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On 26 September 2017, King Salman issued a statement recognizing the right of Saudi women to drive in keeping with Sharia. Licenses were set to be issued to women starting on 24 June 2018.
Frangipani
Top 20
Good work Bravo with STMicroelectronics.
On their website, looks like they're pretty keen on Edge AI https://www.st.com/content/st_com/e...logy/artificial-intelligence-at-the-edge.html
"Moving intelligence from the cloud to the edge
AI is used today in an ever-wider range of applications. It impacts the services we use as well as the devices and machines we interact with every day. Much of this AI relies on cloud computing, using powerful remote data centers, which process the data collected by local devices.
Edge AI deploys AI algorithms and models directly on devices such as Internet of Things (IoT) devices and embedded industrial and automotive systems. This approach enables real-time processing and analysis of data at the source. It paves the way for genuinely autonomous intelligent devices, capable of rapidly deciding and acting in an adaptive way.
Deploying AI at the edge offers several advantages over the cloud approach. It provides speed and ultralow latency, much lower data transmission loads, and significantly improved security. It significantly reduces power thanks to inference algorithms running at milliwatts, or even microwatts, on edge devices vs watts in the cloud. And it preserves privacy.
Edge AI opens many new possibilities for device and service creators across all markets enabling new applications at a fraction of the cost of using the cloud."
Also, having a browse through Remi's LinkedIn feed, a lot to like there as well. Not sure how to find Anil's comment when Remi announced he got the President position back in Dec 2021, but I remember that they seem to know each other quite well. If someone can help me out there, would be great
More Edge AI news from STMicroelectronics:
“STMicroelectronics has announced its second-generation STM32 microprocessors, promising improved performance and acceleration for edge artificial intelligence (AI) and machine learning workloads — and a move to 64-bit processors cores for the first time in the range's history.”
STMicro's STM32 Family Makes the 64-Bit Jump with New Edge AI, 3D-Capable STM32MP Parts
Retaining the STM32 name despite a shift to the 64-bit Arm Cortex-A35 core, STMicro's latest STM32 parts pack in the power.
www.hackster.io
STMicro's STM32 Family Makes the 64-Bit Jump with New Edge AI, 3D-Capable STM32MP Parts
Retaining the STM32 name despite a shift to the 64-bit Arm Cortex-A35 core, STMicro's latest STM32 parts pack in the power.
Gareth HalfacreeFollow
1 day ago • HW101 / Internet of Things / Machine Learning & AI
"Our embedded MPUs address the trend that’s pushing more workloads and greater demands to smart devices, often deployed at the IoT [Internet of Things] edge, for faster response and increased efficiency," says STMicro's Stephane Henry of the company's new processors.
STMicro has announced new parts in the STM32 range, and they're the company's most powerful yet. (
: STMicroelectronics)"The new STM32MP2 devices we are announcing today," Henry continues, "extend the performance trajectory, introducing our most powerful processing engine, now adding edge AI, and supported by the STM32 ecosystem to accelerate product development."
The first surprise in the new chip range: a move to 64-bit processor cores, despite retaining the STM32 name. The STM32MP2 chips are the company's first to use the Arm Cortex-A35 core, running at speeds of up to 1.5GHz, alongside a 32-bit Arm Cortex-M33 microcontroller core running at up to 400MHz, a dedicated graphics processing unit (GPU) with 3D acceleration and support for 1080p displays, a video processing unit (VPU), and a neural processing unit (NPU) designed to accelerate on-device edge AI and machine learning work.
The new parts include up to two 64-bit Arm Cortex-A35 cores running at up to 1.5GHz, but keep the "STM32" name. (
: STMicroelectronics)This NPU, STMicro claims, can deliver up to 1.35 tera-operations per second (TOPS) of compute, with workloads able to run on the Cortex-A35, Cortex-M33, GPU, VPU, or NPU cores as-required. It's not present in all models, however: only the STM32MP257, STM32MP255, and STM32MP23x chips include the AI co-processor and 3D GPU; the remainder of the range stick with one or two Cortex-A35 cores and a single Cortex-M33.
STMicro is making much of the parts' industrial qualifications: the company says the chips can run 24 hours a day for 10 years, with a junction temperature rated at -40°C to 125°C (-40°F to 257°F). The new parts also come with the promise of Security Evaluation Standard for IoT Platforms (SESIP) Level 3 certification, readying them for the US Cyber Trust Mark announced back in July last year — along with the company's recently-unveiled 32-bit STM32WBA55 and STM32WBA54 chips.
Some, but not all, models in the range include 3D-capable GPUs and a 1.35 TOPS neural network coprocessor. (
: STMicroelectronics)Other features of the parts include up to three gigabit Ethernet ports through the use of a two-port switch, support for Time Sensitive Networking (TSN), PCI Express Gen. 2, USB 3.0, and up to three CAN-FD buses, RGB, LVDS, and MIPI Display Serial Interface (DSI) video outputs with H.264 video acceleration on the GPU-equipped models, and a MIPI Camera Serial Interface 2 (CSI-2) input with image signal processor.
While STMicro is unveiling the parts now, however, it is not quite ready to take orders: the parts are due to enter volume production in June this year, with a development board to follow in due course.
More information is available on the STMicro website.
microcontroller
internet of things
machine learning
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computer vision
Gareth HalfacreeFollow
Freelance journalist, technical author, hacker, tinkerer, erstwhile sysadmin. For hire: freelance@halfacree.co.uk.
Tothemoon24
Top 20
Perhaps Cambridge university are mixing up our secret sauce
Researchers from the University of Cambridge and Sussex AI Introduce Spyx: A Lightweight Spiking Neural Networks Simulation and Optimization Library designed in JAX
ByAdnan Hassan
-
March 9, 2024
The evolution of artificial intelligence, particularly in the realm of neural networks, has significantly advanced our data processing and analysis capabilities. Among these advancements, the efficiency of training and deploying deep neural networks has become a paramount focus. Recent trends have shifted towards developing AI accelerators to manage the training of expansive models of multi-billion parameters. Despite their power, these networks often have high operational costs when implemented in production settings.
In contrast to traditional neural networks, Spiking Neural Networks (SNNs) draw inspiration from the biological processes of neural computation, promising a reduction in energy consumption and hardware requirements. SNNs operate on temporally sparse computations, offering a potential solution to the high costs of conventional networks. However, the recurrent nature of SNNs presents unique challenges, especially in leveraging the parallel processing capabilities of modern AI accelerators. Researchers have thus explored the integration of Python-based deep learning frameworks with custom compute kernels to optimize SNN training.
Join the Fastest Growing AI Research Newsletter Read by Researchers from Google + NVIDIA + Meta + Stanford + MIT + Microsoft and many others...Researchers from the University of Cambridge and Sussex AI introduced Spyx, a groundbreaking SNN simulation and optimization library crafted in the JAX ecosystem. Designed to bridge the gap between flexibility and high performance, Spyx utilizes Just-In-Time (JIT) compilation and pre-stage data in accelerators’ vRAM, enabling SNN optimization on NVIDIA GPUs or Google TPUs. This approach ensures optimal hardware utilization and surpasses many existing SNN frameworks in terms of performance while maintaining high flexibility.
Spyx’s methodology is notable for its minimal introduction of unfamiliar concepts, making it accessible for those accustomed to PyTorch-based libraries. By mirroring design patterns from snnTorch, Spyx treats SNNs as a special case of recurrent neural networks, leveraging the Haiku library for object-oriented to functional paradigm conversion. This simplifies the learning curve and minimizes the codebase footprint, increasing hardware utilization through features such as mixed precision training.
Through extensive testing, Spyx demonstrated a remarkable ability to train SNNs efficiently, showcasing faster performance compared to many established frameworks without sacrificing the benefits of flexibility and ease of use inherent in Python-based environments. By fully leveraging the JIT compilation capabilities of JAX, Spyx achieves a level of performance that closely matches or even surpasses frameworks that depend on custom CUDA implementations.
In conclusion, the research can be presented in a nutshell as the following:
- Spyx advances SNN optimization by balancing efficiency and user accessibility.
- Utilizes Just-In-Time JIT compilation to enhance performance on modern hardware.
- Bridges Python-based frameworks and custom compute kernels for optimal SNN training.
- Demonstrates superior performance in benchmarks against established SNN frameworks.
- Facilitates rapid SNN research and development within the expanding JAX ecosystem.
- It serves as a vital tool for pushing neuromorphic computing towards new possibilities.
I tips my lid to you Pdu all the time, for your input, now, research on, in abundance, will you ( Nasa --- Mmmmm )
Akida ballista >>>>>>>>>>>>>>>>>>>>>>>>>>>>>
hotty...
Humble Genius
Regular
Its all happening, and we don't have to worry about the dot joining
DingoBorat
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DingoBorat
Slim
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Bravo
If ARM was an arm, BRN would be its biceps💪!
YAY! We're third on the list! 
If we get 10 percent of 29.2 billion, that's 2.92 billion dollars!!!!
Tajammul Pangarkar
Updated · Mar 7, 2024
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Table of Contents
This approach finds applications in diverse fields, such as sensor networks for environmental monitoring, robotics for enhanced perception and control, and neuroscience research for studying brain function.
With its potential to deliver highly efficient, brain-like computation, neuromorphic computing holds promise for transforming various industries and advancing our understanding of complex biological systems.
Neuromorphic architectures, known for their energy efficiency and parallel processing capabilities, are becoming increasingly popular. The emergence of edge computing and IoT devices also drives the need for low-power, high-performance solutions, further boosting the adoption of neuromorphic technologies.
Furthermore, ongoing advancements in hardware and software, coupled with increased investments, are expanding the market. These trends indicate a promising future for the global neuromorphic computing market’s growth.
, with an estimated compound annual growth rate (CAGR) of 22% from 2023 to 2032.
The groundbreaking neuromorphic research chip Loihi is at the forefront of its efforts, mimicking the human brain’s neural networks for efficient data processing. With robotics, healthcare, and IoT applications, Intel collaborates with research institutions and industry partners to explore innovative uses for neuromorphic computing.
Through ongoing research and development, Intel aims to push the boundaries of computing capabilities, positioning itself as a key player in shaping the future of neuromorphic technologies.
In Europe, Intel maintains hubs in Ireland and Germany, fostering innovation. Expanding into the Asia-Pacific, notable facilities in China and India tap diverse markets and talent.
Operations extend to Japan and other Asia-Pacific nations, driving technological progress. Intel also maintains a presence in Latin America, the Middle East, and Africa, emphasizing its dedication to global innovation and market leadership.
With applications spanning healthcare, finance, and cybersecurity, IBM collaborates with research institutions and industry partners to explore and develop TrueNorth technology.
Through ongoing research and development efforts, IBM continues to push the boundaries of neuromorphic computing, positioning itself as a driving force in shaping the future of computing architectures.
IBM has established offices, research facilities, and manufacturing sites in key regions worldwide, including North America, Europe, Asia Pacific, and Latin America. This extensive geographical footprint enables IBM to effectively serve its diverse customer base and collaborate with partners on a global scale.
Additionally, IBM’s presence in various regions facilitates market expansion and supports its commitment to innovation and technology leadership across the globe.
With applications spanning surveillance, autonomous vehicles, and cybersecurity, BrainChip collaborates with industry partners and research institutions to innovate and develop solutions using the Akida platform.
Through continuous research and development, BrainChip is committed to advancing neuromorphic computing technology to meet the evolving needs of diverse markets.
With a focus on key markets such as the United States, Europe (including the UK, Germany, and France), and Asia-Pacific countries like China, Japan, Australia, and South Korea, BrainChip addresses diverse industry needs in cybersecurity, surveillance, automotive, and IoT.
Through its strategic positioning, BrainChip aims to drive innovation and provide cutting-edge AI technologies worldwide.
With its Zeroth platform, Qualcomm offers efficient processing capabilities tailored for various applications, including edge computing and IoT devices. The company collaborates with research institutions and industry partners to explore innovative solutions and drive advancements in the field.
Qualcomm’s commitment to research and development positions it as a leading force in unlocking the potential of neuromorphic computing for diverse industries.
Across the Asia-Pacific, including China, South Korea, Japan, India, and Taiwan, Qualcomm has established offices and partnerships to support local collaborations. It engages in research, development, and customer support in Europe, the Middle East, and Africa, particularly in the UK, Germany, and France.
Additionally, Qualcomm has a presence in select Latin American countries, contributing to mobile connectivity adoption. Qualcomm serves global markets through strategic positioning, drives innovation, and maintains semiconductor leadership.
Its product portfolio, including GPUs and software frameworks like CUDA and TensorRT, supports neuromorphic computing applications in various domains.
Collaborations with industry partners and research institutions further accelerate innovation, positioning NVIDIA at the forefront of the neuromorphic computing revolution.
With its expertise, NVIDIA is poised to reshape AI and computational neuroscience, driving the development of smarter, more efficient systems across industries.
With key locations in major cities like London, Munich, Beijing, and Bangalore, NVIDIA serves its global customer base and collaborates with technology companies and research institutions to drive innovation in AI-driven technologies.
This extensive geographical presence underscores NVIDIA’s commitment to advancing GPU technology and AI solutions globally.
If we get 10 percent of 29.2 billion, that's 2.92 billion dollars!!!!
Top 10 Neuromorphic Computing Companies | Better Output Technology
Tajammul Pangarkar
Updated · Mar 7, 2024
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Table of Contents
- Neuromorphic Computing Market Overview
- Market Drivers
- Market Size
- List of Major Companies
- Intel
- IBM
- BrainChip
- Qualcomm
- NVIDIA
- Hewlett-Packard
- Samsung
- Accenture
- Cadence-Design
- Knowm
Neuromorphic Computing Market Overview
Inspired by the brain’s neural networks, Neuromorphic computing revolutionizes computer architecture by emulating biological neurons. Using spiking neurons and synaptic plasticity principles, neuromorphic hardware enables efficient, low-power processing.This approach finds applications in diverse fields, such as sensor networks for environmental monitoring, robotics for enhanced perception and control, and neuroscience research for studying brain function.
With its potential to deliver highly efficient, brain-like computation, neuromorphic computing holds promise for transforming various industries and advancing our understanding of complex biological systems.
Market Drivers
The global neuromorphic computing market is growing due to several factors. Firstly, various industries have a rising demand for efficient computing solutions.Neuromorphic architectures, known for their energy efficiency and parallel processing capabilities, are becoming increasingly popular. The emergence of edge computing and IoT devices also drives the need for low-power, high-performance solutions, further boosting the adoption of neuromorphic technologies.
Furthermore, ongoing advancements in hardware and software, coupled with increased investments, are expanding the market. These trends indicate a promising future for the global neuromorphic computing market’s growth.
Market Size
The global neuromorphic computing market reached USD 4.2 billion in 2022 and is projected to reach USD 29.2 billion by 2032, with an estimated compound annual growth rate (CAGR) of 22% from 2023 to 2032.List of Major Companies
These are the top 10 companies operating in the Neuromorphic Computing Market:Intel
Company Overview
| Establishment Year | 1968 |
| Headquarter | Santa Clara, California, U.S. |
| Key Management | Pat Gelsinger (CEO) |
| Revenue (US$ Bn) | $ 54.2 Billion (2023) |
| Headcount | ~ 124,800 (2023) |
| Website | https://www.intel.com/ |
About Intel Corporation
Intel Corporation leads the way in neuromorphic computing, leveraging its expertise in semiconductor manufacturing and technology innovation.The groundbreaking neuromorphic research chip Loihi is at the forefront of its efforts, mimicking the human brain’s neural networks for efficient data processing. With robotics, healthcare, and IoT applications, Intel collaborates with research institutions and industry partners to explore innovative uses for neuromorphic computing.
Through ongoing research and development, Intel aims to push the boundaries of computing capabilities, positioning itself as a key player in shaping the future of neuromorphic technologies.
Geographical Presence
Intel Corporation strategically situates itself globally, headquartered in Santa Clara, California. Its primary operations cover North America, including major Oregon, Arizona, and Texas manufacturing sites.In Europe, Intel maintains hubs in Ireland and Germany, fostering innovation. Expanding into the Asia-Pacific, notable facilities in China and India tap diverse markets and talent.
Operations extend to Japan and other Asia-Pacific nations, driving technological progress. Intel also maintains a presence in Latin America, the Middle East, and Africa, emphasizing its dedication to global innovation and market leadership.
Recent Developments
- In October 2021, Intel unveiled Loihi 2, its latest neuromorphic computing chip, representing a notable progression in the field. Utilizing Intel 4 process technology, Loihi 2 presents improved capabilities for studying advanced neuromorphic neural networks.
- In March 2020, Intel revealed information about Pohoiki Springs, a neuromorphic computing system featuring 100 million artificial neurons for processing tasks.
IBM
Company Overview
| Establishment Year | 1911 |
| Headquarter | Armonk, New York, United States |
| Key Management | Arvind Krishna (Chairman & CEO) |
| Revenue (US$ Bn) | $ 61.8 B (2022) |
| Headcount | ~ 288,300 (2022) |
| Website | https://www.ibm.com/ |
About IBM Corporation
IBM Corporation is a leader in neuromorphic computing, pioneering innovative solutions for various applications. Its TrueNorth architecture is a milestone in this field, offering highly efficient and low-power processing capabilities akin to the human brain.With applications spanning healthcare, finance, and cybersecurity, IBM collaborates with research institutions and industry partners to explore and develop TrueNorth technology.
Through ongoing research and development efforts, IBM continues to push the boundaries of neuromorphic computing, positioning itself as a driving force in shaping the future of computing architectures.
Geographical Presence
IBM Corporation maintains a global presence with operations spanning across multiple continents. The company’s headquarters are located in Armonk, New York, USA.IBM has established offices, research facilities, and manufacturing sites in key regions worldwide, including North America, Europe, Asia Pacific, and Latin America. This extensive geographical footprint enables IBM to effectively serve its diverse customer base and collaborate with partners on a global scale.
Additionally, IBM’s presence in various regions facilitates market expansion and supports its commitment to innovation and technology leadership across the globe.
Recent Developments
- In February 2024, Wipro introduced a new solution that harnesses IBM’s WatsonX AI and data platform capabilities to boost AI adoption in enterprises.
- In October 2023, IBM launched its inaugural AI-focused chip, NorthPole, claiming it to be 22 times faster than competitors. The chip aims to surpass current computing performance standards and address the growing demand for AI technologies.
BrainChip
Company Overview
| Establishment Year | 2004 |
| Headquarter | Sydney, NSW, Australia |
| Key Management | Sean Hehir (CEO) |
| Revenue (US$ Bn) | $ 2.3 Billion (2023) |
| Headcount | ~ 70 (2023) |
| Website | https://brainchip.com/ |
About BrainChip Holdings
BrainChip Holdings Ltd. leads neuromorphic computing, specializing in ultra-low-power solutions for various applications. Its flagship product, the Akida Neuromorphic System-On-Chip (NSoC), offers efficient processing capabilities tailored for edge computing and IoT devices.With applications spanning surveillance, autonomous vehicles, and cybersecurity, BrainChip collaborates with industry partners and research institutions to innovate and develop solutions using the Akida platform.
Through continuous research and development, BrainChip is committed to advancing neuromorphic computing technology to meet the evolving needs of diverse markets.
Geographical Presence
BrainChip Holdings Ltd., a leader in neuromorphic computing solutions, has a solid global presence spanning North America, Europe, and Asia-Pacific.With a focus on key markets such as the United States, Europe (including the UK, Germany, and France), and Asia-Pacific countries like China, Japan, Australia, and South Korea, BrainChip addresses diverse industry needs in cybersecurity, surveillance, automotive, and IoT.
Through its strategic positioning, BrainChip aims to drive innovation and provide cutting-edge AI technologies worldwide.
Recent Developments
- In December 2023, BrainChip Holdings and Unigen Corporation partnered to offer a new Unigen Cupcake Edge AI Server version, utilizing BrainChip’s Akida neuromorphic processor for enhanced compactness and performance.
- In January 2023, BrainChip Holdings and MYWAI formed a strategic partnership to provide advanced Edge AI solutions using neuromorphic computing.
Qualcomm
Company Overview
| Establishment Year | 1985 |
| Headquarter | San Diego, California, U.S. |
| Key Management | Cristiano Amon (CEO) |
| Revenue (US$ Bn) | $38.5 Billion (2023) |
| Headcount | ~ 50,000 (2023) |
| Website | https://www.qualcomm.com/ |
About Qualcomm Incorporated
Qualcomm Incorporated is pivotal in advancing neuromorphic computing, drawing upon its semiconductor design and mobile technologies expertise.With its Zeroth platform, Qualcomm offers efficient processing capabilities tailored for various applications, including edge computing and IoT devices. The company collaborates with research institutions and industry partners to explore innovative solutions and drive advancements in the field.
Qualcomm’s commitment to research and development positions it as a leading force in unlocking the potential of neuromorphic computing for diverse industries.
Geographical Presence
Qualcomm, headquartered in San Diego, California, maintains a global presence with operations in key regions worldwide. It focuses on research and development in the US, notably in 5G technology.Across the Asia-Pacific, including China, South Korea, Japan, India, and Taiwan, Qualcomm has established offices and partnerships to support local collaborations. It engages in research, development, and customer support in Europe, the Middle East, and Africa, particularly in the UK, Germany, and France.
Additionally, Qualcomm has a presence in select Latin American countries, contributing to mobile connectivity adoption. Qualcomm serves global markets through strategic positioning, drives innovation, and maintains semiconductor leadership.
Recent Development
- In October 2023, Qualcomm unveiled Snapdragon Seamless, a cross-platform technology allowing Android, Windows, and Snapdragon devices on different operating systems to seamlessly discover and share information, functioning as a unified system.
- In September 2023, EE revealed its inaugural strategic plan to become the UK’s foremost customer-focused brand for its home broadband service. Teaming up with Qualcomm Technologies, Inc., EE intends to launch new in-home hardware featuring Qualcomm Wi-Fi 7 platforms. This effort seeks to provide superior home connectivity to UK consumers, positioning them as early adopters of next-generation Wi-Fi technology.
NVIDIA
Company Overview
| Establishment Year | 1993 |
| Headquarter | Santa Clara, California, U.S. |
| Key Management | Jensen Huang (President and CEO) |
| Revenue (US$ Bn) | $60.9 B (2023) |
| Headcount | ~ 29,600 (2023) |
| Website | http://conservis.ag/ |
About NVIDIA Corporation
NVIDIA Corporation, a leader in graphics processing units (GPUs) and artificial intelligence (AI) solutions, is advancing neuromorphic computing. Through dedicated research and development, NVIDIA designs specialized hardware architectures and efficient algorithms inspired by the brain’s neural networks.Its product portfolio, including GPUs and software frameworks like CUDA and TensorRT, supports neuromorphic computing applications in various domains.
Collaborations with industry partners and research institutions further accelerate innovation, positioning NVIDIA at the forefront of the neuromorphic computing revolution.
With its expertise, NVIDIA is poised to reshape AI and computational neuroscience, driving the development of smarter, more efficient systems across industries.
Geographical Presence
NVIDIA Corporation, a global leader in GPUs and AI technology, maintains a significant presence worldwide. In Santa Clara, California, NVIDIA strategically establishes offices, research facilities, and partnerships across North America, Europe, the Middle East, Africa, and Asia-Pacific.With key locations in major cities like London, Munich, Beijing, and Bangalore, NVIDIA serves its global customer base and collaborates with technology companies and research institutions to drive innovation in AI-driven technologies.
This extensive geographical presence underscores NVIDIA’s commitment to advancing GPU technology and AI solutions globally.
Recent Developments
- In February 2024, AMD introduced a solution utilizing ROCm technology to allow NVIDIA CUDA binaries to run on AMD graphics hardware seamlessly without requiring any modifications.
- In November 2023, NVIDIA introduced CUDA Quantum 0.5, its latest platform tailored for quantum-classical computing application development.
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Bravo
If ARM was an arm, BRN would be its biceps💪!
Continued...
The company aims to integrate neuromorphic principles into its product lineup through partnerships with academic institutions and industry peers, potentially offering specialized hardware or software optimized for such tasks.
This strategic step underscores Hewlett-Packard’s commitment to innovation and staying competitive by meeting customer needs in the rapidly evolving computing industry.
In North America, HP is prominent in cities like Houston and Boise, serving Canada from Toronto and Vancouver. In Europe, the Middle East, and Africa, it operates in the UK, Germany, and the UAE, with offices in London, Munich, and Dubai.
In the Asia-Pacific, HP is strong in China, India, and Japan, with offices in Beijing, Bangalore, and Tokyo. This extensive global network allows HP to effectively serve its diverse customer base and seize emerging market opportunities.
While Samsung’s primary focus remains consumer electronics, it invests in R&D efforts and collaborations to integrate neuromorphic principles into its products.
Through partnerships with academia and industry, Samsung explores innovative solutions in areas like image recognition and autonomous systems.
While specific details are not widely disclosed, Samsung likely incorporates neuromorphic technology into its devices to deliver smarter experiences.
This strategic move reflects Samsung’s commitment to innovation and technological leadership in the electronics industry, positioning it to meet evolving consumer demands.
In Suwon, South Korea, Samsung strategically establishes offices, manufacturing facilities, and research centers across continents to serve its global customer base and capitalize on emerging market opportunities.
With significant operations in the Asia-Pacific region, including South Korea, China, India, and Japan, Samsung also maintains a strong presence in North America, Europe, the Middle East, and Africa.
This extensive global network allows Samsung to serve diverse markets and industries effectively, ensuring its continued success and leadership in the electronics industry.
While Accenture primarily focuses on providing consulting, technology, and outsourcing services across industries, it invests in R&D efforts and collaborations to leverage neuromorphic computing principles.
Accenture aims to integrate neuromorphic techniques into its solutions by partnering with technology vendors and academic researchers, enabling clients to harness AI advancements for competitive advantages.
Although specific client solutions are not extensively disclosed, Accenture’s involvement underscores its commitment to innovation and thought leadership in AI and cognitive computing, positioning it to drive digital transformation for clients.
Accenture strategically establishes offices, delivery centers, and innovation hubs to serve its diverse customer base and capitalize on emerging market opportunities.
From regional headquarters in cities like New York and London to digital studios in Singapore and Dubai, Accenture’s global network enables it to provide innovative solutions and drive digital transformation for clients across various industries.
While its core focus remains on providing solutions for the semiconductor industry, Cadence has also expressed interest in neuromorphic computing. Inspired by the human brain, this emerging field aims to develop energy-efficient computing systems for complex cognitive tasks.
Cadence is well-positioned to contribute to advancing neuromorphic computing technologies by leveraging its expertise in EDA and semiconductor design.
This may involve developing specialized design tools and collaborating with research institutions to explore new architectures and algorithms. Cadence’s involvement highlights its commitment to innovation in electronic design and computing.
Cadence has established a firm foothold in the Asia-Pacific with offices in Shanghai, Beijing, Tokyo, Seoul, Taipei, and Bangalore. These strategic locations enable Cadence to serve the semiconductor industry worldwide effectively, providing innovative solutions and personalized services to its diverse clientele.
The company’s primary focus is on developing memristor-based neuromorphic hardware architectures and algorithms that mimic the synaptic connections in the human brain. Knowm’s innovative technology enables energy-efficient and scalable neuromorphic computing systems capable of performing complex cognitive tasks.
Through its research efforts and partnerships with academic institutions and industry leaders, Knowm aims to accelerate the adoption of neuromorphic computing across various applications, including artificial intelligence, robotics, and IoT.
As a leader in the field, Knowm is driving innovation and shaping the future of computing with its groundbreaking neuromorphic solutions.
The company’s footprint extends to regions such as North America, Europe, and Asia-Pacific, positioning itself strategically to leverage diverse market opportunities and serve a broad spectrum of clients.
Through its network of offices and operational centers, Knowm Inc. maintains a robust infrastructure for research and development, sales and marketing, and customer support, ensuring the efficient delivery of its innovative solutions and services.
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Hewlett-Packard
Company Overview
| Establishment Year | 1939 |
| Headquarter | Palo Alto, California, United States |
| Key Management | Enrique Lores (President and CEO) |
| Revenue (US$ Bn) | $ 19.6 Billion (2023) |
| Headcount | ~ 62,000 (2023) |
| Website | https://www.hpe.com/in/en/home.html |
About Hewlett-Packard
Hewlett-Packard, a leading technology company, is exploring neuromorphic computing, drawing on its computing and data processing expertise. While details are limited, Hewlett-Packard invests in R&D initiatives to grasp and apply neuromorphic computing concepts.The company aims to integrate neuromorphic principles into its product lineup through partnerships with academic institutions and industry peers, potentially offering specialized hardware or software optimized for such tasks.
This strategic step underscores Hewlett-Packard’s commitment to innovation and staying competitive by meeting customer needs in the rapidly evolving computing industry.
Geographical Presence
HP, a global technology leader, has a broad worldwide presence, headquartered in Palo Alto, California. It strategically establishes offices, research centers, and manufacturing facilities across continents.In North America, HP is prominent in cities like Houston and Boise, serving Canada from Toronto and Vancouver. In Europe, the Middle East, and Africa, it operates in the UK, Germany, and the UAE, with offices in London, Munich, and Dubai.
In the Asia-Pacific, HP is strong in China, India, and Japan, with offices in Beijing, Bangalore, and Tokyo. This extensive global network allows HP to effectively serve its diverse customer base and seize emerging market opportunities.
Recent Developments
- In February 2024, Real Madrid announced a global technology sponsorship deal with HP Inc.
- In November 2023, HP unveiled a strategic partnership with INDO-MIM to advance metal additive manufacturing technology and broaden its applications across industries.
Samsung
Company Overview
| Establishment Year | 1969 |
| Headquarter | Suwon, South Korea |
| Key Management | Lee Jae-yong (Executive Chairman) |
| Revenue (US$ Bn) | $ 232.5 Billion (2023) |
| Headcount | ~ 270,372 (2023) |
| Website | https://www.samsung.com/ |
About Samsung Electronics
Samsung Electronics Co., Ltd., a global leader in electronics, has shown growing interest in neuromorphic computing, an emerging field mimicking the brain’s neural architecture.While Samsung’s primary focus remains consumer electronics, it invests in R&D efforts and collaborations to integrate neuromorphic principles into its products.
Through partnerships with academia and industry, Samsung explores innovative solutions in areas like image recognition and autonomous systems.
While specific details are not widely disclosed, Samsung likely incorporates neuromorphic technology into its devices to deliver smarter experiences.
This strategic move reflects Samsung’s commitment to innovation and technological leadership in the electronics industry, positioning it to meet evolving consumer demands.
Geographical Presence
Samsung Electronics, a global leader in electronics and technology, has a widespread geographical presence worldwide.In Suwon, South Korea, Samsung strategically establishes offices, manufacturing facilities, and research centers across continents to serve its global customer base and capitalize on emerging market opportunities.
With significant operations in the Asia-Pacific region, including South Korea, China, India, and Japan, Samsung also maintains a strong presence in North America, Europe, the Middle East, and Africa.
This extensive global network allows Samsung to serve diverse markets and industries effectively, ensuring its continued success and leadership in the electronics industry.
Recent Developments
- In February 2024, Samsung opened a new Premium Experience Store on Park Street in Kolkata, aiming to be a comprehensive destination for sales and service. The store will provide engaging customer experiences, including demonstrations of the Samsung SmartThings connected device ecosystem and various interactive activities.
- In January 2023, Samsung introduced the Bespoke Infinite Line Refrigerator in several global markets, starting with Europe and expanding to countries like Mexico, Thailand, and Australia.
Accenture
Company Overview
| Establishment Year | 1989 |
| Headquarter | Dublin, Ireland |
| Key Management | Julie Sweet (Chair and CEO) |
| Revenue (US$ Bn) | $ 64.1 Billion (2023) |
| Headcount | ~ 733,000 (2023) |
| Website | https://www.accenture.com/ |
About Accenture
Accenture, a leading global professional services company, is increasingly interested in neuromorphic computing, an emerging field that emulates the brain’s neural architecture for efficient task execution.While Accenture primarily focuses on providing consulting, technology, and outsourcing services across industries, it invests in R&D efforts and collaborations to leverage neuromorphic computing principles.
Accenture aims to integrate neuromorphic techniques into its solutions by partnering with technology vendors and academic researchers, enabling clients to harness AI advancements for competitive advantages.
Although specific client solutions are not extensively disclosed, Accenture’s involvement underscores its commitment to innovation and thought leadership in AI and cognitive computing, positioning it to drive digital transformation for clients.
Geographical Presence
Accenture, a global professional services company headquartered in Dublin, Ireland, maintains a global presence. With significant operations in North America, Europe, Asia-Pacific, the Middle East, and Africa.Accenture strategically establishes offices, delivery centers, and innovation hubs to serve its diverse customer base and capitalize on emerging market opportunities.
From regional headquarters in cities like New York and London to digital studios in Singapore and Dubai, Accenture’s global network enables it to provide innovative solutions and drive digital transformation for clients across various industries.
Recent Development
- In February 2024, Accenture finalized its purchase of Insight Sourcing, a company specializing in strategic sourcing and procurement services.
- In January 2024, Accenture concluded its acquisition of NaviSite, a provider of digital transformation and managed services. This acquisition strengthens and expands Accenture’s application and infrastructure-managed services offerings, enabling clients throughout North America to modernize their IT infrastructure for the AI era.
Cadence-Design
Company Overview
| Establishment Year | 1988 |
| Headquarter | San Jose, California, U.S. |
| Key Management | Anirudh Devgan (President & CEO) |
| Revenue (US$ Bn) | $ 4.09 Billion (2023) |
| Headcount | ~ 11,200 (2023) |
| Website | http://www.cadence.com/ |
About Cadence Design Systems
Cadence Design Systems, Inc. is a prominent technology company specializing in electronic design automation (EDA) and semiconductor intellectual property (IP).While its core focus remains on providing solutions for the semiconductor industry, Cadence has also expressed interest in neuromorphic computing. Inspired by the human brain, this emerging field aims to develop energy-efficient computing systems for complex cognitive tasks.
Cadence is well-positioned to contribute to advancing neuromorphic computing technologies by leveraging its expertise in EDA and semiconductor design.
This may involve developing specialized design tools and collaborating with research institutions to explore new architectures and algorithms. Cadence’s involvement highlights its commitment to innovation in electronic design and computing.
Geographical Presence
Cadence Design Systems, Inc. boasts a global presence headquartered in San Jose, California, with offices strategically situated across North America, Europe, and Asia-Pacific. In North America, key locations include Austin and Boston, while in Europe, offices are found in Munich, Cambridge, Paris, and Milan.Cadence has established a firm foothold in the Asia-Pacific with offices in Shanghai, Beijing, Tokyo, Seoul, Taipei, and Bangalore. These strategic locations enable Cadence to serve the semiconductor industry worldwide effectively, providing innovative solutions and personalized services to its diverse clientele.
Recent Development
- In February 2024, Cadence partnered with Intel Foundry to create and validate an advanced packaging process using Embedded Multi-die Interconnect Bridge (EMIB) technology. This collaboration aims to tackle the increasing complexity of multi-chip architectures with integrated solutions.
- In February 2024, Cadence launched the Millennium Enterprise Multiphysics Platform, the first in the industry, offering accelerated hardware/software solutions for digital twin-based multiphysics system design and analysis.
Knowm
Company Overview
| Establishment Year | 2002 |
| Headquarter | Santa Fe, New Mexico, United States |
| Key Management | Alex Nugent (CEO) |
| Revenue (US$ Bn) | $ 2.2 Billion (2023) |
| Headcount | ~ 3,564 (2023) |
| Website | https://knowm.org/ |
About Knowm
Knowm Inc. is a pioneering company at the forefront of neuromorphic computing research and development. Specializing in neuromorphic hardware and software solutions, Knowm is dedicated to advancing the field of brain-inspired computing.The company’s primary focus is on developing memristor-based neuromorphic hardware architectures and algorithms that mimic the synaptic connections in the human brain. Knowm’s innovative technology enables energy-efficient and scalable neuromorphic computing systems capable of performing complex cognitive tasks.
Through its research efforts and partnerships with academic institutions and industry leaders, Knowm aims to accelerate the adoption of neuromorphic computing across various applications, including artificial intelligence, robotics, and IoT.
As a leader in the field, Knowm is driving innovation and shaping the future of computing with its groundbreaking neuromorphic solutions.
Geographical Presence
Knowm Inc., a renowned player in the technology sector, boasts a notable geographical presence across strategic locations globally.The company’s footprint extends to regions such as North America, Europe, and Asia-Pacific, positioning itself strategically to leverage diverse market opportunities and serve a broad spectrum of clients.
Through its network of offices and operational centers, Knowm Inc. maintains a robust infrastructure for research and development, sales and marketing, and customer support, ensuring the efficient delivery of its innovative solutions and services.
Neuromorphic Computing Companies | Better Output Technology
Top 10 Neuromorphic Computing Companies: Intel, IBM, BrainChip, Qualcomm, NVIDIA, Hewlett-Packard, Samsung, Accenture, Cadence-Design, Knowm
scoop.market.us
rgupta
Regular
Strange enoughYAY! We're third on the list!
Top 10 Neuromorphic Computing Companies | Better Output Technology
Tajammul Pangarkar
Updated · Mar 7, 2024
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Table of Contents
- Neuromorphic Computing Market Overview
- Market Drivers
- Market Size
- List of Major Companies
- Intel
- IBM
- BrainChip
- Qualcomm
- NVIDIA
- Hewlett-Packard
- Samsung
- Accenture
- Cadence-Design
- Knowm
Neuromorphic Computing Market Overview
Inspired by the brain’s neural networks, Neuromorphic computing revolutionizes computer architecture by emulating biological neurons. Using spiking neurons and synaptic plasticity principles, neuromorphic hardware enables efficient, low-power processing.
This approach finds applications in diverse fields, such as sensor networks for environmental monitoring, robotics for enhanced perception and control, and neuroscience research for studying brain function.
With its potential to deliver highly efficient, brain-like computation, neuromorphic computing holds promise for transforming various industries and advancing our understanding of complex biological systems.
Market Drivers
The global neuromorphic computing market is growing due to several factors. Firstly, various industries have a rising demand for efficient computing solutions.
Neuromorphic architectures, known for their energy efficiency and parallel processing capabilities, are becoming increasingly popular. The emergence of edge computing and IoT devices also drives the need for low-power, high-performance solutions, further boosting the adoption of neuromorphic technologies.
Furthermore, ongoing advancements in hardware and software, coupled with increased investments, are expanding the market. These trends indicate a promising future for the global neuromorphic computing market’s growth.
Market Size
The global neuromorphic computing market reached USD 4.2 billion in 2022 and is projected to reach USD 29.2 billion by 2032
List of Major Companies
These are the top 10 companies operating in the Neuromorphic Computing Market:
Intel
Company Overview
Establishment Year 1968 Headquarter Santa Clara, California, U.S. Key Management Pat Gelsinger (CEO) Revenue (US$ Bn) $ 54.2 Billion (2023) Headcount ~ 124,800 (2023) Website https://www.intel.com/ About Intel Corporation
Intel Corporation leads the way in neuromorphic computing, leveraging its expertise in semiconductor manufacturing and technology innovation.
The groundbreaking neuromorphic research chip Loihi is at the forefront of its efforts, mimicking the human brain’s neural networks for efficient data processing. With robotics, healthcare, and IoT applications, Intel collaborates with research institutions and industry partners to explore innovative uses for neuromorphic computing.
Through ongoing research and development, Intel aims to push the boundaries of computing capabilities, positioning itself as a key player in shaping the future of neuromorphic technologies.
Geographical Presence
Intel Corporation strategically situates itself globally, headquartered in Santa Clara, California. Its primary operations cover North America, including major Oregon, Arizona, and Texas manufacturing sites.
In Europe, Intel maintains hubs in Ireland and Germany, fostering innovation. Expanding into the Asia-Pacific, notable facilities in China and India tap diverse markets and talent.
Operations extend to Japan and other Asia-Pacific nations, driving technological progress. Intel also maintains a presence in Latin America, the Middle East, and Africa, emphasizing its dedication to global innovation and market leadership.
Recent Developments
- In October 2021, Intel unveiled Loihi 2, its latest neuromorphic computing chip, representing a notable progression in the field. Utilizing Intel 4 process technology, Loihi 2 presents improved capabilities for studying advanced neuromorphic neural networks.
- In March 2020, Intel revealed information about Pohoiki Springs, a neuromorphic computing system featuring 100 million artificial neurons for processing tasks.
IBM
Company Overview
Establishment Year 1911 Headquarter Armonk, New York, United States Key Management Arvind Krishna (Chairman & CEO) Revenue (US$ Bn) $ 61.8 B (2022) Headcount ~ 288,300 (2022) Website https://www.ibm.com/ About IBM Corporation
IBM Corporation is a leader in neuromorphic computing, pioneering innovative solutions for various applications. Its TrueNorth architecture is a milestone in this field, offering highly efficient and low-power processing capabilities akin to the human brain.
With applications spanning healthcare, finance, and cybersecurity, IBM collaborates with research institutions and industry partners to explore and develop TrueNorth technology.
Through ongoing research and development efforts, IBM continues to push the boundaries of neuromorphic computing, positioning itself as a driving force in shaping the future of computing architectures.
Geographical Presence
IBM Corporation maintains a global presence with operations spanning across multiple continents. The company’s headquarters are located in Armonk, New York, USA.
IBM has established offices, research facilities, and manufacturing sites in key regions worldwide, including North America, Europe, Asia Pacific, and Latin America. This extensive geographical footprint enables IBM to effectively serve its diverse customer base and collaborate with partners on a global scale.
Additionally, IBM’s presence in various regions facilitates market expansion and supports its commitment to innovation and technology leadership across the globe.
Recent Developments
- In February 2024, Wipro introduced a new solution that harnesses IBM’s WatsonX AI and data platform capabilities to boost AI adoption in enterprises.
- In October 2023, IBM launched its inaugural AI-focused chip, NorthPole, claiming it to be 22 times faster than competitors. The chip aims to surpass current computing performance standards and address the growing demand for AI technologies.
BrainChip
Company Overview
Establishment Year 2004 Headquarter Sydney, NSW, Australia Key Management Sean Hehir (CEO) Revenue (US$ Bn) $ 2.3 Billion (2023) Headcount ~ 70 (2023) Website https://brainchip.com/ About BrainChip Holdings
BrainChip Holdings Ltd. leads neuromorphic computing, specializing in ultra-low-power solutions for various applications. Its flagship product, the Akida Neuromorphic System-On-Chip (NSoC), offers efficient processing capabilities tailored for edge computing and IoT devices.
With applications spanning surveillance, autonomous vehicles, and cybersecurity, BrainChip collaborates with industry partners and research institutions to innovate and develop solutions using the Akida platform.
Through continuous research and development, BrainChip is committed to advancing neuromorphic computing technology to meet the evolving needs of diverse markets.
Geographical Presence
BrainChip Holdings Ltd., a leader in neuromorphic computing solutions, has a solid global presence spanning North America, Europe, and Asia-Pacific.
With a focus on key markets such as the United States, Europe (including the UK, Germany, and France), and Asia-Pacific countries like China, Japan, Australia, and South Korea, BrainChip addresses diverse industry needs in cybersecurity, surveillance, automotive, and IoT.
Through its strategic positioning, BrainChip aims to drive innovation and provide cutting-edge AI technologies worldwide.
Recent Developments
- In December 2023, BrainChip Holdings and Unigen Corporation partnered to offer a new Unigen Cupcake Edge AI Server version, utilizing BrainChip’s Akida neuromorphic processor for enhanced compactness and performance.
- In January 2023, BrainChip Holdings and MYWAI formed a strategic partnership to provide advanced Edge AI solutions using neuromorphic computing.
Qualcomm
Company Overview
Establishment Year 1985 Headquarter San Diego, California, U.S. Key Management Cristiano Amon (CEO) Revenue (US$ Bn) $38.5 Billion (2023) Headcount ~ 50,000 (2023) Website https://www.qualcomm.com/ About Qualcomm Incorporated
Qualcomm Incorporated is pivotal in advancing neuromorphic computing, drawing upon its semiconductor design and mobile technologies expertise.
With its Zeroth platform, Qualcomm offers efficient processing capabilities tailored for various applications, including edge computing and IoT devices. The company collaborates with research institutions and industry partners to explore innovative solutions and drive advancements in the field.
Qualcomm’s commitment to research and development positions it as a leading force in unlocking the potential of neuromorphic computing for diverse industries.
Geographical Presence
Qualcomm, headquartered in San Diego, California, maintains a global presence with operations in key regions worldwide. It focuses on research and development in the US, notably in 5G technology.
Across the Asia-Pacific, including China, South Korea, Japan, India, and Taiwan, Qualcomm has established offices and partnerships to support local collaborations. It engages in research, development, and customer support in Europe, the Middle East, and Africa, particularly in the UK, Germany, and France.
Additionally, Qualcomm has a presence in select Latin American countries, contributing to mobile connectivity adoption. Qualcomm serves global markets through strategic positioning, drives innovation, and maintains semiconductor leadership.
Recent Development
- In October 2023, Qualcomm unveiled Snapdragon Seamless, a cross-platform technology allowing Android, Windows, and Snapdragon devices on different operating systems to seamlessly discover and share information, functioning as a unified system.
- In September 2023, EE revealed its inaugural strategic plan to become the UK’s foremost customer-focused brand for its home broadband service. Teaming up with Qualcomm Technologies, Inc., EE intends to launch new in-home hardware featuring Qualcomm Wi-Fi 7 platforms. This effort seeks to provide superior home connectivity to UK consumers, positioning them as early adopters of next-generation Wi-Fi technology.
NVIDIA
Company Overview
Establishment Year 1993 Headquarter Santa Clara, California, U.S. Key Management Jensen Huang (President and CEO) Revenue (US$ Bn) $60.9 B (2023) Headcount ~ 29,600 (2023) Website http://conservis.ag/ About NVIDIA Corporation
NVIDIA Corporation, a leader in graphics processing units (GPUs) and artificial intelligence (AI) solutions, is advancing neuromorphic computing. Through dedicated research and development, NVIDIA designs specialized hardware architectures and efficient algorithms inspired by the brain’s neural networks.
Its product portfolio, including GPUs and software frameworks like CUDA and TensorRT, supports neuromorphic computing applications in various domains.
Collaborations with industry partners and research institutions further accelerate innovation, positioning NVIDIA at the forefront of the neuromorphic computing revolution.
With its expertise, NVIDIA is poised to reshape AI and computational neuroscience, driving the development of smarter, more efficient systems across industries.
Geographical Presence
NVIDIA Corporation, a global leader in GPUs and AI technology, maintains a significant presence worldwide. In Santa Clara, California, NVIDIA strategically establishes offices, research facilities, and partnerships across North America, Europe, the Middle East, Africa, and Asia-Pacific.
With key locations in major cities like London, Munich, Beijing, and Bangalore, NVIDIA serves its global customer base and collaborates with technology companies and research institutions to drive innovation in AI-driven technologies.
This extensive geographical presence underscores NVIDIA’s commitment to advancing GPU technology and AI solutions globally.
Recent Developments
- In February 2024, AMD introduced a solution utilizing ROCm technology to allow NVIDIA CUDA binaries to run on AMD graphics hardware seamlessly without requiring any modifications.
- In November 2023, NVIDIA introduced CUDA Quantum 0.5, its latest platform tailored for quantum-classical computing application development.
Arm is missing here!!!
DingoBorat
Slim
According to this report, we're already making billions!!YAY! We're third on the list!
If we get 10 percent of 29.2 billion, that's 2.92 billion dollars!!!!
View attachment 58809
Top 10 Neuromorphic Computing Companies | Better Output Technology
Tajammul Pangarkar
Updated · Mar 7, 2024
SHARE:
Scoop.market.us is supported by its audience. When you purchase through links on our site, we may earn an affiliate commission. Learn more.
close
Advertiser Disclosure
At Market.us Scoop, we strive to bring you the most accurate and up-to-date information by utilizing a variety of resources, including paid and free sources, primary research, and phone interviews. Our data is available to the public free of charge, and we encourage you to use it to inform your personal or business decisions. If you choose to republish our data on your own website, we simply ask that you provide a proper citation or link back to the respective page on Market.us Scoop. We appreciate your support and look forward to continuing to provide valuable insights for our audience.
Table of Contents
- Neuromorphic Computing Market Overview
- Market Drivers
- Market Size
- List of Major Companies
- Intel
- IBM
- BrainChip
- Qualcomm
- NVIDIA
- Hewlett-Packard
- Samsung
- Accenture
- Cadence-Design
- Knowm
Neuromorphic Computing Market Overview
Inspired by the brain’s neural networks, Neuromorphic computing revolutionizes computer architecture by emulating biological neurons. Using spiking neurons and synaptic plasticity principles, neuromorphic hardware enables efficient, low-power processing.
This approach finds applications in diverse fields, such as sensor networks for environmental monitoring, robotics for enhanced perception and control, and neuroscience research for studying brain function.
With its potential to deliver highly efficient, brain-like computation, neuromorphic computing holds promise for transforming various industries and advancing our understanding of complex biological systems.
Market Drivers
The global neuromorphic computing market is growing due to several factors. Firstly, various industries have a rising demand for efficient computing solutions.
Neuromorphic architectures, known for their energy efficiency and parallel processing capabilities, are becoming increasingly popular. The emergence of edge computing and IoT devices also drives the need for low-power, high-performance solutions, further boosting the adoption of neuromorphic technologies.
Furthermore, ongoing advancements in hardware and software, coupled with increased investments, are expanding the market. These trends indicate a promising future for the global neuromorphic computing market’s growth.
Market Size
The global neuromorphic computing market reached USD 4.2 billion in 2022 and is projected to reach USD 29.2 billion by 2032
List of Major Companies
These are the top 10 companies operating in the Neuromorphic Computing Market:
Intel
Company Overview
Establishment Year 1968 Headquarter Santa Clara, California, U.S. Key Management Pat Gelsinger (CEO) Revenue (US$ Bn) $ 54.2 Billion (2023) Headcount ~ 124,800 (2023) Website https://www.intel.com/ About Intel Corporation
Intel Corporation leads the way in neuromorphic computing, leveraging its expertise in semiconductor manufacturing and technology innovation.
The groundbreaking neuromorphic research chip Loihi is at the forefront of its efforts, mimicking the human brain’s neural networks for efficient data processing. With robotics, healthcare, and IoT applications, Intel collaborates with research institutions and industry partners to explore innovative uses for neuromorphic computing.
Through ongoing research and development, Intel aims to push the boundaries of computing capabilities, positioning itself as a key player in shaping the future of neuromorphic technologies.
Geographical Presence
Intel Corporation strategically situates itself globally, headquartered in Santa Clara, California. Its primary operations cover North America, including major Oregon, Arizona, and Texas manufacturing sites.
In Europe, Intel maintains hubs in Ireland and Germany, fostering innovation. Expanding into the Asia-Pacific, notable facilities in China and India tap diverse markets and talent.
Operations extend to Japan and other Asia-Pacific nations, driving technological progress. Intel also maintains a presence in Latin America, the Middle East, and Africa, emphasizing its dedication to global innovation and market leadership.
Recent Developments
- In October 2021, Intel unveiled Loihi 2, its latest neuromorphic computing chip, representing a notable progression in the field. Utilizing Intel 4 process technology, Loihi 2 presents improved capabilities for studying advanced neuromorphic neural networks.
- In March 2020, Intel revealed information about Pohoiki Springs, a neuromorphic computing system featuring 100 million artificial neurons for processing tasks.
IBM
Company Overview
Establishment Year 1911 Headquarter Armonk, New York, United States Key Management Arvind Krishna (Chairman & CEO) Revenue (US$ Bn) $ 61.8 B (2022) Headcount ~ 288,300 (2022) Website https://www.ibm.com/ About IBM Corporation
IBM Corporation is a leader in neuromorphic computing, pioneering innovative solutions for various applications. Its TrueNorth architecture is a milestone in this field, offering highly efficient and low-power processing capabilities akin to the human brain.
With applications spanning healthcare, finance, and cybersecurity, IBM collaborates with research institutions and industry partners to explore and develop TrueNorth technology.
Through ongoing research and development efforts, IBM continues to push the boundaries of neuromorphic computing, positioning itself as a driving force in shaping the future of computing architectures.
Geographical Presence
IBM Corporation maintains a global presence with operations spanning across multiple continents. The company’s headquarters are located in Armonk, New York, USA.
IBM has established offices, research facilities, and manufacturing sites in key regions worldwide, including North America, Europe, Asia Pacific, and Latin America. This extensive geographical footprint enables IBM to effectively serve its diverse customer base and collaborate with partners on a global scale.
Additionally, IBM’s presence in various regions facilitates market expansion and supports its commitment to innovation and technology leadership across the globe.
Recent Developments
- In February 2024, Wipro introduced a new solution that harnesses IBM’s WatsonX AI and data platform capabilities to boost AI adoption in enterprises.
- In October 2023, IBM launched its inaugural AI-focused chip, NorthPole, claiming it to be 22 times faster than competitors. The chip aims to surpass current computing performance standards and address the growing demand for AI technologies.
BrainChip
Company Overview
Establishment Year 2004 Headquarter Sydney, NSW, Australia Key Management Sean Hehir (CEO) Revenue (US$ Bn) $ 2.3 Billion (2023) Headcount ~ 70 (2023) Website https://brainchip.com/ About BrainChip Holdings
BrainChip Holdings Ltd. leads neuromorphic computing, specializing in ultra-low-power solutions for various applications. Its flagship product, the Akida Neuromorphic System-On-Chip (NSoC), offers efficient processing capabilities tailored for edge computing and IoT devices.
With applications spanning surveillance, autonomous vehicles, and cybersecurity, BrainChip collaborates with industry partners and research institutions to innovate and develop solutions using the Akida platform.
Through continuous research and development, BrainChip is committed to advancing neuromorphic computing technology to meet the evolving needs of diverse markets.
Geographical Presence
BrainChip Holdings Ltd., a leader in neuromorphic computing solutions, has a solid global presence spanning North America, Europe, and Asia-Pacific.
With a focus on key markets such as the United States, Europe (including the UK, Germany, and France), and Asia-Pacific countries like China, Japan, Australia, and South Korea, BrainChip addresses diverse industry needs in cybersecurity, surveillance, automotive, and IoT.
Through its strategic positioning, BrainChip aims to drive innovation and provide cutting-edge AI technologies worldwide.
Recent Developments
- In December 2023, BrainChip Holdings and Unigen Corporation partnered to offer a new Unigen Cupcake Edge AI Server version, utilizing BrainChip’s Akida neuromorphic processor for enhanced compactness and performance.
- In January 2023, BrainChip Holdings and MYWAI formed a strategic partnership to provide advanced Edge AI solutions using neuromorphic computing.
Qualcomm
Company Overview
Establishment Year 1985 Headquarter San Diego, California, U.S. Key Management Cristiano Amon (CEO) Revenue (US$ Bn) $38.5 Billion (2023) Headcount ~ 50,000 (2023) Website https://www.qualcomm.com/ About Qualcomm Incorporated
Qualcomm Incorporated is pivotal in advancing neuromorphic computing, drawing upon its semiconductor design and mobile technologies expertise.
With its Zeroth platform, Qualcomm offers efficient processing capabilities tailored for various applications, including edge computing and IoT devices. The company collaborates with research institutions and industry partners to explore innovative solutions and drive advancements in the field.
Qualcomm’s commitment to research and development positions it as a leading force in unlocking the potential of neuromorphic computing for diverse industries.
Geographical Presence
Qualcomm, headquartered in San Diego, California, maintains a global presence with operations in key regions worldwide. It focuses on research and development in the US, notably in 5G technology.
Across the Asia-Pacific, including China, South Korea, Japan, India, and Taiwan, Qualcomm has established offices and partnerships to support local collaborations. It engages in research, development, and customer support in Europe, the Middle East, and Africa, particularly in the UK, Germany, and France.
Additionally, Qualcomm has a presence in select Latin American countries, contributing to mobile connectivity adoption. Qualcomm serves global markets through strategic positioning, drives innovation, and maintains semiconductor leadership.
Recent Development
- In October 2023, Qualcomm unveiled Snapdragon Seamless, a cross-platform technology allowing Android, Windows, and Snapdragon devices on different operating systems to seamlessly discover and share information, functioning as a unified system.
- In September 2023, EE revealed its inaugural strategic plan to become the UK’s foremost customer-focused brand for its home broadband service. Teaming up with Qualcomm Technologies, Inc., EE intends to launch new in-home hardware featuring Qualcomm Wi-Fi 7 platforms. This effort seeks to provide superior home connectivity to UK consumers, positioning them as early adopters of next-generation Wi-Fi technology.
NVIDIA
Company Overview
Establishment Year 1993 Headquarter Santa Clara, California, U.S. Key Management Jensen Huang (President and CEO) Revenue (US$ Bn) $60.9 B (2023) Headcount ~ 29,600 (2023) Website http://conservis.ag/ About NVIDIA Corporation
NVIDIA Corporation, a leader in graphics processing units (GPUs) and artificial intelligence (AI) solutions, is advancing neuromorphic computing. Through dedicated research and development, NVIDIA designs specialized hardware architectures and efficient algorithms inspired by the brain’s neural networks.
Its product portfolio, including GPUs and software frameworks like CUDA and TensorRT, supports neuromorphic computing applications in various domains.
Collaborations with industry partners and research institutions further accelerate innovation, positioning NVIDIA at the forefront of the neuromorphic computing revolution.
With its expertise, NVIDIA is poised to reshape AI and computational neuroscience, driving the development of smarter, more efficient systems across industries.
Geographical Presence
NVIDIA Corporation, a global leader in GPUs and AI technology, maintains a significant presence worldwide. In Santa Clara, California, NVIDIA strategically establishes offices, research facilities, and partnerships across North America, Europe, the Middle East, Africa, and Asia-Pacific.
With key locations in major cities like London, Munich, Beijing, and Bangalore, NVIDIA serves its global customer base and collaborates with technology companies and research institutions to drive innovation in AI-driven technologies.
This extensive geographical presence underscores NVIDIA’s commitment to advancing GPU technology and AI solutions globally.
Recent Developments
- In February 2024, AMD introduced a solution utilizing ROCm technology to allow NVIDIA CUDA binaries to run on AMD graphics hardware seamlessly without requiring any modifications.
- In November 2023, NVIDIA introduced CUDA Quantum 0.5, its latest platform tailored for quantum-classical computing application development.
BrainChip
Company Overview
| Establishment Year | 2004 |
| Headquarter | Sydney, NSW, Australia |
| Key Management | Sean Hehir (CEO) |
| Revenue (US$ Bn) | $ 2.3 Billion (2023) |
| Headcount | ~ 70 (2023) |
| Website | https://brainchip.com/ |
The yearly must have been wrong!
Watch out Monday!!
AARONASX
Holding onto what I've got
Good Afternoon all!
If Brainchips New Edge box, which has SoC: NXP i.MX 8M Plus Quad SOC, and has 2xAKD1000 paired with the Arm A53 NXP then I suspect that this will also be sold elsewhere..
- Powerful quad or dual Arm® Cortex®-A53 processor with a Neural Processing Unit (NPU) operating at up to 2.3 TOPS.
So maybe revenue will not only come from to sale of our boxes this quarter, but maybe we'll also see it from the boards sold elsewhere...however there is still no confirmation that this equals that! IMO
If Brainchips New Edge box, which has SoC: NXP i.MX 8M Plus Quad SOC, and has 2xAKD1000 paired with the Arm A53 NXP then I suspect that this will also be sold elsewhere..
DART-MX8M-PLUS : NXP i.MX 8M Plus
- The DART-MX8M-PLUS runs on 1.8GHz Quad Cortex™-A53 NXP i.MX 8M Plus processor with 800MHz Cortex™-M7 Real-time co-processor. It is the first i.MX processor to provide dedicated Artificial Intelligence / Machine Learning (AI/ML) capabilities with integrated Neural Processing Unit (NPU), and an intelligent vision system based on Image Signal Processor (ISP) and camera interfaces.- Powerful quad or dual Arm® Cortex®-A53 processor with a Neural Processing Unit (NPU) operating at up to 2.3 TOPS.
i.MX8M Plus
The i.MX 8M Plus family focuses on machine learning and vision, advanced multimedia, and industrial IoT with high reliability. For Smart Home, City, Retail, Industry 4.0.
www.nxp.com
So maybe revenue will not only come from to sale of our boxes this quarter, but maybe we'll also see it from the boards sold elsewhere...however there is still no confirmation that this equals that! IMO
Attachments
TheFunkMachine
seeds have the potential to become trees.
https://www.tomshardware.com/tech-i...p-claim-625-times-less-power-41-times-smaller
This is quite interesting. I know Samsung has been sniffing around Brainchip at past presentations etc. and Brainchip used a Samsung DVS camera in a demonstration back in 2018/19 ish.
I wonder what this neuromorphic “not off the shelf secret sauce” is that they have used in this test chip?
The second thing that caught my attention is the C transformers talked about. I don’t know what C transformers is exactly, but I think it is safe to say it has something to do with Transformers which is one of the key new features added to the Akida 2.0 architecture based on costumer requests.
@Diogenese can you potentially have a better look at this test chip and see if you can see anything of interest?
This is quite interesting. I know Samsung has been sniffing around Brainchip at past presentations etc. and Brainchip used a Samsung DVS camera in a demonstration back in 2018/19 ish.
I wonder what this neuromorphic “not off the shelf secret sauce” is that they have used in this test chip?
The second thing that caught my attention is the C transformers talked about. I don’t know what C transformers is exactly, but I think it is safe to say it has something to do with Transformers which is one of the key new features added to the Akida 2.0 architecture based on costumer requests.
@Diogenese can you potentially have a better look at this test chip and see if you can see anything of interest?
BrainChip’s Akida™ neuromorphic processor has been integrated into several microcontroller units (MCUs) and embedded systems-on-chip (SoCs). Here are some notable instances:
Probably already been posted, anyway here it is again for what it's worth...Tech.
- SiFive Essential™ Processors with Akida-E:
- These compact processors are suitable for deeply embedded applications. They combine SiFive Essential™ processors with BrainChip’s Akida-E, providing efficient solutions for low-power, small form factor devices at the edge. These MCUs are ideal for applications like audio processing, filtering, denoising for hearing aids, and hearables1.
- SiFive X280 Intelligence™ AI Dataflow Processors with Akida-S:
- For more complex applications such as object detection and robotics, the SiFive X280 Intelligence™ AI Dataflow Processors are tightly integrated with BrainChip’s Akida-S. These processors offer enhanced digital signal processing (DSP) and machine learning (ML) capabilities, making them suitable for a wide range of intelligent edge devices1.
Probably already been posted, anyway here it is again for what it's worth...Tech.
CHIPS
Regular
YAY! We're third on the list!
If we get 10 percent of 29.2 billion, that's 2.92 billion dollars!!!!
View attachment 58809
Top 10 Neuromorphic Computing Companies | Better Output Technology
Tajammul Pangarkar
Updated · Mar 7, 2024
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Table of Contents
- Neuromorphic Computing Market Overview
- Market Drivers
- Market Size
- List of Major Companies
- Intel
- IBM
- BrainChip
- Qualcomm
- NVIDIA
- Hewlett-Packard
- Samsung
- Accenture
- Cadence-Design
- Knowm
Neuromorphic Computing Market Overview
Inspired by the brain’s neural networks, Neuromorphic computing revolutionizes computer architecture by emulating biological neurons. Using spiking neurons and synaptic plasticity principles, neuromorphic hardware enables efficient, low-power processing.
This approach finds applications in diverse fields, such as sensor networks for environmental monitoring, robotics for enhanced perception and control, and neuroscience research for studying brain function.
With its potential to deliver highly efficient, brain-like computation, neuromorphic computing holds promise for transforming various industries and advancing our understanding of complex biological systems.
Market Drivers
The global neuromorphic computing market is growing due to several factors. Firstly, various industries have a rising demand for efficient computing solutions.
Neuromorphic architectures, known for their energy efficiency and parallel processing capabilities, are becoming increasingly popular. The emergence of edge computing and IoT devices also drives the need for low-power, high-performance solutions, further boosting the adoption of neuromorphic technologies.
Furthermore, ongoing advancements in hardware and software, coupled with increased investments, are expanding the market. These trends indicate a promising future for the global neuromorphic computing market’s growth.
Market Size
The global neuromorphic computing market reached USD 4.2 billion in 2022 and is projected to reach USD 29.2 billion by 2032
List of Major Companies
These are the top 10 companies operating in the Neuromorphic Computing Market:
Intel
Company Overview
Establishment Year 1968 Headquarter Santa Clara, California, U.S. Key Management Pat Gelsinger (CEO) Revenue (US$ Bn) $ 54.2 Billion (2023) Headcount ~ 124,800 (2023) Website https://www.intel.com/ About Intel Corporation
Intel Corporation leads the way in neuromorphic computing, leveraging its expertise in semiconductor manufacturing and technology innovation.
The groundbreaking neuromorphic research chip Loihi is at the forefront of its efforts, mimicking the human brain’s neural networks for efficient data processing. With robotics, healthcare, and IoT applications, Intel collaborates with research institutions and industry partners to explore innovative uses for neuromorphic computing.
Through ongoing research and development, Intel aims to push the boundaries of computing capabilities, positioning itself as a key player in shaping the future of neuromorphic technologies.
Geographical Presence
Intel Corporation strategically situates itself globally, headquartered in Santa Clara, California. Its primary operations cover North America, including major Oregon, Arizona, and Texas manufacturing sites.
In Europe, Intel maintains hubs in Ireland and Germany, fostering innovation. Expanding into the Asia-Pacific, notable facilities in China and India tap diverse markets and talent.
Operations extend to Japan and other Asia-Pacific nations, driving technological progress. Intel also maintains a presence in Latin America, the Middle East, and Africa, emphasizing its dedication to global innovation and market leadership.
Recent Developments
- In October 2021, Intel unveiled Loihi 2, its latest neuromorphic computing chip, representing a notable progression in the field. Utilizing Intel 4 process technology, Loihi 2 presents improved capabilities for studying advanced neuromorphic neural networks.
- In March 2020, Intel revealed information about Pohoiki Springs, a neuromorphic computing system featuring 100 million artificial neurons for processing tasks.
IBM
Company Overview
Establishment Year 1911 Headquarter Armonk, New York, United States Key Management Arvind Krishna (Chairman & CEO) Revenue (US$ Bn) $ 61.8 B (2022) Headcount ~ 288,300 (2022) Website https://www.ibm.com/ About IBM Corporation
IBM Corporation is a leader in neuromorphic computing, pioneering innovative solutions for various applications. Its TrueNorth architecture is a milestone in this field, offering highly efficient and low-power processing capabilities akin to the human brain.
With applications spanning healthcare, finance, and cybersecurity, IBM collaborates with research institutions and industry partners to explore and develop TrueNorth technology.
Through ongoing research and development efforts, IBM continues to push the boundaries of neuromorphic computing, positioning itself as a driving force in shaping the future of computing architectures.
Geographical Presence
IBM Corporation maintains a global presence with operations spanning across multiple continents. The company’s headquarters are located in Armonk, New York, USA.
IBM has established offices, research facilities, and manufacturing sites in key regions worldwide, including North America, Europe, Asia Pacific, and Latin America. This extensive geographical footprint enables IBM to effectively serve its diverse customer base and collaborate with partners on a global scale.
Additionally, IBM’s presence in various regions facilitates market expansion and supports its commitment to innovation and technology leadership across the globe.
Recent Developments
- In February 2024, Wipro introduced a new solution that harnesses IBM’s WatsonX AI and data platform capabilities to boost AI adoption in enterprises.
- In October 2023, IBM launched its inaugural AI-focused chip, NorthPole, claiming it to be 22 times faster than competitors. The chip aims to surpass current computing performance standards and address the growing demand for AI technologies.
BrainChip
Company Overview
Establishment Year 2004 Headquarter Sydney, NSW, Australia Key Management Sean Hehir (CEO) Revenue (US$ Bn) $ 2.3 Billion (2023) Headcount ~ 70 (2023) Website https://brainchip.com/ About BrainChip Holdings
BrainChip Holdings Ltd. leads neuromorphic computing, specializing in ultra-low-power solutions for various applications. Its flagship product, the Akida Neuromorphic System-On-Chip (NSoC), offers efficient processing capabilities tailored for edge computing and IoT devices.
With applications spanning surveillance, autonomous vehicles, and cybersecurity, BrainChip collaborates with industry partners and research institutions to innovate and develop solutions using the Akida platform.
Through continuous research and development, BrainChip is committed to advancing neuromorphic computing technology to meet the evolving needs of diverse markets.
Geographical Presence
BrainChip Holdings Ltd., a leader in neuromorphic computing solutions, has a solid global presence spanning North America, Europe, and Asia-Pacific.
With a focus on key markets such as the United States, Europe (including the UK, Germany, and France), and Asia-Pacific countries like China, Japan, Australia, and South Korea, BrainChip addresses diverse industry needs in cybersecurity, surveillance, automotive, and IoT.
Through its strategic positioning, BrainChip aims to drive innovation and provide cutting-edge AI technologies worldwide.
Recent Developments
- In December 2023, BrainChip Holdings and Unigen Corporation partnered to offer a new Unigen Cupcake Edge AI Server version, utilizing BrainChip’s Akida neuromorphic processor for enhanced compactness and performance.
- In January 2023, BrainChip Holdings and MYWAI formed a strategic partnership to provide advanced Edge AI solutions using neuromorphic computing.
Qualcomm
Company Overview
Establishment Year 1985 Headquarter San Diego, California, U.S. Key Management Cristiano Amon (CEO) Revenue (US$ Bn) $38.5 Billion (2023) Headcount ~ 50,000 (2023) Website https://www.qualcomm.com/ About Qualcomm Incorporated
Qualcomm Incorporated is pivotal in advancing neuromorphic computing, drawing upon its semiconductor design and mobile technologies expertise.
With its Zeroth platform, Qualcomm offers efficient processing capabilities tailored for various applications, including edge computing and IoT devices. The company collaborates with research institutions and industry partners to explore innovative solutions and drive advancements in the field.
Qualcomm’s commitment to research and development positions it as a leading force in unlocking the potential of neuromorphic computing for diverse industries.
Geographical Presence
Qualcomm, headquartered in San Diego, California, maintains a global presence with operations in key regions worldwide. It focuses on research and development in the US, notably in 5G technology.
Across the Asia-Pacific, including China, South Korea, Japan, India, and Taiwan, Qualcomm has established offices and partnerships to support local collaborations. It engages in research, development, and customer support in Europe, the Middle East, and Africa, particularly in the UK, Germany, and France.
Additionally, Qualcomm has a presence in select Latin American countries, contributing to mobile connectivity adoption. Qualcomm serves global markets through strategic positioning, drives innovation, and maintains semiconductor leadership.
Recent Development
- In October 2023, Qualcomm unveiled Snapdragon Seamless, a cross-platform technology allowing Android, Windows, and Snapdragon devices on different operating systems to seamlessly discover and share information, functioning as a unified system.
- In September 2023, EE revealed its inaugural strategic plan to become the UK’s foremost customer-focused brand for its home broadband service. Teaming up with Qualcomm Technologies, Inc., EE intends to launch new in-home hardware featuring Qualcomm Wi-Fi 7 platforms. This effort seeks to provide superior home connectivity to UK consumers, positioning them as early adopters of next-generation Wi-Fi technology.
NVIDIA
Company Overview
Establishment Year 1993 Headquarter Santa Clara, California, U.S. Key Management Jensen Huang (President and CEO) Revenue (US$ Bn) $60.9 B (2023) Headcount ~ 29,600 (2023) Website http://conservis.ag/ About NVIDIA Corporation
NVIDIA Corporation, a leader in graphics processing units (GPUs) and artificial intelligence (AI) solutions, is advancing neuromorphic computing. Through dedicated research and development, NVIDIA designs specialized hardware architectures and efficient algorithms inspired by the brain’s neural networks.
Its product portfolio, including GPUs and software frameworks like CUDA and TensorRT, supports neuromorphic computing applications in various domains.
Collaborations with industry partners and research institutions further accelerate innovation, positioning NVIDIA at the forefront of the neuromorphic computing revolution.
With its expertise, NVIDIA is poised to reshape AI and computational neuroscience, driving the development of smarter, more efficient systems across industries.
Geographical Presence
NVIDIA Corporation, a global leader in GPUs and AI technology, maintains a significant presence worldwide. In Santa Clara, California, NVIDIA strategically establishes offices, research facilities, and partnerships across North America, Europe, the Middle East, Africa, and Asia-Pacific.
With key locations in major cities like London, Munich, Beijing, and Bangalore, NVIDIA serves its global customer base and collaborates with technology companies and research institutions to drive innovation in AI-driven technologies.
This extensive geographical presence underscores NVIDIA’s commitment to advancing GPU technology and AI solutions globally.
Recent Developments
- In February 2024, AMD introduced a solution utilizing ROCm technology to allow NVIDIA CUDA binaries to run on AMD graphics hardware seamlessly without requiring any modifications.
- In November 2023, NVIDIA introduced CUDA Quantum 0.5, its latest platform tailored for quantum-classical computing application development.
Strange order
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CHIPS
Regular
Neuromorphic Chips: in Electrical Engineering
Neuromorphic Chips: Next Frontier in Electrical Engineering: In the ever-evolving landscape of electrical engineering, one frontier stands out as part
Long general article about neuromorphic chips that could not be copied, or at least I could not, but with two nice pictures of BrainChip/Akida.
BrainChip or Akida is not mentioned in the text though.
You know you made it when people show BrainChip when talking about neuromorphic chips. It is like TEMPO for a tissue (in Germany) or Kleenex for kitchen paper.
The system features USB 3.0 and micro-USB ports, HDMI, 4GB LPDDR4 memory, 32GB eMMC with up to 1TB micro-SDXC expansion, dual-band Wi-Fi, and two gigabit Ethernet ports for external camera connections, all within a compact, passively-cooled chassis, powered by 12V DC .
Hi Tfm,
To quote Dirty Harry: "I'm sorta wondering myself ..."
I've posted about KAIST a couple of times in the last week or so:
From the Tom's hardware article:
Korean researchers power-shame Nvidia with new neural AI chip — claim 625 times less power draw, 41 times smaller | Tom's Hardware (tomshardware.com)
Korean researchers power-shame Nvidia with new neural AI chip — claim 625 times less power draw, 41 times smaller
Claim Samsung-fabbed chip is the first ultra-low power LLM processor.
A team of scientists from the Korea Advanced Institute of Science and Technology (KAIST) detailed their 'Complementary-Transformer' AI chip during the recent 2024 International Solid-State Circuits Conference (ISSCC). The new C-Transformer chip is claimed to be the world's first ultra-low power AI accelerator chip capable of large language model (LLM) processing.
...
The architecture of the C-Transformer chip is interesting to look at and is characterized by three main functional feature blocks. Firstly, there is a Homogeneous DNN-Transformer / Spiking-transformer Core (HDSC) with a Hybrid Multiplication-Accumulation Unit (HMAU) to efficiently process the dynamically changing distribution energy. Secondly, we have an Output Spike Speculation Unit (OSSU) to reduce the latency and computations of spike domain processing. Thirdly, the researchers implemented an Implicit Weight Generation Unit (IWGU) with Extended Sign Compression (ESC) to reduce External Memory Access (EMA) energy consumption.
I haven't found the KAIST C-transformer patent, so it may still be under wraps. Consequently, I can't find any detail of the C-Transformer.
A couple of their earlier patent applications:
US2023098672A1 ENERGY-EFFICIENT RETRAINING METHOD OF GENERATIVE NEURAL NETWORK FOR DOMAIN-SPECIFIC OPTIMIZATION 20210924
YOO HOI JUN [KR]; KIM SO YEON [KR]
The main claim relates to retaining a generative NN:
1 . An energy-efficient retraining method of a generative neural network for domain-specific optimization, the energy-efficient retraining method comprising:
(a) retraining, by a mobile device, a pretrained generative neural network model with respect to some data of a new user dataset;
(b) comparing, by the mobile device, the pretrained generative neural network model and a generative neural network model retrained for each layer with each other in terms of a relative change rate of weights;
(c) selecting, by the mobile device, specific layers having high relative change rate of weights, among layers of the pretrained generative neural network model, as layers to be retrained; and
(d) performing, by the mobile device, weight update for only the layers selected in step (c).
Claim 4 sheds a bit of light on what may be part of the combined DNN-CNN in that it does forward propagation learning, a technique Akida uses (SNN), and subsequently does back propagation (DNN)
4 . The energy-efficient retraining method according to claim 3, wherein, in step (d), the mobile device maintains original weights without weight update for unselected layers, after selecting the k continuous layers, does not perform even back propagation for unselected layers before a first one of the selected layers, performs forward propagation in only a first epoch of retraining, and reuses a result of the forward propagation of the first epoch in repeated retraining epochs thereafter.
This one is about DNN learning:
US2023072432A1 APPARATUS AND METHOD FOR ACCELERATING DEEP NEURAL NETWORK LEARNING FOR DEEP REINFORCEMENT LEARNING 20210831
a deep neural network (DNN) learning accelerating apparatus for deep reinforcement learning, the apparatus including: a DNN operation core configured to perform DNN learning for the deep reinforcement learning; and a weight training unit configured to train a weight parameter to accelerate the DNN learning and transmit it to the DNN operation core, the weight training unit including: a neural network weight memory storing the weight parameter; a neural network pruning unit configured to store a sparse weight pattern generated as a result of performing the weight pruning based on the weight parameter; and a weight prefetcher configured to select/align only pieces of weight data of which values are not zero (0) from the neural network weight memory using the sparse weight pattern and transmit the pieces of weight data of which the values are not zero to the DNN operation core.
Interestingly, KAIST have also been working on MRAM, which could be used in an analog NN:
US2023410864A1 MRAM CELL WITH PAIR OF MAGNETIC TUNNEL JUNCTIONS HAVING OPPOSITE STATES AND MEMORY DEVICE USING THE SAME 20220620
An MRAM cell includes a switch unit configured to determine opening and closing thereof by a word line voltage and to activate a current path between a bit line and a bit line bar in an opened state thereof, first and second MTJs having opposite states, respectively, and connected in series between the bit line and the bit line bar, to constitute a storage node, and a sensing line configured to be activated in a reading mode of the MRAM cell, thereby creating data reading information based on a voltage between the first and second MTJs, wherein the first and second MTJs have different ones of a low resistance state and a high resistance state, respectively, in accordance with a voltage drop direction between the bit line and the bit line bar, thereby storing data of 0 or 1.
All this is no doubt funded by the Korean government who recently announced they were pulling out all the stops to catch up on AI, so perhaps the KAIST hubris is intended to impress their paymasters.
ChatGPT2 is orders of magnitude smaller than ChatGPT3, and nothing like GPT4 and subsequent versions.
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Stable Genius
Regular
Hi @TECH those quotes make great reading. They are written in the past tense as though they have integrated the tech and SiFive has SOC on the market? The links go back to Brainchip’s web page. Is this info something new I’ve missed.
I appreciate SFive were part of the Gen2 promotional material but didn’t realise it had progressed to products.
Did you have more info as this is huge and I suggest ASX announcement worthy?
Hi Tech,
Just as I was getting dressed for a formal dinner, that blew me sox off - took the thongs as well.
Akida in silicon with SiFive is big news. Confirmation that Akida has been integrated into SiFive processors is big news. SiFive are into RISC-V, while ARM use RISC-IV.
... or am I reading too much into this. Is it just simulator compatibility.
The SiFive testimonial for Akida 2 reads as though this is a work-in-progress:
"Through our collaboration with BrainChip, we are enabling the combination of SiFive’s RISC-V processor IP portfolio and BrainChip’s 2nd generation Akida neuromorophic IP to provide a power-efficient, high capability solution for AI processing on the Edge. Deeply embedded applications can benefit from the combination of compact SiFive Essential™ processors with BrainChip’s Akida-E, efficient processors; more complex applications including object detection, robotics, and more can take advantage of SiFive X280 Intelligence™ AI Dataflow Processors tightly integrated with BrainChip’s Akida-S or Akida-P neural processors."
In either case, it's great news that the RISC-V ingénue SiFive can co-promote Akida, as they are very well known in the processor world, maybe almost as well known as Brainchip.
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