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Revolutionizing Vision: Neuromorphic Imaging Transforms Speed, Efficiency, and Precision​

Event-based imaging detects changes in light brightness with ultra-fast, independent pixels in microseconds.​

Shawn Wright
09 2024 | 15:39 Clock
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Imagine a super-fast camera that continuously captures images from pixels and detects only changes in light brightness. Each pixel works independently and constantly, with microsecond detection. This is the basis for event-based or neuromorphic imaging.
A 2022 McKinsey report identified neuromorphic computing as one of the top ten technology trends with the potential to reshape several markets and industries in the coming decades.

Rapidly capturing change​

In event-based imaging, each pixel on the sensor has a set threshold, and when that threshold is exceeded, the pixel activates, capturing only what has changed from the previous threshold. This approach transmits only relevant data, rather than an entire image, creating an “extreme region of interest” that reduces computing time and processing resources.
Since only the pixels detecting movement are activated, the resulting image has minimal latency due to the small amount of data being updated. Additionally, less power is required to capture the smaller image.

Dynamic range redefined

Another advantage of neuromorphic pixels is their capability to capture more than 120 dB of dynamic range.
Sensors based on these pixels, like a human retina, can locally adapt to vast changes in brightness, detect edges, signal temporal changes, and sense motion. Their photoreceptors continuously monitor intensity and adjust to the local image over time and space, maximizing dynamic range.
Caltech, MIT, and John Hopkins have been researching this topic since the 1990s. This work, spurred by Northrup Grumman, Rockwell International, and DARPA, evolved under the leadership of researcher Christof Koch.
Christof Koch was a leading professor of computation and neural systems at Caltech, and he was recognized for his work on neuromorphic systems. He later became president of the Allen Institute for Brain Science.

Diverse applications of neuromorphic imaging

Applications run the gamut:
  • Autos: ADAS and cabin monitoring
  • Medical: Fluidics and cell tracking
  • Sports: Player tracking, swing analysis
  • Defense: Rocket, bullet, and bomb analysis
  • Industrial: High-speed counting and vibration analysis

Combining event-based and color sensors

New camera systems can integrate event-based sensors with traditional color sensors to produce images that are both more accurate and visually appealing. By combining these technologies, the resulting images can be fast and precise.
Industrial applications are plentiful due to their speed and low data requirements.
Currently, Sony has partnered with Prophesse, a French company that has commercialized neuromorphic sensors for integration with existing camera modules. According to Prophesse, its sensors produce up to 1000 times less data than a conventional sensor while achieving a higher equivalent temporal resolution of more than 10,000 frames per second.
Based in Zurich, iniVation is a Swiss company also pioneering the field with its Aeveon sensors, which feature 346 x 260 pixels.
 
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Tothemoon24

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Perhaps theses 2 maybe getting together to mix some of the special sauce


SEMIFIVE Joins Forces with Japan’s Semiconductor Industry through MOU with MegaChips​

November 5, 2024 -- SEMIFIVE, a leading design solution provider and pioneer of platform-based custom silicon solutions, announced its agreement of MOU with Japan-based MegaChips on October 10, 2024. SEMIFIVE and MegaChips will collaborate on comprehensive semiconductor design, seeking potential customers in Japan, and offering onsite technical support.
“MegaChips has consistently demonstrated remarkable innovation and technical excellence in the semiconductor field,” said Brandon Cho, CEO and co-founder of SEMIFIVE. “We are thrilled to partner with such a forward-thinking company, and we are confident that SEMIFIVE’s platform can complement their strengths, contributing meaningfully to the cutting-edge advancements that lie ahead. We look forward to collaborating closely as we push the boundaries of technology together.”
MegaChips was founded in 1990 as Japan’s pioneering fabless manufacturer of system LSI semiconductors. The company provides strategic solutions with its ASIC full turn-key services, Application-Specific Standard Product (ASSP), and module. While satisfying customer needs with unique core technology, MegaChips also provides safe and reliable products with high quality through its advanced development capability and technology.
SEMIFIVE, a company specializing in SoC platform and ASIC design solutions, has been expanding its roadmap in response to the increasing demand for AI custom silicon. The company has committed its expertise, knowledge, and resources to the development of advanced SoC design platforms specifically for AI chips. To date, SEMIFIVE has developed three SoC design platforms and has successfully completed more than seven large-scale AI semiconductor projects utilizing these platforms. SEMIFIVE has been consistently expanding its global business with the establishment of a San Jose, USA office in March 2021 and a Shanghai, China office in August 2023.
“MegaChips has consistently demonstrated remarkable innovation and technical excellence in the semiconductor field,” said Brandon Cho, CEO and co-founder of SEMIFIVE. “We are thrilled to partner with such a forward-thinking company, and we are confident that SEMIFIVE’s platform can complement their strengths, contributing meaningfully to the cutting-edge advancements that lie ahead. We look forward to collaborating closely as we push the boundaries of technology together.”
About SEMIFIVE
SEMIFIVE
is the pioneer of platform-based SoC design, working with customers to implement innovative ideas into custom silicon in the most efficient way. Our SoC platforms offer a powerful springboard for new chip designs, and leverage configurable domain-specific architectures and pre-validated key IP pools. We offer comprehensive spec-to-system capabilities with end-to-end solutions so that custom SoCs can be realized faster, with reduced cost and risks for key applications such as data center or AI-enabled IoT. With a strong partnership with Samsung Foundry as a leading SAFETM DSP partner, as well as the larger ecosystem, SEMIFIVE provides a one-stop shop solution for any SoC design needs.
 
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TheDrooben

Pretty Pretty Pretty Pretty Good
Now I am concerned this is another pump n dump.🤣
The sustained buying after another predominantly agreed pretty shite quarterly has Larry thinking this is more than just a pump and dump........Larry thinks there is something coming in the next week or two which will take us past the 50c mark.......in Larry's opinion


larry-david-there-you-go-h0zxfylsraqh2qmx.gif


HAPPY AS LARRY
 
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miaeffect

Oat latte lover
Did Chris Jones quit?
Screenshot_20241110-000340_LinkedIn.jpg

Job ad
Screenshot_20241110-000250_LinkedIn.jpg
 
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Diogenese

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Braintonic

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The sustained buying after another predominantly agreed pretty shite quarterly has Larry thinking this is more than just a pump and dump........Larry thinks there is something coming in the next week or two which will take us past the 50c mark.......in Larry's opinion


View attachment 72639

HAPPY AS LARRY
I'd agree with you Droob.
I am normally not afraid to sell all my shares as I think the share price will tank after a quarterly with f all in it. I watch the volume traded regularly as well as the buyers verses selling ratio trying to predict when to buy back in or sell.
Risky, amateurish? Yes but I've done alright out of it in the past.
Over the last few months and especially this quarterly its been different.
Happy with Sean's interview with SDU and his mention of some news before the end of year (could be just another granted patent?) but still well aware there is a long way to go
 
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CHIPS

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Braintonic

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I'd agree with you Droob.
I am normally not afraid to sell all my shares as I think the share price will tank after a quarterly with f all in it. I watch the volume traded regularly as well as the buyers verses selling ratio trying to predict when to buy back in or sell.
Risky, amateurish? Yes but I've done alright out of it in the past.
Over the last few months and especially this quarterly its been different.
Happy with Sean's interview with SDU and his mention of some news before the end of year (could be just another granted patent?) but still well aware there is a long way to go
Fwiw which isn't much I am in at the moment and buying more but that could all change by next week. 😉
 
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The sustained buying after another predominantly agreed pretty shite quarterly has Larry thinking this is more than just a pump and dump........Larry thinks there is something coming in the next week or two which will take us past the 50c mark.......in Larry's opinion


View attachment 72639

HAPPY AS LARRY
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Neuromorphic Computing Market worth $1,325.2 Million by 2030, at a CAGR of 89.7%​

08-11-2024 07:48 PM CET

Press release from: ABNewswire

Neuromorphic Computing Market
Neuromorphic Computing Market

The global Neuromorphic Computing Market in terms of revenue is estimated to be worth $28.5 million in 2024 and is poised to reach $1,325.2 million by 2030, growing at a CAGR of 89.7% during the forecast period.
According to a research report "Neuromorphic Computing Market [https://www.marketsandmarkets.com/M...idPR&utm_campaign=neuromorphiccomputingmarket] by Offering (Processor, Sensor, Memory, Software), Deployment (Edge, Cloud), Application (Image & Video Processing, Natural Language Processing (NLP), Sensor Fusion, Reinforcement Learning) - Global Forecast to 2030" The neuromorphic computing industry is expected to grow from USD 28.5 million in 2024 and is estimated to reach USD 1,325.2 million by 2030; it is expected to grow at a Compound Annual Growth Rate (CAGR) of 89.7% from 2024 to 2030.

Growth in the neuromorphic computing industry is driven through the integration of neuromorphic computing in automotive and space operations. In space, where bandwidth is limited and the communication delay might be considered large, onboard processing capabilities are crucial. The neuromorphic processor analyzes and filters data at the point of collection, reducing the need to transmit large datasets back to Earth. whereas, in automobile sector, neuromorphic processors can make autonomous driving systems more responsive by onboard real-time processing with minimal latency so that safety is ensured along with efficiency.

Download PDF Brochure @ [https://www.marketsandmarkets.com/r...idPR&utm_campaign=neuromorphiccomputingmarket]

Browse 167 market data Tables and 69 Figures spread through 255 Pages and in-depth TOC on "Neuromorphic Computing Market"

View detailed Table of Content here -https://www.marketsandmarkets.com/Market-Reports/neuromorphic-chip-market-227703024.html [https://www.marketsandmarkets.com/M...idPR&utm_campaign=neuromorphiccomputingmarket]

[https://www.marketsandmarkets.com/M...idPR&utm_campaign=neuromorphiccomputingmarket]

By Offering, software segment is projected to grow at a high CAGR of neuromorphic computing industry during the forecast period.

The software segment is expected to grow at a fast rate in the forecasted period. Neuromorphic software has its roots in models of neural systems. Such systems entail spiking neural networks (SNNs), that attempt to replicate the properties of biological neurons in terms of their firing patterns. In contrast to the typical artificial neural networks using continuous activation functions, SNNs utilize discrete spikes for communication, a feature that is also found in the brain. With intelligence embedded directly into the edge devices and IoT sensors, the potential for neuromorphic systems to perform even the most complex tasks such as pattern recognition and adaptive learning with considerably less power consumption remains. This efficiency stretches the lifetime of device operations while cutting down on the overall energy footprint, thus spurring demand for neuromorphic software that can harness these benefits and optimize performance for real-world edge and IoT applications.

By deployment, cloud segment will account for the highest CAGR during the forecast period.

Cloud segment will account for the high CAGR in the forecasted period. Cloud computing benefits from offering central processing power, which enables large-scale computational resources and storage capacities accessible from remote data centers. This is useful because neuromorphic computing, has been very often associated with complex algorithms and large-scale data processing. In the cloud, such huge resources can be utilized to train neuromorphic models, run large-scale simulations, and process enormous datasets. The scalable infrastructure of cloud platforms allows neuromorphic computing applications to dynamically adjust resources according to demand. It is a key factor for the training and deployment of high-scale neuromorphic networks, as their computation requirements are considerable especially during peak loads, driving its demand in the market.

Natural language processing (NLP) segment is projected to grow at a high CAGR of neuromorphic computing industry during the forecast period.

Natural Language Processing (NLP) is a branch of artificial intelligence focused on giving computers the ability to understand text and spoken words in much the same way human beings can. NLP represents a promising application of neuromorphic computing, leveraging the brain- inspired design of spiking neural networks (SNNs) to enhance the efficiency and accuracy of language data processing. Low-power, high-performance solutions are required by the expanding demand for real-time efficient language processing in devices-from smartphones to IoT devices. Neuromorphic computing fits well within these requirements with its energy-efficient architecture. Progress over time with improvements in SNNs is also advancing its ability to approach complex NLP tasks, 👀 😊which are closer to being adapted for commercial and industrial markets 👀😊. SNNs provide improved energy efficiency, demonstrated through being able to achieve up to 32x better energy efficiency during inference and 60x during training compared with traditional deep neural networks, further underlines the benefits of adding neuromorphic computing to NLP systems. Besides cost-efficiency in the field of NLP systems, such efficiency enables deploying complex language models even on devices with reduced resources. This leads to making neuromorphic NLP applications even more relevant to wider adoption and growth.

Industrial vertical in neuromorphic computing industry will account for the high CAGR by 2030.

Industrial segment will account for the high CAGR in the forecasted period. In the industrial vertical, manufacturing companies use neuromorphic computing for developing and testing end products, manufacturing delicate electronic components, printing products, metal product finishing, testing of machines, and security purpose. Neuromorphic computing can be used in these processes to store the data in chips, and the images can be extracted from the devices for further use. Neuromorphic computing also helps monitor the condition of the machines by analyzing the previous signals and comparing them with current signals. These advantages lead to high demand for neuromorphic processors and software in industrial vertical.

Asia Pacific will account for the highest CAGR during the forecast period.

The neuromorphic computing industry in Asia Pacific is expected to grow at the highest CAGR due to a high adoption rate of new technologies in this region. High economic growth, witnessed by the major countries such as China and India, is also expected to drive the growth of the neuromorphic computing industry in APAC. View attachment 72632 BrainChip, Inc. (Australia) View attachment 72633 , SynSense (China), MediaTek Inc. (Taiwan), SAMSUNG (South Korea), Sony Corporation (Japan), are some of the key players providing neuromorphic hardware and software in the region. In China, Japan, South Korea, and Singapore, for instance, significant investments have been made in neuromorphic research and infrastructure. This has fostered close relationships between academia, industry, and government, facilitating major breakthroughs in machine learning, natural language processing, and robotics that have propelled the development of neuromorphic technologies.

Key Players

Key companies operating in the neuromorphic computing industry are Intel Corporation (US), IBM (US), Qualcomm Technologies, Inc. (US), Samsung Electronics Co., Ltd. (South Korea), Sony Corporation (Japan), BrainChip, Inc. (Australia), SynSense (China), MediaTek Inc. (Taiwan), NXP Semiconductors (Netherlands), Advanced Micro Devices, Inc. (US), Hewlett Packard Enterprise Development LP (US), OMNIVISION (US), among others.

Bugger just getting 1% share of this. I want 2😉
 
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MrNick

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MrNick

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Fox151

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Don't blame me. Beachhead suck. Beach head, well, that's a different kinda suck. Use your space bar. Grammar saves lives...
 
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charles2

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Sosimple

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Event compute
 

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7für7

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Chip wars advance......

Cannot be good for Brainchip but maybe some see it differently(?)

I honestly don’t see why this would be bad for BrainChip. With the U.S. blocking TSMC from supplying certain chips to Huawei, it actually opens up more opportunities for BrainChip. Since l Akida isn’t tied up in these trade restrictions, they could attract more customers who are looking for alternatives to restricted suppliers. It seems like it could really boost BrainChip’s position in the market. Brainchip currently is not in the Chinese market with partnerships like Huawei … 🧐 I think it is positive just my personal opinion
 
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The buy and sell numbers are looking pretty good for a cracking week ahead
It would be good to see a quality announcement from management stating they have 4 contracts signed
And are super excited to see the progress of the company.

Slap me please I must be dreaming
 
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