BRN Discussion Ongoing

[Bravo]

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.

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https://www.fierce-network.com/wireless/verizon-gets-road-v2x

https://www.fierce-network.com/tech/cisco-verizon-apply-mec-c-v2x-removing-costly-roadside-radios?utm_source=chatgpt.com

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

In addition to the above, we also have the following snippet...

https://brainchip.com/wp-content/uploads/2017/05/05_03_17-BRN-WebEx-Presentation.pdf

 

[Frangipani]

Keep in mind that Raúl Parada Medina has a telecommunications background and works as a Senior Researcher for CTTC in Castelldefels near Barcelona, the Centre Tecnològic de Telecomunicacions de Catalunya.

So when he describes himself as an “IoT research specialist within the connected car project at a Spanish automobile manufacturer”, the emphasis is on “connected” rather than on “automobile”. Therefore, any upcoming research projects may not involve cars at all.

Just to give you an idea what diverse topics Raúl Parada Medina has been working on over the past two years:

https://ezywureyi7i.exactdn.com/wp-content/uploads/2024/01/d8_cttc_sai-brokeragesns_20240125_parada.pdf

https://www.mdpi.com/journal/sensors/special_issues/mmWave_5G

https://mdpi-res.com/d_attachment/sensors/sensors-24-07223/article_deploy/sensors-24-07223-v2.pdf?version=1731481397

An Open and Intelligent Framework for 6G Smart Networks and Services – Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)

www.cttc.cat

https://arxiv.org/pdf/2504.07163v1

https://arxiv.org/pdf/2504.07262v1

https://arxiv.org/pdf/2504.05071

https://www.mdpi.com/journal/sensors/special_issue_flyer_pdf_v2/6974XU8K81

 

[Frangipani]

I believe this confirmation of an “active alliance” with BrainChip is new on the Tata Elxsi website?

“Why Tata Elxsi?

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• 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

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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 nor 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…

https://arxiv.org/pdf/2506.01737v1

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