BRN Discussion Ongoing

Dijon101

Regular
Kevin D. Johnson has now trained ten BrainChip AKD1000 neuromorphic chips on Baroque music (feeding them individually with different instrumental works by Johann Sebastian Bach) to jointly play Johann Pachelbel's famous Canon in D, coordinated by IBM Symphony:




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Thats actually pretty cool
 
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You will obviously have to check with your super provider, however i think it's a case of, you can only buy ASX300 companies but if you hold a company that drops out you do not have to sell.
Thanks mate, Ive held for 4 years and want to see the fruits like all of us hopefully
 
As for IBM If they like us they'll just buy us, Big companies dont share thry buy outright
 
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Rach2512

Regular


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Diogenese

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Hi Smoothy,

It looks like the comments may not be sequenced correctly in your post.

From what I can see (screenshot below), when Kieran Ryan asks: "Can you utilise other hardware yet which utilises less power? Maybe something neuromorphic?"

Piednoel responds "No, we avoid any non-deterministic solution, as it is what is used to certify the safety side of our hardware + software. "

Out of curiosity, I asked ChatGPT what it made of that exchange. In summary, it suggested:
  • Neuromorphic architectures are generally considered non-deterministic in behaviour (at least from a safety certification perspective).
  • At this point in time neuromorphic architectures don't meet automotive safety standards (ISO 26262, ASIL) prioritise deterministic, repeatable execution paths.
  • If the system is part of a safety-certified validation layer, engineers would typically avoid architectures that are difficult to formally verify.
  • His mention of a “hardware scheduler” suggests a deterministic co-processor or ASIC approach rather than a neuromorphic one.
ChatGPT reckons it doesn’t necessarily rule neuromorphic out for other parts of a stack in future (5-7 years), but for the safety-certified path he’s describing, it sounds like Piednoel is deliberately avoiding anything that could be perceived as non-deterministic.

I think ChatGPT might be being a bit conservative about the 5-7 year estimate for automotive adoption since Mercedes have commented previously, unless I'm mistaken, that they're looking at 2030 time-frame.

Happy to hear alternative interpretations, but that’s how it reads to me.




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Hi Bravo, @smoothsailing18, Fuz,

M. Piednoel rejected neuromorphic for ADAS as being non-deterministic.

One of the stated objectives of the Raytheon/USAFRL SBIR was to demonstrate deterministic results:

"Confirmation of deterministic outputs from BrainChip neuromorphic hardware is conducted through repeated tests under varied conditions of signal and noise. These tests are compared with conventional processing via modeling and simulation (M&S) environments to ensure repeatability and accuracy."

The stated objective of the project includes ADAS:

"Finally, potential commercial and dual-use neuromorphic applications utilizing BrainChip hardware are identified, with a focus on the defense and aerospace industry, and car manufacturers for ADAS (Advanced Driver-Assist Systems) radar and car-to-car communications. This study serves as a comprehensive framework for the evaluation, validation, and application of neuromorphic hardware and spiking neural networks in RF and radar signal processing, paving the way for future advancements in the aerospace and automotive industries."

As we know, BRN are promoting the commercial use of see-in-the-dark radar as a result of this SBIR.

Also, interesting to see that car-to-car comms has not totally disappeared (even if it was just a thought bubble to fill the blanks in the SBIR application), but, given Kevin's neural orchestra, anything is possible.

I had mentally discounted the ability for Akida to "create" output, believing its capabilities were limited to inference/classification.

What Kevin has done now opens up an entirely new field of possibilities in the "creative" world and in gaming. What Kevin has done is true genius.

Late edition: The ability to create requires cooperation with IBM's Symphony or equivalent.
 
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FuzM

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@Diogenese, the confirmation of deterministic output was one of the things that caught my interest since this was one of the challenges highlighted.

Another is the car-to-car communication which is fairly new apart from the work by SevillaFe Volkswagen research.
 
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IloveLamp

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