BRN Discussion Ongoing

Is the Chinese Deep Seek a threat for Akida??
 

Tothemoon24

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The intelligent vehicle functionalities of the future call for pioneering new algorithms and hardware.

That’s why Mercedes-Benz is researching artificial neural networks that could radically increase the speed and energy efficiency of complex AI computations.

This could revolutionise future driving assistance and safety systems by overcoming the limits of today’s computing hardware.

For instance, conventional computing requires up to 3000 watts for advanced automated driving functions.

In future, neuromorphic computing could do this with just 300 watts, by mimicking the human brain with so-called “event-based processing“.

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ndefries

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The intelligent vehicle functionalities of the future call for pioneering new algorithms and hardware.

That’s why Mercedes-Benz is researching artificial neural networks that could radically increase the speed and energy efficiency of complex AI computations.

This could revolutionise future driving assistance and safety systems by overcoming the limits of today’s computing hardware.

For instance, conventional computing requires up to 3000 watts for advanced automated driving functions.

In future, neuromorphic computing could do this with just 300 watts, by mimicking the human brain with so-called “event-based processing“.

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Good to see Mercedes talking about this again. Hopefully no one bothers them on linkedin.
 
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Cirat

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7für7

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View attachment 76816


The intelligent vehicle functionalities of the future call for pioneering new algorithms and hardware.

That’s why Mercedes-Benz is researching artificial neural networks that could radically increase the speed and energy efficiency of complex AI computations.

This could revolutionise future driving assistance and safety systems by overcoming the limits of today’s computing hardware.

For instance, conventional computing requires up to 3000 watts for advanced automated driving functions.

In future, neuromorphic computing could do this with just 300 watts, by mimicking the human brain with so-called “event-based processing“.

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So….”by mimicking the human brain with so-called “event-based processing“.”

Nothing to see here
 
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RobjHunt

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View attachment 76816


The intelligent vehicle functionalities of the future call for pioneering new algorithms and hardware.

That’s why Mercedes-Benz is researching artificial neural networks that could radically increase the speed and energy efficiency of complex AI computations.

This could revolutionise future driving assistance and safety systems by overcoming the limits of today’s computing hardware.

For instance, conventional computing requires up to 3000 watts for advanced automated driving functions.

In future, neuromorphic computing could do this with just 300 watts, by mimicking the human brain with so-called “event-based processing“.

View attachment 76817 View attachment 76818 View attachment 76819 View attachment 76820
In future, neuromorphic computing could do this with just 300 watts, by mimicking the human brain with so-called “event-based processing“.

There’s no “so called” about it Mr Merc!

Our little nipper does just that, reeeeealy well. Go get em tiger 🤭
 
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genyl

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AI stocks getting hammered today. Get ready for a red day 🫡
 

itsol4605

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AI stocks getting hammered today. Get ready for a red day 🫡
NVIDIA is already having a deep red day.

I don't think it will be red for Brainchip - quite the opposite
 
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AI stocks getting hammered today. Get ready for a red day 🫡
Maybe so, but who is going to be the savior in the end? BrainChip and whoever uses our technology there sp price will only rise, proof is in the pudding after today.
 
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AI stocks getting hammered today. Get ready for a red day 🫡
Hoping to close out your short position today?
 
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cosors

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Off topic, but maybe from general interest:

"Infineon and the BSI pave the way for a quantum-resilient future: World's first Common Criteria Certification for post-quantum cryptography algorithm on a security controller
...
The world's first certification is a milestone on the way to a quantum-safe future in our daily lives."
 
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Tothemoon24

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itsol4605

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AARONASX

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We all know China has in the past stretched the truth about its tech so unsure about DeepSeek, how private is it too?!

Assuming some of the major players in AI that took a hit today know of Brainchip and are under NDAs, they may want to start mentioning Akida re leveraging themselves back, the advantage this time they'll have private, low power AI at the edge. IMO.
 
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Frangipani

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About six months ago, I posted a video which showed that researchers at UC Irvine’s Cognitive Anteater Robotics Laboratory (CARL), led by Jeff Krichmar, had been experimenting with AKD1000 mounted on an E-Puck2 robot.

The April 2024 paper I linked to at the time (“An Integrated Toolbox for Creating Neuromorphic Edge Applications”), co-authored by Lars Niedermeier (Niedermeier Consulting, Zurich) and Jeff Krichmar (UC Irvine), did not yet contain a reference to Akida, but has recently been updated to a newer version (Accepted Manuscript online 22 January 2025). It now has heaps of references to AKD1000 and describes how it was used for visual object detection and classification.

Nikil Dutt, one of Jeff Krichmar’s colleagues at UC Irvine and also member of the CARL team, contributed to this Accepted Manuscript version as an additional co-author.



What caught my eye was that the researchers, who had used an AKD1000 PCIe Board (with an engineering sample chip) as part of their hardware stack, had already gotten their hands on an Akida M.2 form factor as well, even though BrainChip’s latest offering wasn’t officially revealed until January 8th at CES 2025:

“For productive deployments, the Raspberry Pi 5 19 Compute Module and Akida.M2 form factor were used.” (page 9)


Maybe thanks to Kristofor Carlson?




Here are some pages from the Accepted Manuscript version:


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We already knew from the April 2024 version of that paper that…



And finally, here’s a close-up of the photo on page 9:

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Just an afterthought…

Academic research utilising Akida shouldn’t generally be underestimated or dismissed as mere playtime in an ivory tower.

Some of these researchers have excellent connections to big players in the industry and/or to government agencies and sometimes even prior work experience in relevant sectors themselves - hence their recommendations would likely be given quite a bit of weight.

Take Jeff Krichmar👆🏻for example, whose 27 page (!) CV can be found on his LinkedIn profile.


Krichmar’s first job after graduating with a Bachelor in Computer Science (and before going to grad school to pursue his Master’s) was that of a software engineer at Raytheon Corporation (now RTX), working on the PATRIOT surface-to-air missile system - a position, which also saw him become a consultant to the Japanese Self-Defense Forces from 1988-1989, while deployed to Mitsubishi Heavy Industries in Nagoya (which to this day is manufacturing PATRIOT missiles for domestic use under license from RTX and Lockheed Martin).


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Over the years, he has received quite a bit of funding from the defence-related sector, mostly from the US government, but also from Northrop Grumman.

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In 2015 he gave an invited talk at Northrop Grumman…

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… and he was co-author of a paper published in November 2016, whose first author, his then graduate student Tiffany Hwu, was a Basic Research Systems Engineer Intern with Northrop Grumman at the time. (“This work was supported by the National Science Foundation Award number 1302125 and Northrop Grumman Aerospace Systems.”)

The neuromorphic hardware used for the self-driving robot was unsurprisingly IBM’s TrueNorth, as this was then the only neuromorphic chip around - Loihi wasn’t announced until September 2017.

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One of the paper’s other co-authors was a former postdoctoral student of Krichmar’s, Nicolas Oros, who had started working for BrainChip in December 2014 - on his LinkedIn profile it says he was in fact our company’s first employee! He is also listed as co-inventor of the Low power neuromorphic voice activation system and method patent alongside Peter van der Made and Mouna Elkhatib.

Nicolas Oros left BrainChip in February 2021 and is presently a Senior Product Manager at Aicadium, “leading the development of a computer vision SaaS product for visual inspection”. I don’t think we’ve ever looked into them? 🤔

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By the time of said paper’s publication, Jeff Krichmar had become a member of BrainChip’s Scientific Advisory Board - see this link of an April 2016 BRN presentation, courtesy of @uiux:


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As mentioned before, Kristofor Carlson is another of Jeff Krichmar’s former postdoctoral students (from 2011-2015), who co-authored a number of research papers with Jeff Krichmar and Nikil Dutt (both UC Irvine) over the years - the last one published in 2019.

In September, Kris Carlson gave a presentation on TENNs at UC Irvine, as an invited speaker at SAB 2024: From Animals to Animats - 17th International Conference on the Simulation of Adaptive Behavior.

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Kris Carlson’s September 2024 conference talk on TENNs and the CARL lab’s recent video and paper featuring an E-Puck2 robot, which had an Akida PCIe Board mounted on top, as well as the additional info contained in that 22 January 2025 paper that CARL researchers had already experimented with the brand new AKD1000 M.2 form factor is ample evidence that there is continued interest in what BrainChip is doing from Jeff Krichmar’s side.

Academic researchers like him could very well be door openers to people in charge of other entities’ research that will result in meaningful revenue one day…
 

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genyl

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Boab

I wish I could paint like Vincent
In case you missed something. Here is CES in review.
 
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Frangipani

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Speaking of Northrop Grumman:

I am aware that a number of HC and TSE forum users have been speculating about a potential collaboration between NG and BRN for years.

While we still lack concrete evidence of such a collaboration, we know for sure the aerospace and defence giant has done quite a bit of neuromorphic research in recent years (eg. on event-based infrared camera technologies under the DARPA FENCE program - Fast Event-Based Neuromorphic Camera and Electronics; its Phase 2 was set to conclude in June 2024).

However, at least in the case of its UK-based Cyber & Intelligence business, neuromorphic researchers from Northrop Grumman presently appear to be working with SpiNNaker.

I happened to come across this LinkedIn post by a Northrop Grumman UK Senior Sourcing specialist the other day, looking for lead and principal data scientists in Cheltenham (which is home to a thriving cyber security ecosystem) and London:

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https://www.northropgrumman.com/job...cheltenham/r10182322/principal-data-scientist

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Further googling came up with this three month old LinkedIn post about a partnership with the University of Manchester that to me suggests the UK-based NG neuromorphic researchers have likely been working with SpiNNaker (-> Steve Furber’s lab):


https://www.linkedin.com/posts/northrop-grumman-uk_definingpossible-machinelearning-artificialintelligence-activity-7246473905903665152-aDEN?

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