BRN Discussion Ongoing
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It’s not his fault actually… the media is just too incompetent to name it as it should be called! NEURALINK!! Elon, neuralink and brainchip…. What is that? this is not even helpful for brainchip to be honest.
Top Neuromorphic Computing Stocks for 2025: Ranked by Pure-Play Focus
This guide covers the top neuromorphic computing stocks and companies for investors to watch, ranked by their pure-play focus.
exoswan.com
Extract:-
“
Tier 1: Pure-Play Neuromorphic Computing Stocks
The pure-play neuromorphic computing stocks represent the cutting edge of this nascent industry. These companies stake their entire business model on the potential of these brain-inspired chips. While this focus creates higher risk, it also offers the most direct exposure for investors bullish on neuromorphic computing. With only one public company currently in this tier, it underscores just how early we are in the neuromorphic computing market.BrainChip Holdings (ASX: BRN)
BrainChip Holdings (ASX: BRN) is a first-mover in commercial neuromorphic computing, with a focus on energy-efficient edge AI.Australia-based BrainChip is a pioneer in commercializing neuromorphic computing, focusing on edge AI solutions. The company has developed an Edge AI platform that combines innovative silicon IP, software, and machine learning. This platform includes the Akida neuromorphic processor. Akida is designed to process information in a way that mimics the human brain from a fundamental hardware level. This “imitation” goes beyond the deep neural networks used in today’s AI models.
Brainship enjoys first-mover advantage in commercial neuromorphic computing. The company’s technology has several unique features, including microwatt power consumption and on-chip learning, while being able to support standard machine learning workflows. In fact, it offers a claimed 5-10x improvement in performance-per-watt over traditional AI accelerators. This would make the Akida chip ideal for battery-powered devices, edge computing, and in-sensor intelligence.
The company is pursuing a flexible business model centered on high-margin IP licensing. This strategy involves upfront license fees and ongoing royalties, which could provide steady revenue as adoption grows. BrainChip’s intellectual property portfolio includes 17 granted patents and 30 pending patents. The company’s team consists of 80% engineers, with 15% holding PhDs from leading AI research programs. BrainChip is also building partnerships with system integrators, including MegaChips, Prophesee, and SiFive.”
Evermont
Stealth Mode
Intel Foundry Achieves Major Milestones
Intel 18A powered on and healthy, on track for next-gen client and server chip production next year.BrainChip is an IP Partner of IFS. Worth reading the second link as well.
Intel Foundry Achieves Major Milestones
Intel 18A powered on and healthy, on track for next-gen client and server chip production next year.
www.intel.com
Kevin O’Buckley Talks Progress on Intel 18A
New Foundry Services leader reveals why he came to Intel, excitement for the foundry business and why Intel 18A matters to the future of computing.
www.intel.com
Smoothsailing
Regular
Regarding this Intel 18A platform if I am reading this correctly it will be the customer whom chooses their particular design and if it is to include BRN Akida , is that correct?.
Hi Gazza,Top Neuromorphic Computing Stocks for 2025: Ranked by Pure-Play Focus
This guide covers the top neuromorphic computing stocks and companies for investors to watch, ranked by their pure-play focus.
Extract:-
“
Tier 1: Pure-Play Neuromorphic Computing Stocks
The pure-play neuromorphic computing stocks represent the cutting edge of this nascent industry. These companies stake their entire business model on the potential of these brain-inspired chips. While this focus creates higher risk, it also offers the most direct exposure for investors bullish on neuromorphic computing. With only one public company currently in this tier, it underscores just how early we are in the neuromorphic computing market.
BrainChip Holdings (ASX: BRN)
BrainChip Holdings (ASX: BRN) is a first-mover in commercial neuromorphic computing, with a focus on energy-efficient edge AI.
Australia-based BrainChip is a pioneer in commercializing neuromorphic computing, focusing on edge AI solutions. The company has developed an Edge AI platform that combines innovative silicon IP, software, and machine learning. This platform includes the Akida neuromorphic processor. Akida is designed to process information in a way that mimics the human brain from a fundamental hardware level. This “imitation” goes beyond the deep neural networks used in today’s AI models.
Brainship enjoys first-mover advantage in commercial neuromorphic computing. The company’s technology has several unique features, including microwatt power consumption and on-chip learning, while being able to support standard machine learning workflows. In fact, it offers a claimed 5-10x improvement in performance-per-watt over traditional AI accelerators. This would make the Akida chip ideal for battery-powered devices, edge computing, and in-sensor intelligence.
The company is pursuing a flexible business model centered on high-margin IP licensing. This strategy involves upfront license fees and ongoing royalties, which could provide steady revenue as adoption grows. BrainChip’s intellectual property portfolio includes 17 granted patents and 30 pending patents. The company’s team consists of 80% engineers, with 15% holding PhDs from leading AI research programs. BrainChip is also building partnerships with system integrators, including MegaChips, Prophesee, and SiFive.”
Thanks for this. We've seen a couple of articles along this line, which allow me to maintain my illusion about software as a product.
As you may or may not know, I've been posting about the possibility of our EAPs using Akida simulation software, particularly after the emergence of Akida 2 + TeNNs more than 30 months ago, with Valeo and MB using software for signal processing. This sentence from the article again adds more grist to that rumor mill:
"The company has developed an Edge AI platform that combines innovative silicon IP, software, and machine learning."
To repeat myself, no potential user would commit to Akida 2 in silicon while the tech was in a state of flux. The use of software AI is not so problematic in ICEs as it is in EVs, but from what we've heard about TeNNs, the power and latency could be tolerated in EVs using TeNNs in software. Of course, the software would sensibly include the full Akida 2 simulation including TeNNs, or TeNNs could be used on its own. Software can be readily updated as new developments are implemented, whereas silicon is set in stone.
It's been several months since Anil announced the proposed tapeout of Akida 2, which suggests that the development had reached a satisfactory plateau of stability sufficient for the company to commit to silicon. The tapeout was subsequently "delegated" to a mysterious "other" - the rest is silence.
The SPP talks about developing a cloud-based FPGA demonstration setup, again, not a tapeout. This would be a cheaper way to obtain customer feedback than taping out and making a batch of "engineering sample" chips.
Presumably the mysterious "other" would want to be in on the results of the cloud feedback before going to silicon.
Does this mean that we need to wait for the cloud FPGA venture to provide meaningful results before the tapeout can be implemented? - sigh!
Does it follow that BRN will become a software provider, at least in the short term?
MadMayHam | 合氣道
Regular
@Diogenese what do you mean by "The tapeout was subsequently "delegated" to a mysterious "other" - " ?
Frangipani
Top 20
Researchers at UC Irvine’s Cognitive Anteater Robotics Laboratory (CARL), led by Jeffrey Krichmar, have been experimenting with AKD1000:
github.com
GitHub - UCI-CARL/CARLsimPP
Contribute to UCI-CARL/CARLsimPP development by creating an account on GitHub.
github.com
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FJ-215
Regular
Hi @Diogenese,
One question I would have for Sean, is, how do we provide yield numbers for Akida 2 without proving it out in silicon? Yes, we have AKD 1000/1500 from two different foundries but no commercial runs to speak of.
If I remember the ARM history correctly, they were on their 4th or 5th run of commercial chips before going down the IP route that BRN is trying to copy.
FiveBucks
Regular
FJ-215
Regular
Who knows, maybe a mix of the two.
Frangipani
Top 20
Researchers at UC Irvine’s Cognitive Anteater Robotics Laboratory (CARL), led by Jeffrey Krichmar, have been experimenting with AKD1000:
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GitHub - UCI-CARL/CARLsimPP
Contribute to UCI-CARL/CARLsimPP development by creating an account on GitHub.
View attachment 67695
This is the paper I linked in my previous post, co-authored by Lars Niedermeier, a Zurich-based IT consultant, and the above-mentioned Jeff Krichmar from UC Irvine.
The two of them co-authored three papers in recent years, including one in 2022 with another UC Irvine professor and member of the CARL team, Nikil Dutt (https://ics.uci.edu/~dutt/) as well as Anup Das from Drexel University, whose endorsement of Akida is quoted on the BrainChip website:
Lars Niedermeier’s and Jeff Krichmar’s April 2024 publication on CARLsim++ (which does not mention Akida) ends with the following conclusion and the acknowledgement that their work was supported by the Air Force Office of Scientific Research - the funding has been going on at least since 2022 -
and a UCI Beall Applied Innovation Proof of Product Award (https://innovation.uci.edu/pop/)
and they also thank the regional NSF I-Corps (= Innovation Corps) for valuable insights.
Their use of an E-Puck robot (https://en.m.wikipedia.org/wiki/E-puck_mobile_robot) for their work reminded me of our CTO’s address at the AGM in May, during which he envisioned the following object (from 22:44 min):
“Imagine a compact device similar in size to a hockey puck that combines speech recognition, LLMs and an intelligent agent capable of controlling your home’s lighting, assisting with home repairs and much more. All without needing constant connectivity or having to worry about privacy and security concerns, a major barrier to adaptation, particularly in industrial settings.”
Possibly something in the works here?
The version the two authors were envisioning in their April 2024 paper is, however, conceptualised as being available as a cloud service:
“We plan a hybrid approach to large language models available as cloud service for processing of voice and text to speech.”
The authors gave a tutorial on CARLsim++ at NICE 2024, where our CTO Tony Lewis was also presenting. Maybe they had a fruitful discussion at that conference in La Jolla, which resulted in UC Irvine’s Cognitive Anteater Robotics Laboratory (CARL) team experimenting with AKD1000, as evidenced in the video uploaded a couple of hours ago that I shared in my previous post?
GCtronic
www.gctronic.com
Attachments
Last edited:
Frangipani
Top 20
View attachment 67696
This is the paper I linked in my previous post, co-authored by Lars Niedermeier, a Zurich-based IT consultant, and the above-mentioned Jeff Krichmar from UC Irvine.
View attachment 67703
The two of them co-authored three papers in recent years, including one in 2022 with another UC Irvine professor and member of the CARL team, Nikil Dutt (https://ics.uci.edu/~dutt/) as well as Anup Das from Drexel University, whose endorsement of Akida is quoted on the BrainChip website:
View attachment 67702
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View attachment 67701
Lars Niedermeier’s and Jeff Krichmar’s April 2024 publication on CARLsim++ (which does not mention Akida) ends with the following conclusion and the acknowledgement that their work was supported by the Air Force Office of Scientific Research - the funding has been going on at least since 2022 -
and a UCI Beall Applied Innovation Proof of Product Award (https://innovation.uci.edu/pop/)
and they also thank the regional NSF I-Corps (= Innovation Corps) for valuable insights.
View attachment 67699
View attachment 67704
Their use of an E-Puck robot (https://en.m.wikipedia.org/wiki/E-puck_mobile_robot) for their work reminded me of our CTO’s address at the AGM in May, during which he envisioned the following object (from 22:44 min):
“Imagine a compact device similar in size to a hockey puck that combines speech recognition, LLMs and an intelligent agent capable of controlling your home’s lighting, assisting with home repairs and much more. All without needing constant connectivity or having to worry about privacy and security concerns, a major barrier to adaptation, particularly in industrial settings.”
Possibly something in the works here?
The version the two authors were envisioning in their April 2024 paper is, however, conceptualised as being available as a cloud service:
“We plan a hybrid approach to large language models available as cloud service for processing of voice and text to speech.”
The authors gave a tutorial on CARLsim++ at NICE 2024, where our CTO Tony Lewis was also presenting. Maybe they had a fruitful discussion at that conference in La Jolla, which resulted in UC Irvine’s Cognitive Anteater Robotics Laboratory (CARL) team experimenting with AKD1000, as evidenced in the video uploaded a couple of hours ago that I shared in my previous post?
View attachment 67705
GCtronic
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While I was out running errands just now, I recalled that we had some sort of connection to UCI through one of our research scientists - and bingo!
Kristofor Carlson was a postdoc at Jeff Krichmar‘s Cognitive Robotics Lab a decade ago and co-authored a number of research papers with both Jeff Krichmar and Nikil Dutt over the years, the last one published in 2019:
Changes are being made.
Big ones
finance.yahoo.com
Big ones
BrainChip Appoints New CMO, Enhances Scientific Advisory Board
LAGUNA HILLS, Calif., August 07, 2024--BrainChip Appoints New CMO, Enhances Scientific Advisory Board
finance.yahoo.com
Intel Foundry Achieves Major Milestones
Intel 18A powered on and healthy, on track for next-gen client and server chip production next year.
View attachment 67663
View attachment 67664
BrainChip is an IP Partner of IFS. Worth reading the second link as well.
View attachment 67665
Intel Foundry Achieves Major Milestones
Intel 18A powered on and healthy, on track for next-gen client and server chip production next year.
Kevin O’Buckley Talks Progress on Intel 18A
New Foundry Services leader reveals why he came to Intel, excitement for the foundry business and why Intel 18A matters to the future of computing.
Hi Evermont,
Interesting development.
Could it be that the tapeout of Akida 2 has been delayed so it can be adapted for Intel's 18A process?
https://www.intel.com/content/www/u...ndry-achieves-major-milestones.html#gs.dahsjf
What’s New: Intel today announced that its lead products on Intel 18A, Panther Lake (AI PC client processor) and Clearwater Forest (server processor), are out of the fab and have powered-on and booted operating systems. These milestones were achieved less than two quarters after tape-out, with both products on track to start production in 2025. The company also announced that the first external customer is expected to tape out on Intel 18A in the first half of next year.
...
More on Intel 18A: In July, Intel released the 18A Process Design Kit (PDK) 1.0, design tools that enable foundry customers to harness the capabilities of RibbonFET gate-all-around transistor architecture and PowerVia backside power delivery in their designs on Intel 18A. Electronic design automation (EDA) and intellectual property (IP) partners are updating their offerings to enable customers to begin their final production designs.
...
How Customers are Involved: In gaining access to the Intel 18A PDK 1.0 last month, the company’s EDA and IP partners are updating their tools and design flows to enable external foundry customers to begin their Intel 18A chip designs. This is a critical enabling milestone for Intel’s foundry business.
The "A" in 18A is Angstrom, a measurement unit = 0.1 nm, so 18A = 1.8 nm. At these distances you're starting to get close to where parasitic quantum effects can influence the operation of the transistors, and the impedance of the connecting "wires" becomes a significant source of power loss. I would think that this will need a whole new design system. Intel are using gate-all-around transistors which are very different from our planar CMOS technology - no wonder Anil is retiring!
Akida's SNN sparsity would help overcome the connector wire impedance loss by sending electrical impulses less frequently than MACs.
CHIPS
Regular
There is new hope on the horizon!
brainchip.com
Laguna Hills, Calif. – August 7th, 2024 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI, today announced that it has hired Steven Brightfield as its new chief marketing officer and has re-envisioned its Scientific Advisory Board (SAB) by bringing on company founder Peter van der Made, Dr. Jason K. Eshraghian and Dr. André van Schaik.
Brightfield has a depth of tech industry knowledge and experience within the AI semiconductor industry. He previously led marketing at several AI focused technology companies, such as SiMa.ai, X-Silicon and Wave Computing combined with deep experience within the semiconductor sector, including executive leadership positions at LSI Logic, Qualcomm, Zoran and others. One of Brightfield’s first priorities at BrainChip will be to oversee the development of a marketing strategy for the new TENNs product, an advanced, ultra efficient neural network architecture and integrate it into the Akida technology platform.
The Scientific Advisory Board provides independent advice and expert consultation for the executive staff of Brainchip to guide the scientific and technical aspects of the company’s short-and long-term goals. The SAB also reviews and evaluates the research and development programs of BrainChip with respect to quality and scope. The re-envisioned SAB provides new perspectives from key industry leaders in AI with increasing focus under the leadership of Dr. Tony Lewis.
van der Made has been at the forefront of computer innovation for 45 years. One of the founders of BrainChip, he designed the first generations of digital neuromorphic devices on which the Akida™ chip was based. van der Made previously served as chief technology officer for BrainChip until his retirement last year. He remains a member of the company’s board of directors.
Eshraghian is an Assistant Professor with the Department of Electrical and Computer Engineering, University of California, Santa Cruz. He serves as the Secretary of the Neural Systems and Applications Technical Committee. His research interests are in large-scale neuromorphic computing. Dr. Eshraghian is the developer of snnTorch, a widely used Python library with more than 150,000 downloads used to train and model spiking neural networks, and his lab developed several high-profile language models, including SpikeGPT, and the MatMul-
Free LLM.
Van Schaik is a pioneer of the field of neuromorphic engineering. He is a professor of electrical engineering at the Western Sydney University and director of the International Centre for Neuromorphic Systems, also in Australia. His research focuses on neuromorphic engineering and computational neuroscience. Dr. Van Schaik has authored more than 300 publications, invented more than 35 patents and is a founder of four start-up companies: VAST Audio, Personal Audio, Heard Systems and Optera.
“I am pleased to add new team members with the skills, experience and credentials to advance BrainChip’s adoption in the market” said Sean Hehir, BrainChip’s CEO. “Leveraging Steve’s expertise as a technology marketer and expanding our Scientific Advisory Board with some of the keenest minds in the industry, better positions us to achieve our goals. I am eager to work closely with each of them.”
BrainChip Appoints New CMO, Enhances Scientific Advisory Board
BrainChip Appoints New CMO, Enhances Scientific Advisory Board Laguna Hills, Calif. – August 7th, 2024 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI, today announced that it...
brainchip.com
BrainChip Appoints New CMO, Enhances Scientific Advisory Board
Laguna Hills, Calif. – August 7th, 2024 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI, today announced that it has hired Steven Brightfield as its new chief marketing officer and has re-envisioned its Scientific Advisory Board (SAB) by bringing on company founder Peter van der Made, Dr. Jason K. Eshraghian and Dr. André van Schaik.
Brightfield has a depth of tech industry knowledge and experience within the AI semiconductor industry. He previously led marketing at several AI focused technology companies, such as SiMa.ai, X-Silicon and Wave Computing combined with deep experience within the semiconductor sector, including executive leadership positions at LSI Logic, Qualcomm, Zoran and others. One of Brightfield’s first priorities at BrainChip will be to oversee the development of a marketing strategy for the new TENNs product, an advanced, ultra efficient neural network architecture and integrate it into the Akida technology platform.
The Scientific Advisory Board provides independent advice and expert consultation for the executive staff of Brainchip to guide the scientific and technical aspects of the company’s short-and long-term goals. The SAB also reviews and evaluates the research and development programs of BrainChip with respect to quality and scope. The re-envisioned SAB provides new perspectives from key industry leaders in AI with increasing focus under the leadership of Dr. Tony Lewis.
van der Made has been at the forefront of computer innovation for 45 years. One of the founders of BrainChip, he designed the first generations of digital neuromorphic devices on which the Akida™ chip was based. van der Made previously served as chief technology officer for BrainChip until his retirement last year. He remains a member of the company’s board of directors.
Eshraghian is an Assistant Professor with the Department of Electrical and Computer Engineering, University of California, Santa Cruz. He serves as the Secretary of the Neural Systems and Applications Technical Committee. His research interests are in large-scale neuromorphic computing. Dr. Eshraghian is the developer of snnTorch, a widely used Python library with more than 150,000 downloads used to train and model spiking neural networks, and his lab developed several high-profile language models, including SpikeGPT, and the MatMul-
Free LLM.
Van Schaik is a pioneer of the field of neuromorphic engineering. He is a professor of electrical engineering at the Western Sydney University and director of the International Centre for Neuromorphic Systems, also in Australia. His research focuses on neuromorphic engineering and computational neuroscience. Dr. Van Schaik has authored more than 300 publications, invented more than 35 patents and is a founder of four start-up companies: VAST Audio, Personal Audio, Heard Systems and Optera.
“I am pleased to add new team members with the skills, experience and credentials to advance BrainChip’s adoption in the market” said Sean Hehir, BrainChip’s CEO. “Leveraging Steve’s expertise as a technology marketer and expanding our Scientific Advisory Board with some of the keenest minds in the industry, better positions us to achieve our goals. I am eager to work closely with each of them.”
Changes are being made.
Big ones
BrainChip Appoints New CMO, Enhances Scientific Advisory Board
LAGUNA HILLS, Calif., August 07, 2024--BrainChip Appoints New CMO, Enhances Scientific Advisory Board
Hi Charles,
I think our new CMO should invest in a quality pair of garters because he's about to have, or probably already has had, his socks blown off. He will be doing a crash course in digital SNNs.
His earlier foray into AI marketing at Wave Computer* was based on MACs and one of his muses is Yan le Cun who is not a fan of SNNs.
US11227030B2 Matrix multiplication engine using pipelining 20190401
a matrix multiplication engine using pipelining are disclosed. A first and a second matrix are obtained for matrix multiplication. A first matrix multiply-accumulate (MAC) unit is configured, where a first matrix element and a second matrix element are presented to the MAC unit on a first cycle. A second MAC unit is configured in pipelined fashion, where the first element of the first matrix and a second element of the second matrix are presented to the second MAC unit on a second cycle, and where a second element of the first matrix and the first element of the second matrix are presented to the first MAC unit on the second cycle. Additional MAC units are further configured within the processor in pipelined fashion. Multiply-accumulate operations are executed in pipelined fashion on each of n MAC units over additional k sets of m cycles.
*WC recently emerged from Chapter 11 bankruptcy.
Frangipani
Top 20
Changes are being made.
Big ones
BrainChip Appoints New CMO, Enhances Scientific Advisory Board
LAGUNA HILLS, Calif., August 07, 2024--BrainChip Appoints New CMO, Enhances Scientific Advisory Board
… and small ones, too:
Merci beaucoup et au revoir, Sébastien Crouzet…
… and welcome to another University of Washington summer intern - Justin-Pierre Tremblay!
FNU Sidharth, a Graduate Student Researcher from the University of Washington in Seattle, will be spending the summer as a Machine Learning Engineering Research Intern at BrainChip:
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Bingo!
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-425543
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Kachoo
Regular
If you read his summary he has left the R and D life to a more towards public policy type work.
Interesting change in career is good for people at times.
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