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.
Hi Tech,
I laughed so hard picturing those thongs getting blown off. Seriously funny.
Link please….
Evening Bravo ,YAY! We're third on the list!
If we get 10 percent of 29.2 billion, that's 2.92 billion dollars!!!!
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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.
Further to the Ericsson post above.Might help @McHale
Was a Christmas present
BRN Discussion Ongoing
Merry Christmas, happy holidays all Be safe and enjoy the time with loved ones, friends, fam and doing what makes you happy however you celebrate this time. Oct French article on the X320 I needed to work around through VPN, private tab etc to get to read with an English translation. Didn't...thestockexchange.com.au
However, in a Secret Santa, some more interesting news / developments
According to a paper just released a couple of days ago (not peer reviewed as yet) it appears some Snr Researchers over at Ericsson have been playing with Akida and "for instance, to demonstrate the feasibility of AI-enabled ZE-IoT, we have developed a prototype of a solar-powered AI-enabled ZE-IoT camera device with neuromorphic computing."
My question would be is this something off their own back or do we have a hand in the background somewhere as well
Towards 6G Zero-Energy Internet of Things:
Standards, Trends, and Recent Results
- December 2023
https://www.researchgate.net/public...of_Things_Standards_Trends_and_Recent_Results
I particularly like this paragraph: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. (
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. (
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
artificial intelligence
computer vision
Gareth HalfacreeFollow
Freelance journalist, technical author, hacker, tinkerer, erstwhile sysadmin. For hire: freelance@halfacree.co.uk.
newsroom.st.com
www.australianmining.com.au
).)
Hi DingoBorat,
although Mercedes Benz’s tribute to International Women’s Day on March 8th may have come across as a little awkward, I don’t think they meant to sound condescending at all.
As for “one of our female engineers”: in German, we can simply add the suffix -in to many professions in order to express that a person is a female, similar to the much rarer English suffix -ess as in seamstress, waitress, stewardess or Empress.
So the technically male form Ingenieur (engineer) becomes Ingenieurin, Informatiker (computer scientist) becomes Informatikerin, Pilot (you guessed it - pilot) becomes Pilotin, Arzt (medical doctor) becomes Ärztin (some cases like this one involve a vowel change as well), you name it…
(I will just mention the current heated debate about gender-neutral language in German as a side note - personally, I habitually list both genders when talking about a mixed group of male and female persons such as “Lehrerinnen und Lehrer” (teachers), whereas other people consider the male plural to be inclusive enough. Since the 1980s, new forms have emerged such as Lehrer/innen, Lehrer_innen or LehrerInnen to encompass both male and female forms in writing and even more recently also Lehrer*innen (which is pronounced with a so-called glottal stop, that sounds like the tiny gap in uh-oh) to refer to all genders, including people who identify as non-binary etc. This has led to very heated debates in recent years about the use of gender-neutral language when talking about people. Note that this does not concern the three grammatical genders of German nouns in general, though, so no relief here for beginning learners of German
So when the Mercedes press department wants to refer to women in engineering in German-language publications, they will use exclusively feminine nouns such as Ingenieurin (singular) or Ingenieurinnen (plural), which do not have an equivalent in English, though. That’s why in this English-language post, the author felt the need to add the adjective “female”, which, however, seems to reinforce the stereotype that engineers are normally male and the female ones are the exotic and thus odd ones out. While the male-female ratio amongst automotive engineers admittedly happens to be pretty lopsided, the German nouns Ingenieur/Ingenieurin are more neutral in that respect (even though one could argue that even from a grammatical point of view, the male form is the norm, and the female form is marked as different).
Unfortunately that doesn’t equate to greater gender equality in German-speaking countries, though: women in male-dominated fields sadly still get belittled by some ignorant people, even though they have the exact same degree, and there is also the gender pay gap problem in general - so, much to be desired! In fact, some women even prefer to refer to themselves as “Ingenieur” rather than “Ingenieurin”, because they feel that this way others will respect them more, although to me personally it sounds very odd.
Anyway, back to the original post and the lady in the driver’s seat: the ADAS development engineer’s name is Katharina Kupferschmid (check out Markus Schäfer’s LinkedIn comment). She has been with Mercedes for almost 20 years, and I bet she was not just posing for that picture in Saudi Arabia, merely pretending to drive, but was absolutely and confidently test driving the EQXX Vision herself.
View attachment 58836
View attachment 58829
What makes me so sure about that? Well, Mercedes not only seems to have trusted her not to crash their precious concept car, but had even handpicked her to chauffeur German Chancellor Olaf Scholz around a 2.8 km test track in an EQE SUV, when he visited the Sindelfingen Mercedes plant on March 4. However, according to German news reports and Scholz’s social media accounts (where he also mentions discussing the importance of AI with Mercedes staff, by the way), the Chancellor actually asked to sit behind the steering wheel himself, telling his three passengers (including Mercedes CEO Ola Källenius, who sat in the back seat) he would really enjoy doing so, because he rarely gets to drive himself any more these days, as he is usually being chauffeured in his armoured official state car (which happens to be a Mercedes, too - a Mercedes S 680 Guard, to be precise). And you know what they say: When You Wish Upon A Mercedes Star, Your Dreams Come True…
(Photos of the Chancellor in the driver‘s seat of course led to a flurry of sarcastic comments by posters critical of his government coalition’s politics, but I suppose there would have been just as many taunting comments had he been caught in the passenger seat, being chauffeured by a female driver…
See Katharina Kupferschmid’s activity on LinkedIn
Sign in or join now to see posts like this one and more.www.linkedin.com
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While I believe that Mercedes are genuinely proud of their female staff and I appreciate them shining the light on women that can inspire others around the world to take the steering wheel of life into their own hands, the photos taken in Saudi Arabia and the accompanying text seem to ignore the fact that women there still do not enjoy equal rights compared to men and have only been allowed to drive a car since 2018! (It’s hard to imagine this official Mercedes LinkedIn post could intentionally be taking a dig at the Saudi government, although I would love to read that between the lines).
IMO Mercedes did a better job in 2019, when they honoured International Women’s Day with a short film on Bertha Benz (1849-1944), the automotive pioneer, business partner and wife of Carl Benz. Not many people seem to be aware that she was instrumental in the foundation of Mercedes-Benz. The 4 min short film Bertha Benz - The Journey That Changed Everything, shot like a classic Western, tells the story of the world’s first long distance drive in a car from Mannheim to Pforzheim (106 km) in 1888. The only gripe I have about it is that they shot the film in English rather than German, which is totally unauthentic. Why?! They could have easily subtitled it for an international audience… Anyway, I thought it was worth watching.
You can also find a an excellent summary of that legendary trip on Wikipedia:
Bertha Benz - Wikipedia
en.m.wikipedia.org
Just asking for a friend
Wonder who in London is playing with or wants to play with Akida Gen 2....hmmmm
Machine Learning Engineer - Neuromorphic Computing (Akida 2) - London
Posted 3 weeks ago
U.K. located freelancers only
We are at the forefront of advancing neuromorphic computing technology. We are dedicated to developing cutting-edge solutions that transform how machines learn and interact with the world. Our team is growing, and we are seeking a talented Machine Learning Engineer to join our London office, focusing on developing applications using the Akida 2 neuromorphic computing platform.
Job Description:
As a Machine Learning Engineer, you will play a crucial role in our dynamic team, focusing on the development and implementation of machine learning algorithms tailored for the Akida 2 neuromorphic computing platform. Your expertise will contribute to optimizing AI models for energy efficiency and performance, aligning with the unique capabilities of neuromorphic computing.
Key Responsibilities:
Develop and optimize machine learning models for the Akida 2 platform.
Collaborate with cross-functional teams to integrate AI solutions into products.
Conduct research and stay updated with the latest trends in neuromorphic computing.
Provide technical guidance and mentorship to junior team members.
Participate in code reviews and maintain high standards in development practices.
Qualifications:
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.
Proven experience in machine learning and neural network development.
Familiarity with neuromorphic computing, particularly Akida 2, is highly desirable.
Strong programming skills in Python and experience with machine learning frameworks.
Excellent problem-solving abilities and a collaborative team player.
Strong communication skills, both written and verbal.
What We Offer:
Competitive salary and benefits package.
Opportunity to work on groundbreaking technology in a fast-paced environment.
Professional development opportunities and a collaborative team culture.
Central London location with modern office facilities.
Application Process:
To apply, please submit your CV and a cover letter outlining your suitability for the role. Shortlisted candidates will be invited for an interview process, which may include technical assessments.
We are an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Join us in shaping the future of AI and neuromorphic computing. Apply today!
grayscale.ai
