Taproot
Regular
Sony announces development of its first over-the-counter hearing aid for the US
Prepare for a flood of hearing aids from tech companies.
BRN Discussion Ongoing
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cosors
👀
Ha, I'm glad that I also have sharp eyesThe better cars, Wozniak continues, are built by Mercedes. Their design is made for people and is intuitive - "just like Apple's products".
This is so good @cosors!!!!
I wonder what made Steve Wozniak think that electric cars built by Mercedes are "intuitive". Now where have I heard that expression before? Oh, hang on, silly me! I think I know the answer to this...
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Because of this word I have not continued to browse to the next article.
Learning
Learning to the Top 🕵♂️
An old pay report, but interesting. Sorry about the cut and paste.
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Global Neuromorphic Chip Market - Growth, Trends, COVID-19 Impact, And Forecasts ...
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Neuromorphic chips are digitally processed analog chips with a series of networks similar to human brain networks. These chips contain millions of neurons and synapses to augment self intelligence, irrespective of pre-installed codes in normal chips. As a special kind of chips, these are highly capable of manipulating data received through sensors.
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Neuromorphic Chip Market - Companies, Industry Size & Forecast
The Neuromorphic Chip Market is expected to reach USD 0.16 billion in 2024 and grow at a CAGR of 104.70% to reach USD 5.83 billion by 2029. Intel Corporation, SK Hynix Inc., IBM Corporation, Samsung Electronics Co. Ltd and GrAI Matter Labs are the major companies operating in this market.
GLOBAL NEUROMORPHIC CHIP MARKET - GROWTH, TRENDS, COVID-19 IMPACT, AND FORECASTS (2022 - 2027)
The Global Neuromorphic Chip Market is segmented by End User Industry (Financial Services & Cybersecurity, Automotive, Industrial, Consumer Electronics), and Geography.UPTO 35% OFF
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Market Snapshot
| Study Period: | 2019- 2026 |
| Base Year: | 2021 |
| Fastest Growing Market: | Asia-Pacific |
| Largest Market: | North America |
| CAGR: | 47.4 % |
|
Market Overview
The Neuromorphic Chip Market was valued at USD 22.5 million in 2020, and it is projected to be worth USD 333.6 million by 2026, registering a CAGR of 47.4% during the period of 2021-2026. Keeping the pace of advancement of disruptive technologies, such as artificial intelligence (AI) and machine learning (ML), various embedded system providers are keen to develop brain chips, where not only the chips will be processed fast but will also have responses like human brains for those systems to think and act in a human way.- Neuromorphic is a specific brain-inspired ASIC that implements the Spiked Neural Networks (SNNs). It has an object to reach the massively parallel brain processing ability in tens of watts on average. The memory and the processing units are in single abstraction (in-memory computing). This leads to the advantage of dynamic, self-programmable behavior in complex environments.
- Companies, such as BrainChip Holdings Ltd, are forming multiple partnership activities to utilize neuromorphic chips in curbing the spread of COVID-19. In May 2021, BrainChip Holdings Ltd partnered with precision immunology company Biotome Pty Ltd to develop a fast, accurate COVID-19 antibody test. The companies will explore how the Akida neural processor could improve the accuracy and information quality of the antibody tests while Biotome is developing by providing advanced AI capacity at the point of care.
- Neuromorphic chips can be designed digitally, analog, or in a mixed way. Analog chips resemble the characteristics of the biological properties of neural networks better than digital ones. In the analog architecture, few transistors are used for emulating the differential equations of neurons. Therefore, theoretically, they consume lesser energy than digital neuromorphic chips. Besides, they can extend the processing beyond its allocated time slot. Thanks to this feature, the speed can be accelerated to process faster than in real-time. However, the analog architecture leads to higher noise, which lowers the precision.
- Digital ones, on the other hand, are more precise compared to analog chips. Their digital structure enhances on-chip programming. This flexibility allows artificial intelligent researchers to accurately implement various kinds of an algorithm with low-energy consumption compared to GPUs. Mixed chips try to combine the advantages of analog chips, i.e., lesser energy consumption, and the benefits of digital ones, i.e., precision.
- Neuromorphic architectures address challenges, such as high-power consumption, low speed, and other efficiency-related bottlenecks prevalent in the von Neumann architecture. Unlike the traditional von Neumann architecture with sudden highs and lows in binary encoding, neuromorphic chips provide a continuous analog transition in the form of spiking signals. Neuromorphic architectures integrate storage and processing, getting rid of the bus bottleneck connecting the CPU and memory.
Scope of the Report
The Global Neuromorphic Chip Market is segmented by End-User Industry (Financial Services and Cybersecurity, Automotive, Industrial, Consumer Electronics), and Geography.Neuromorphic chips are digitally processed analog chips with a series of networks similar to human brain networks. These chips contain millions of neurons and synapses to augment self intelligence, irrespective of pre-installed codes in normal chips. As a special kind of chips, these are highly capable of manipulating data received through sensors.
| End User Industry | |
| Geography | |
Key Market Trends
Automotive is the Fastest Growing Industry to Adapt Neuromorphic Chip
- The automotive industry is one of the fastest-growing industries for neuromorphic chips. All the premium car manufacturers are investing heavily to achieve Level 5 of Vehicle Autonomy, which in turn, is anticipated to generate huge demand for AI-powered neuromorphic chips.
- The autonomous driving market requires constant improvement in AI algorithms for high throughput with low power requirements. Neuromorphic chips are ideal for classification tasks and could be utilized for several scenarios in autonomous driving. Compared with static deep learning solutions, they are also more efficient in a noisy environment, such as self-driving vehicles.
- According to Intel, four terabytes is the estimated amount of data that an autonomous car may generate through almost an hour and a half of driving or the amount of time a general person spends in their car each day. Autonomous vehicles face a significant challenge in efficiently managing all the data generated during these trips.
- The computers running the latest self-driving cars are effectively small supercomputers. The companies, such as Nvidia, aim to achieve Level 5 autonomous driving in 2022, delivering 200TOPS (trillions of operations per second) using 750W of power. However, spending 750W an hour on processing is poised to have a noticeable impact on the driving range of electric vehicles.
- ADAS (Advanced Driver Assistance System) applications include image learning and recognition functions among various automotive applications of neuromorphic chips. It works like conventional ADAS functions, such as cruise control or intelligent speed, assist system in passenger cars. It can control vehicle speed by recognizing the traffic information marked on roads, such as crosswalks, school zone, road-bump, etc.
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North America is Expected to Hold Major Share over the Forecast Period
- North America is home to some of the major market vendors, such as Intel Corporation and IBM Corporation. nThe market for neuromorphic chips is growing in the region due to factors such as government initiatives, investment activities, and others. For instance, in September 2020, the Department of Energy (DOE) announced USD 2 million funding for five basic research projects to advance neuromorphic computing. The initiative by DOE supports the development of both hardware and software for brain-inspired neuromorphic computing.
- The miniaturization of neuromorphic chips that help in different applications is also contributing to the market's growth. For instance, in June 2020, MIT engineers designed a brain-on-chip smaller than a piece of confetti made from tens of thousands of artificial brain synapses known as memristors, which are silicon-based components that mimic the information transmitting synapses in the human brain. Such chips can be utilized in small and portable AI devices.
- The government of Canada is also focusing on Artificial Intelligence technology, which will create a scope for growth in neuromorphic computing over the coming years. For instance, in June 2020, the governments of Canada and Quebec joined hands to advance the responsible development of AI. The focus will be on different themes, such as future work and innovation, commercialization, data governance, and reliable AI.
- Big investments into research and development activities through partnerships are being witnessed in the region. For instance, in October 2020, Sandia National Laboratories, one of three National Nuclear Security Administration research and development laboratories in the United States, partnered with Intel to explore the value of neuromorphic computing for scaled-up computational problems.
- The penetration of neural-based chipsets in commercialized applications is also propelling the growth of the market. For instance, in November 2020, one of the biggest technology companies, Apple, launched its M1 Chip explicitly designed for its Mac products. The M1 Chip brings Apple Neural Engine to the Mac and accelerates the machine learning tasks. The 16-core architecture can perform 11 trillion operations per second, enabling up to 15x faster ML performance.
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Competitive Landscape
As the market for neuromorphic chips is very niche and in the initial phase of development, the market has a presence of a few players, such as BrainChip Holdings Ltd, Intel Corporation, SynSense AG, etc. Top players are growing intensely in this consolidated market scenario through various market development strategies, such as collaboration, market expansion, product innovation, and R&D activities. Hence the market concentration is medium.- April 2021 – Brainchip Research Institute in Perth has entered into a research collaboration with precision immunology company Biotome Pty Ltd. Biotome is developing highly accurate antibody tests for infections. Brainchip's Akida neuromorphic processor chip will be used to interpret sensor responses and find out which responses are the most representative for protective antibodies.
- January 2021 - GrAI Matter Labs introduced GrAI VIP, Vision Inference Processor, a full-stack AI system-on-chip platform that will drive a significant step in fast responsiveness for visual inference capabilities in robotics, industrial automation, AR/VR, and surveillance products and markets. GrAI Matter Labs' proven NeuronFlow event-based dataflow compute technology in GrAI VIP enables industry-leading inference latency up to 100x better than competing solutions.
- September 2020 - SynSense announced that the company is building the next generation of brain-machine interfaces. The company set the goal of making a neural prosthesis for a rat so that it can sense the world even without whiskers. This technology will be able to restore touch or other sensations to people who have lost it in the future.
- March 2020 - SolidRun and Gyrfalcon developed First Edge Optimized AI Inference Server Janux GS31 that supports leading neural network frameworks. It can be configured with up to 128 Gyrfalcon Lightspeeur SPR2803 AI acceleration chips for improved inference performance for most complex video AI models.
Major Players
Recent Developments
- May 2021 - CEA-Leti announced an EU project to develop algorithms, electronic devices, and circuits to form analog spiking processors that mimic biological neural systems. The project reportedly began in 2020 with a team that included researchers from Leti, IMEC, IBM Zurich, and the China-backed Swiss startup SynSense AG.
- July 2020: A team of researchers at the National University of Singapore (NUS) developed an electronic skin system that could give robots and prosthetic devices a sense of touch in the future. Dubbed Asynchronous Coded Electronic Skin (Aces), the "e-skin" system comprises an artificial nervous system that analyses data transmitted from a network of independent sensors using the Intel Loihi neuromorphic chip. According to NUS, Acres can differentiate physical contact between different sensors in less than 60 nanoseconds – the fastest ever achieved for an electronic skin technology – even with large numbers of sensors.
- March 2020 - Intel announced the readiness of its latest and most powerful neuromorphic research center Pohoiki Springs; this system has a computation capacity of 100 million neurons and is 1,000 times faster and 10,000 times more efficiently than conventional processors.
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Deadpool
hyper-efficient Ai
I have assumed, that now Rob has progressed to full time playing golf, that's right schmoozing our paid up members and collaborators and getting paid for it (good on ya bloke), the job of podcast master, must now surely rest with our new VP of WW sales. Although I think Jerome would make an excellent host.
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S
Straw
Guest
I'm pretty sure they stated in the newsletter that the podcast was on a break (into October I think).
Sirod69
bavarian girl ;-)
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From day one at the #AIHardwareSummit. The BrainChip booth in action with demos running! #neuromorphic #AI #EdgeAI
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cosors
👀
Deliberately I post this without evaluation and want to remain as neutral as possible with this post. I have followed the construction of the booth and immediately two cutting questions but also a solution for an unsolved problem in mind. But make up your own mind about their alternative concept. I am curious about comments.Some entertainment for you. Don't mind the SP. Yesterday was the worst trading day on Wall Street in two years.
There is a big trade fair on digitalisation in my city. It's a bit advertising for a phone provider and not interesting for us as far as I can see. Anyway, international speakers are also invited to the fair. Here are some statements from yesterday:
"Apple co-founder Wozniak: "I'll never touch a Tesla again"
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Apple co-founder Steve Wozniak was a guest at Digital X.
Wednesday, 09/14/2022, 07:37
Startup culture and Web 3.0 – someone who knows this well is Silicon Valley legend Steve Wozniak. But the co-founder of the tech giant Apple is not uncritical. He revealed to FOCUS online why he advocates more regulation on the Internet and why he no longer buys the latest iPhone.
Corporate bosses, investors or politicians - they all demand that Germany must become more innovative again. But how does a company become innovative in the first place? One who has an answer is Steve Wozniak. Inventors are needed for real innovation, said Apple -Co-founder and designer of the Apple II - the first really widespread PC - at the Cologne trade fair Digital X.
“Inventors get ideas and want to run to the lab and try them out. It's part of being an inventor," says Wozniak. Many companies would come up with an idea today and later hire engineers to make it happen. "I'm saying it has to be the other way around: from day 1, engineers have to be on board who want to realize ideas, and the business has to follow."
That was no different at Apple , said Wozniak. "I've always been an engineer, and at Apple I didn't want to make big bucks, I wanted to showcase my engineering skills."
However, Wozniak also criticized many technological developments in his speech. "For AI [artificial intelligence], I only believe in the 'A' in the name," Wozniak said. So far, we don't even know how the human brain works properly, and we already want to rebuild it. But AI is not ready yet, Wozniak said. "AI is very good at specific problems, but if you change the rules even a little bit, the AI has to relearn everything."
"I'll never touch a Tesla again"
Wozniak also dished out against well-known tech companies: "How can it be that even the dumbest human driver can adapt to the smallest changes, but Tesla's autopilot can't?"
The Apple co-founder was noticeably unenthusiastic about Elon Musk's vehicles: "They have the most terrible user interface. I'll never touch a Tesla again on,” says Wozniak. The better cars, Wozniak continues, are built by Mercedes. Their design is made for people and is intuitive - "just like Apple's products".
However, the engineer did not want to lean too far out of the window when it comes to future technologies. Wozniak did say that quantum computing could be the "next big thing" in Silicon Valley. "I don't like looking too far into the future, though." When he was still at Apple, he was able to say what would be on the market in a year's time - "because I worked on that myself. But every time I've made a prediction over two years, I've been wrong," said Wozniak.
Steve Wozniak speaking to reporters.
Wozniak is also skeptical about so-called "Web 3.0", new technologies such as blockchain, and also the increasing networking of devices. “I loved the early internet – you were free from the control of the powerful and rich. It's not like that anymore, and that's a shame.”
Apple co-founder advocates more regulation
The intentions behind many new technologies are good, Wozniak continued. When asked by FOCUS online whether users are more controlled by new technologies, the 72-year-old replied: "Today it is difficult to really own something, even a car! You set a temperature of 23 degrees in the car, take the dog out and come back to find that the temperature has been changed – and why? Because the AI thinks they know better than you!”
In order to prevent the actual users of the Internet from losing control in the end, Wozniak also advocates stronger regulation by politicians. “Here, Europe and Germany are ahead of the USA. I'm always happy when I hear when a large tech group has been put in its place again."
Incidentally, Wozniak was long associated with his former employer: "I've always bought the latest iPhone," revealed Wozniak to FOCUS online - "at least until now". In the meantime, the device generations would be too similar: "I also have the Apple Watches 5, 6 and 7 at home - and I can no longer see any differences! I don't need new equipment anymore if the only reason for doing so is just to show that you're up to date.""
https://www.focus.de/finanzen/news/...e-schranken-gewiesen-werden_id_146133406.html
https://www.mira-mobility.com/shaping-the-future-of-mobility/
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M_C
Founding Member
Obviously we are working with the U.S Government but this is also a possible GOOGLE connection.......
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Pamela Norris on LinkedIn: NIST and Google to Create New Supply of Chips for Researchers and Tech…
Exciting news! The George Washington University is one of five academic research partners working with the U.S. Department of Commerce's National Institute for…
supersonic001
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BrainChip on LinkedIn: #aihardwaresummit
BrainChip's Rob Telson moderating the #AIHardwareSummit panel on - Lessons learned from edge aspects of autonomous driving. Speakers were from DENSO…
supersonic001
Regular
Parag Beeraka on LinkedIn: #ai #arm #ml #ecosystem #hardware #software
Attending the AI Hardware Summit and Edge AI Summit in Santa Clara to meet with partners to run AI and ML best on Arm #ai #arm #ml #ecosystem #hardware…
GOLD Partner Chippa !!
The better cars, Wozniak continues, are built by Mercedes. Their design is made for people and is intuitive - "just like Apple's products".
This is so good @cosors!!!!
I wonder what made Steve Wozniak think that electric cars built by Mercedes are "intuitive". Now where have I heard that expression before? Oh, hang on, silly me! I think I know the answer to this...
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Tesla is sued by drivers over alleged false Autopilot, Full Self-Driving claims
Tesla Inc was sued on Wednesday in a proposed class action accusing Elon Musk's electric car company of misleading the public by falsely advertising its Autopilot and Full Self-Driving features.
BaconLover
Founding Member
Do we have any Wyckoff experts here? Or am I seeing things through my rose coloured glasses because of my bias?
Anyways, I think we are at a Wyckoff accumulation phase. It is not quite text book, but close.
No 2 charts would be alike so I guess it is normal to have some variances here. BRN is on the daily on this chart, still at below SMA 30, so is on the weekly, unfortunately. If it breaks the support line, this theory would be wrong, and I will go eat my humble pie, so keen to know how this plays out over the next 2 months.
Not financial advice, I am no charting expert so take my opinion with a kilogram of salt. The ASX, markets around the whole world, and the IT sector are all a bit confused at the moment, so there's also that.
Have a great day all.
Kachoo
Regular
Thanks BL a few others not on these chats are also seeing bullish patterns emerging so it's good to see others are too. I am not really a charter though i do look at indicators the future looks rosey anyway IMO.
equanimous
Norse clairvoyant shapeshifter goddess
Fact Finder
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Northrop Grumman, Raytheon move forward in developing electro-optical sensors with built-in machine learning
Sept. 12, 2022DARPA FENCE seeks to develop an event-based camera and a new class of digital signal processing and machine learning for intelligent military sensors.
ARLINGTON, Va. – Two U.S. prime defense systems integrators are moving forward with a military research project to develop a new kind of camera and digital signal processing to enable intelligent electro-optical sensors for tactical military applications.
Officials of the U.S. Defense Advanced Research Projects Agency (DARPA) in Arlington, Va., awarded orders collectively worth $25 million to the Northrop Grumman Corp. Mission Systems segment in Linthicum Heights, Md., and to the Raytheon Intelligence & Space segment in El Segundo, Calif., for the second phase of the Fast Event-based Neuromorphic Camera and Electronics (FENCE) program.
DARPA FENCE seeks to develop and demonstrate a low-latency, low-power, event-based camera and a new class of digital signal processing and machine learningalgorithms that use combined spatial and temporal information to enable intelligent sensors for tactical military applications.
In June 2021 Northrop Grumman won a $15.8 million contract and Raytheon won an $8.8 million contract for the first phase of the FENCE program.
Related: Electro-optical sensors for multispectral aerial reconnaissance with deep-learning introduced by Elbit
Neuromorphic describes silicon circuits that mimic brain operation; it exhibits low latency, sparse output, and extreme energy efficiency. Neuromorphic cameras offer sparse output, and respond only to changes in the scene, with accompanying low latency and low power for small-format cameras in sparse scenes.
Event-based imaging sensorsoperate asynchronously, and only transmit data from pixels that have changed, so they produce 100 times less data in sparse scenes than traditional focal plane arrays (FPAs). This leads to 100x lower latency at 100x lower power.
Despite their inherent advantages, existing event-based cameras are not compatible with military applications because military images are cluttered and dynamic. The FENCE program seeks to develop an integrated event-based infrared focal plan array with embedded processing to overcome these challenges.
The FENCE program's primary focus is on developing an asynchronous read-out integrated circuit (ROIC) capable of very low latency and power operation, and a new, low-latency event-based infrared sensor with in-pixel processing.
Related: Northrop Grumman to flight-test technologies for sensors that cover the entire electromagnetic spectrum
The project also will develop a low-power processing layer that integrates with the ROIC to identify relevant spatial and temporal signals. The ROIC and the processing layer together will enable an integrated FENCE sensor that can operate on less power than 1.5 Watts.
On these orders Northrop Grumman will do the work in Linthicum Heights, Maryland; Baltimore; San Diego; and Palo Alto, Calif. Raytheon will do its work in Goleta and El Segundo, Calif.; Cambridge and Tewksbury, Mass.; McKinney, Texas; and New York. The companies should be finished by June 2024.
For more information contact Northrop Grumman Mission Systems online at www.northropgrumman.com, Raytheon Intelligence & Space at www.raytheonintelligenceandspace.com, or DARPA at Paste link here.
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My view of the present share price is that until the Fed comes out with the next interest rate hike the tech sector will look like a panicked school of herring being stalked by sharks.
The tech sector or at least the US end is characterised by large debt and significant exposure to the retail sector. So tech gets it from both directions when interest rates rise. Their debt costs more to service and consumers have less money to buy their products.
Just need to remember that Brainchip has no debt and does not sell to retail. Brainchip’s AKIDA IP has unlimited market applications and the uptake is not based upon market conditions this week.
For example an automotive manufacturer is looking to a market four years from today. Mobile phone manufacturer similar story.
Yesterday’s sell off was irrational as will be any recovery today as will be a sell off tomorrow and so on and so forth until the Fed announces its decision on rates.
My opinion only DYOR
FF
AKIDA BALLISTA
The tech sector or at least the US end is characterised by large debt and significant exposure to the retail sector. So tech gets it from both directions when interest rates rise. Their debt costs more to service and consumers have less money to buy their products.
Just need to remember that Brainchip has no debt and does not sell to retail. Brainchip’s AKIDA IP has unlimited market applications and the uptake is not based upon market conditions this week.
For example an automotive manufacturer is looking to a market four years from today. Mobile phone manufacturer similar story.
Yesterday’s sell off was irrational as will be any recovery today as will be a sell off tomorrow and so on and so forth until the Fed announces its decision on rates.
My opinion only DYOR
FF
AKIDA BALLISTA
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