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Sorry my bad that came out 2 weeks ago
ashlietaylor825
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Bravo
If ARM was an arm, BRN would be its biceps💪!
Following @Fullmoonfever’s discovery yesterday of Fernando Sevilla Martinez’s (Data Science Specialist at Volkswagen) recent GitHub project - demonstrating Akida-powered neuromorphic processing for V2X and federated learning prototypes - there may be broader implications worth noting.
This article below, published a month ago, discusses how Verizon is launching its first commercial V2X platform and it has signed on Volkswagen, the Arizona Commerce Authority, the Delaware Department of Transportation and Rutgers University as its first customers.
The article suggests that Volkswagen could possibly incorporate V2X in next year's models.
in August 2024, the Biden administration, announced a plan to deploy V2X nationwide by 2036 which "means that the highways of the near future could be dotted with 5.9 GHz radio transceivers that communicate with cellular radios inside your car and update vehicles as they're driving to prevent accidents."
Verizon has been developing V2X capabilities for some time. In 2022, Verizon and Cisco collaborated on a successful demonstration in Las Vegas where they showed that cellular and mobile edge compute (MEC) technology can enable autonomous driving solutions without the use of physical roadside units to extend radio signals to enable C-V2X communication.
It’s also worth noting that BrainChip and Cisco partnered in 2016, specifically around neuromorphic video-analytics demos via Cisco’s IoE Innovation Center. While not directly connected to current V2X initiatives, that collaboration could become relevant again if neuromorphic approaches gain traction.
brainchip.com
This article below, published a month ago, discusses how Verizon is launching its first commercial V2X platform and it has signed on Volkswagen, the Arizona Commerce Authority, the Delaware Department of Transportation and Rutgers University as its first customers.
The article suggests that Volkswagen could possibly incorporate V2X in next year's models.
in August 2024, the Biden administration, announced a plan to deploy V2X nationwide by 2036 which "means that the highways of the near future could be dotted with 5.9 GHz radio transceivers that communicate with cellular radios inside your car and update vehicles as they're driving to prevent accidents."
Verizon has been developing V2X capabilities for some time. In 2022, Verizon and Cisco collaborated on a successful demonstration in Las Vegas where they showed that cellular and mobile edge compute (MEC) technology can enable autonomous driving solutions without the use of physical roadside units to extend radio signals to enable C-V2X communication.
It’s also worth noting that BrainChip and Cisco partnered in 2016, specifically around neuromorphic video-analytics demos via Cisco’s IoE Innovation Center. While not directly connected to current V2X initiatives, that collaboration could become relevant again if neuromorphic approaches gain traction.
BrainChip and Cisco Internet of Everything Innovation Center Sign Agreement to Demonstrate the Capabilities of BrainChip's Spiking Neural Adaptive Processor (SNAP) Technology
BrainChip and Cisco Internet of Everything Innovation Center Sign Agreement to Demonstrate the Capabilities of BrainChip's Spiking Neural Adaptive Processor (SNAP) Technology December 2, 2016
brainchip.com
Turning this ship around could be seen by some as a daunting task, but one must remain optimistic, having been in contact with our CTO a few days ago, I can reassure many here that Tony is working hard with our excellent scientists, engineers and leadership team in trying to secure us a win or two later in 2025, I'm guessing at the backend or early 2026, though nothing is guaranteed remember.
Tony's appointment back in 2023 was a win for all of us, I'm very happy with his approach and optimism towards delivering technical success to us all and I get the feeling he is a realist, he knows nothings guaranteed, no matter how good the technology is, it's the client who makes that ultimate decision to commit.
That has been the challenge ever since TSMC delivered our first batch of AKD 1000 NSOC's, the first run was an outstanding success, the technology has (finally) been accepted as brilliant, but the truth will be in the signing of IP deals over the next 1-3 years in my view.
Aren't we getting a 20 million AUD cash injection at the end of this month by way of LDA Capital, or have I got my dates mixed up?
Regards.........Tech.
Tony's appointment back in 2023 was a win for all of us, I'm very happy with his approach and optimism towards delivering technical success to us all and I get the feeling he is a realist, he knows nothings guaranteed, no matter how good the technology is, it's the client who makes that ultimate decision to commit.
That has been the challenge ever since TSMC delivered our first batch of AKD 1000 NSOC's, the first run was an outstanding success, the technology has (finally) been accepted as brilliant, but the truth will be in the signing of IP deals over the next 1-3 years in my view.
Aren't we getting a 20 million AUD cash injection at the end of this month by way of LDA Capital, or have I got my dates mixed up?
Regards.........Tech.
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Pom down under
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Well trying just isnt good enough as we all just want results.Turning this ship around could be seen by some as a daunting task, but one must remain optimistic, having been in contact with our CTO a few days ago, I can reassure many here that Tony is working hard with our excellent scientists, engineers and leadership team in trying to secure us a win or two later in 2025, I'm guessing at the backend or early 2026, though nothing is guaranteed remember.
Tony's appointment back in 2023 was a win for all of us, I'm very happy with his approach and optimism towards delivering technical success to us all and I get the feeling he is a realist, he knows nothings guaranteed, no matter how good the technology is, it's the client who makes that ultimate decision to commit.
That has been the challenge ever since TSMC delivered our first batch of AKD 1000 NSOC's, the first run was an outstanding success, the technology has (finally) been accepted as brilliant, but the truth will be in the signing of IP deals over the next 1-3 years in my view.
Aren't we getting a 20 million AUD cash injection at the end of this month by way of LDA Capital, or have I got my dates mixed up?
Regards.........Tech.
See below Tony's linked in response to a query. Tony says more to come.
Tony said: " Well, I hope this is just step one in series of news from the CTO and engineering teams coming out over the summer. We have a lot of stuff that is in the pipeline and this is a small part of it."
His comment above was in repose to a query on his post:
"Modern RF systems—from drones to CubeSats—face tough constraints: size, weight, power, and cooling. Traditional AI models just don’t cut it at the edge.
See below and the post on linked in.
In our latest blog, we explore how BrainChip’s TENN (Temporal Event-Based Neural Network) offers a breakthrough in modulation classification, combining real-time performance with ultra-low power operation—without sacrificing accuracy."
www.linkedin.com
Tony, was this what the poem was about? Is this the big news?
2w
Philip Dodge Well, I hope this is just step one in series of news from the CTO and engineering teams coming out over the summer. We have a lot of stuff that is in the pipeline and this is a small part of it.
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Tony said: " Well, I hope this is just step one in series of news from the CTO and engineering teams coming out over the summer. We have a lot of stuff that is in the pipeline and this is a small part of it."
His comment above was in repose to a query on his post:
"Modern RF systems—from drones to CubeSats—face tough constraints: size, weight, power, and cooling. Traditional AI models just don’t cut it at the edge.
See below and the post on linked in.
In our latest blog, we explore how BrainChip’s TENN (Temporal Event-Based Neural Network) offers a breakthrough in modulation classification, combining real-time performance with ultra-low power operation—without sacrificing accuracy."
LinkedIn Login, Sign in | LinkedIn
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M Anthony Lewis • Following
CTO@BrainChip | AI, Robotics, Disruptive Computing2w
Philip Dodge Well, I hope this is just step one in series of news from the CTO and engineering teams coming out over the summer. We have a lot of stuff that is in the pipeline and this is a small part of it.
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Frangipani
Top 20
By the way, Akida does get a mention in the above paper “Spiking neural networks for autonomous driving: A review”, which was first submitted to Elsevier in May 2024 (around the same time when I first noticed Raúl Parada Medina liking BrainChip posts) and then resubmitted in a revised version in August 2024. It was then published online on 21 October 2024.
Apparently the three co-authors of first author Fernando Sevilla Martínez didn’t contribute much themselves to the paper; instead their role was a supervisory one.
“CRediT authorship contribution statement
Fernando S. Martínez: Writing – review & editing, Writing – original draft, Investigation.
Jordi Casas-Roma: Supervision.
Laia Subirats: Supervision.
Raúl Parada: Supervision”
(…)
(…)
Note that Fernando Sevilla Martínez not only works at the Volkswagen Group headquarters in Wolfsburg/Germany, but is also affiliated with the e-Health Center at his alma mater Universitat Oberta de Catalunya (UOC) in Barcelona.
So IMO there is a fair chance that he or his colleagues there will also experiment with Akida in the field of digital health, eg. in a hospital setting.
From the GitHub @Fullmoonfever had discovered:
“Acknowledgements
This implementation is part of a broader effort to demonstrate low-cost, energy-efficient neuromorphic AI for distributed and networked edge environments, particularly leveraging the BrainChip Akida PCIe board and Raspberry Pi 5 hardware.”eHealth Center
Find out all about the UOC's eHealth Center, a leader in e-health. Find relevant and up-to-date information on the centre specialized in digital health
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Bravo
If ARM was an arm, BRN would be its biceps💪!
Following @Fullmoonfever’s discovery yesterday of Fernando Sevilla Martinez’s (Data Science Specialist at Volkswagen) recent GitHub project - demonstrating Akida-powered neuromorphic processing for V2X and federated learning prototypes - there may be broader implications worth noting.
This article below, published a month ago, discusses how Verizon is launching its first commercial V2X platform and it has signed on Volkswagen, the Arizona Commerce Authority, the Delaware Department of Transportation and Rutgers University as its first customers.
The article suggests that Volkswagen could possibly incorporate V2X in next year's models.
in August 2024, the Biden administration, announced a plan to deploy V2X nationwide by 2036 which "means that the highways of the near future could be dotted with 5.9 GHz radio transceivers that communicate with cellular radios inside your car and update vehicles as they're driving to prevent accidents."
Verizon has been developing V2X capabilities for some time. In 2022, Verizon and Cisco collaborated on a successful demonstration in Las Vegas where they showed that cellular and mobile edge compute (MEC) technology can enable autonomous driving solutions without the use of physical roadside units to extend radio signals to enable C-V2X communication.
It’s also worth noting that BrainChip and Cisco partnered in 2016, specifically around neuromorphic video-analytics demos via Cisco’s IoE Innovation Center. While not directly connected to current V2X initiatives, that collaboration could become relevant again if neuromorphic approaches gain traction.
View attachment 88451
BrainChip and Cisco Internet of Everything Innovation Center Sign Agreement to Demonstrate the Capabilities of BrainChip's Spiking Neural Adaptive Processor (SNAP) Technology
BrainChip and Cisco Internet of Everything Innovation Center Sign Agreement to Demonstrate the Capabilities of BrainChip's Spiking Neural Adaptive Processor (SNAP) Technology December 2, 2016
In addition to the above, we also have the following snippet...
Frangipani
Top 20
Just to give you an idea what diverse topics Raúl Parada Medina has been working on over the past two years:
Frangipani
Top 20
I believe this confirmation of an “active alliance” with BrainChip is new on the Tata Elxsi website?
“Why Tata Elxsi?
(…)
- Active alliances with Brainchip for neuromorphic computing and IISc Bangalore for edge cybersecurity.”
Edge AI Solutions for Smarter Devices and Applications
Edge AI solutions optimize device performance with low-latency, secure AI processing. Explore its impact on industries like healthcare, retail, and electronics.www.tataelxsi.com
View attachment 88392
View attachment 88393 View attachment 88394 View attachment 88395
View attachment 88398 View attachment 88399
Despite our years of collaboration with TCS researchers and the above encouraging affirmation of an “active alliance” with Tata Elxsi, we should not ignore that TCS are also exploring other neuromorphic options for what will ultimately be their own clients.
And while a number of TCS patents do refer to Akida as an example of a neuromorphic processor that could be utilised, they always also refer to Loihi, as far as I’m aware of.
A recent case in point for Tata Consultancy Research’s polyamory is the June 2025 paper “The Promise of Spiking Neural Networks for Ubiquitous Computing: A Survey and New Perspectives”, co-authored by five Singapore Management University (SMU) researchers as well as Sounak Dey and Arpan Pal from TCS, both very familiar names to regular readers of this forum.
Although we know those two TCS researchers to be fans of Akida, they sadly did not express a preference for BrainChip’s neuromorphic processor over those from our competitors in below paper published less than six weeks ago.
On the contrary, in their concluding “key takeaway” recommendations of neuromorphic hardware (“We make the following recommendations for readers with different needs considering neuromorphic hardware chipsets”), the seven co-authors do not even mention Akida at all.
Even more surprisingly, the section on Akida is factually incorrect:
- AKD1500 is a first generation reference chip and is not based on Akida 2.0, BrainChip’s second generation platform that supports TENNs and vision transformers.
- An AKD2000 reference chip does not (yet) exist - it may or may not materialise. At present, only Akida 2.0 IP is commercially available - not an actual silicon chip, as claimed by the paper’s authors.
- The paper is in total ignorance of ultra-low-power Akida Pico, operating on less than 1mW of power, which was revealed by our company back in October 2024 and is based on Akida 2.0.
It is highly unlikely this (possibly revised) version of the paper published on 1 June 2025 would have been submitted to arXiv prior to BrainChip’s announcement of Akida Pico, and we can safely assume Sounak Dey and Arpan Pal would have been aware of that October 2024 BrainChip announcement (unlike maybe their SMU co-authors).
One could argue the reason Akida Pico is not mentioned could possibly be that an actual Akida Pico chip is not commercially available, yet, given the authors state
“5.2 Neuromorphic Hardware
In this subsection, we summarize the latest commercially available neuromorphic hardware chipsets, highlighting their capabilities and development support for building and deploying spiking neural networks.”,
which, however, in turn begs the question, why Loihi 2 is listed, then, as it was always conceptualised as a research chip and is not commercially available. In the paragraph on Loihi 2, the authors correctly state that “this neuromorphic research chipset is available only through the Intel Neuromorphic Research Community (INRC).”
Given the fact that Sounak Dey and Arpan Pal co-authored this paper, the above inaccuracies are bewildering, to say the least. Did the two TCS researchers who both have firsthand experience with Akida contribute to only part of this paper and not proofread the final version before it was submitted?
Either way not a good look…
(…)
(…)
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Please excuse if already posted.
www.electronicdesign.com
Delivering Neuromorphic Computing to Embedded Systems
BrainChip’s Akida platform uses spiking neural networks for low-power operation.
It’s been so quiet from the company side lately…
Almost eerie.
I’m starting to think they’re mad at us and just don’t want to talk anymore…
Fine. I’ll go first:
Dear BrainChip, we’re sorry.
We’re sorry for asking so much of you.
Sorry for being stressed out that the share price is still stuck in traffic.
But try to understand us, too:
We paid out of our own pockets. No insider bonuses. No free millions of shares. Just hope, patience… and a sprinkle of desperation.
So let’s just move on, shall we?
After all – philosophically speaking – we’re just artificial intelligence too.
(Emotional beta version, though.)
Almost eerie.
I’m starting to think they’re mad at us and just don’t want to talk anymore…
Fine. I’ll go first:
Dear BrainChip, we’re sorry.
We’re sorry for asking so much of you.
Sorry for being stressed out that the share price is still stuck in traffic.
But try to understand us, too:
We paid out of our own pockets. No insider bonuses. No free millions of shares. Just hope, patience… and a sprinkle of desperation.
So let’s just move on, shall we?
After all – philosophically speaking – we’re just artificial intelligence too.
(Emotional beta version, though.)
I keep thinking of beta or blackberry. I just hope we are vhs or iphone.
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disclaimer: this is me dreaming and completely made up…..but I wonderThe latest press release from BrainChip has shed light on their innovative approach to addressing the long-standing Size, Weight, Power, and Cooling (SWaP‑C) challenge, particularly in radar and RF… | Philip Dodge
The latest press release from BrainChip has shed light on their innovative approach to addressing the long-standing Size, Weight, Power, and Cooling (SWaP‑C) challenge, particularly in radar and RF modulation classification. For professionals engaged in real-time signal processing within...
Sorry of already posted.
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