BRN Discussion Ongoing

[Frangipani]

Could one of our German friends please have a look at this video posted 4 mths ago to do with MB and includes neuromorphic but I can't figure out translation for it....other than the title etc.

I don't believe I could pickup Akida or BRN directly but maybe / hopefully a German review may shed additional light?

TIA.

Dr. Dominic Blum, Artificial Intelligence Research at Mercedes Benz AG, reports on the developments at Mercedes on the topic of autonomous driving and assisted driving. In detail:
Driving assistance systems/Sensors
Sensor Action Integration of AI into the active chain
Problems: Energy consumption & Latency
Possible solutions: Neuromorphic computing (NMC), NMC in the active chain, event-based cameras, spiking neural networks

Hi @Fullmoonfever,

FYI: I already posted in detail about Dominik Blum’s presentation back in October:

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-439352

Here are two excerpts:

“(…) There was one slide that showed - amongst other things - various brands of neuromorphic hardware (ABR, BrainChip, Innatera, Intel, SynSense), including Akida 1.0 and 2.0, but none was mentioned by name. Same with the slide showing the EQXX: there was merely mention of the voice assistant’s keyword spotting having been realised on “a neuromorphic chip”, which was said to have considerably improved this function’s energy efficiency.

(…) To me the gist was that while MB considers neuromorphic computing a very promising technology regarding gains in energy efficiency (which will become more and more important on the path towards cars becoming fully autonomous), they are still at a very early stage of research - Dominik Blum literally said so. There you go, you heard it from the horse’s mouth. So don’t expect neuromorphic technology in any MB serial production cars in the near future. At least that’s what I took away from that presentation (…).”


Have a good weekend

Frangipani

 

[Frangipani]

View attachment 90763 View attachment 90764
Wow!


No idea

From 13:13 min: “biking new Networks”

Although I can understand why the automatic YouTube transcript mistakenly recorded Dominik Blum’s “neural” as “new”, he very clearly (and correctly) says “Spiking Neural Networks” at 13:15 min.

 

[Diogenese]

So yes to my humble opinion we’re with Merc for sure

Could be!
Who knows?
There's something due any day
I will know right away
Soon as it shows

 

[Pom down under]

 

[CHIPS]

Would you rather a ChaptGPT thread or a @Frangipani thread ......I know what I would prefer.......selfless people sharing their own amazing in-depth validated research or a thread based on ChatGPT or other baseless rubbish.....????

Thank you. I do not read the ChatGPT posts anymore, I just scroll down to the next post.

Finding new information with it is fine, but constantly posting the whole lot and hoping it is right is just annoying. Bravo said a few days ago that she does not have the technical background to judge the results. Why post it then? I rather read real research instead of good guesses.

 

[IloveLamp]

View attachment 90763 View attachment 90764
Wow!


No idea

@Fullmoonfever

 

[IloveLamp]

#imagine2025 #edgeai #brainchip #akida #edgeimpulse | Edge Impulse (a Qualcomm company)

🧠 BrainChip is uniquely integrated with Edge Impulse to train models for their Akida platform. At Imagine 2025, BrainChip will showcase: -Edge Impulse out-of-the-box demo models running on the Akida AKD1500 and Akida FPGA development platforms -One-of-a-kind models developed by BrainChip’s...

www.linkedin.com

Imagine 2025 - The conference for edge AI

Join us for the premier edge AI event for the real world, with presentations and demonstrations from top technology leaders and innovators.

edgeimpulse.com

 

[Bravo]

Thank you. I do not read the ChatGPT posts anymore, I just scroll down to the next post.

Finding new information with it is fine, but constantly posting the whole lot and hoping it is right is just annoying. Bravo said a few days ago that she does not have the technical background to judge the results. Why post it then? I rather read real research instead of good guesses.

Rude.

You know there's nothing stopping you from contributing your own research here, instead of just playing town critic.

What both you and @TheDrooben seem to have missed is that I posted an excerpt from an article that nobody else had picked up on, which is what formed the basis of my ChatGPT query. Ironically, that post itself was in response to a comment about ChatGPT being “useless,” to show how it can be used in a constructive way.

The excerpt I shared highlighted Arm stating the Mali GPU and AI accelerator are “optional” in their latest platform. That’s a critical point, because it means chipmakers can slot in whichever accelerator they choose.

So far, nobody else has discussed this or Arm’s Zena platform and I’ve been trying to connect the dots

In a previous post #83,058, I commented on Renee Hass (Arm's CEO) being asked whether Arm would consider making its own accelerator, and how that ties into this more recent “optional accelerator” comment.

Likewise, in another previous post #83,075, I pointed out how Paul Williamson (Senior Vice President and General Manager, IoT Line of Business) also hinted about Arm potentially needing a higher-performance NPU.

The interesting angle for me is whether Arm might be weighing RTL versus chiplet integration for Akida/TENNs. That’s what I’m trying to get at, even if I lack the technical depth to do all the heavy lifting myself.

Thanks to ChatGPT, I’ve learned that AI accelerators can be integrated as a) RTL blocks in a monolithic SoC, or b) they can be dropped in as chiplets using frameworks like CSA/UCIe.

ChatGPT is also helping me to ascertain how Akida/TENNs could slot into that optional accelerator role, either as a companion block alongside Ethos-U85/M85, or a chiplet via Arm’s ecosystem. And how Akida 2 + TENNs versus Akida 3 + TENNs might fit into Arm’s longer-term chiplet ambitions.

That’s the line of thinking behind my posts. If it’s not appreciated, fair enough. Maybe I should just keep my research to myself.

 

[smoothsailing18]

Rude.

You know there's nothing stopping you from contributing your own research here, instead of just playing town critic.

What both you and @TheDrooben seem to have missed is that I posted an excerpt from an article that nobody else had picked up on, which is what formed the basis of my ChatGPT query. Ironically, that post itself was in response to a comment about ChatGPT being “useless,” to show how it can be used in a constructive way.

The excerpt I shared highlighted Arm stating the Mali GPU and AI accelerator are “optional” in their latest platform. That’s a critical point, because it means chipmakers can slot in whichever accelerator they choose.


View attachment 90791




So far, nobody else has discussed this or Arm’s Zena platform and I’ve been trying to connect the dots

In a previous post #83,058, I commented on Renee Hass (Arm's CEO) being asked whether Arm would consider making its own accelerator, and how that ties into this more recent “optional accelerator” comment.

Likewise, in another previous post #83,075, I pointed out how Paul Williamson (Senior Vice President and General Manager, IoT Line of Business) also hinted about Arm potentially needing a higher-performance NPU.

The interesting angle for me is whether Arm might be weighing RTL versus chiplet integration for Akida/TENNs. That’s what I’m trying to get at, even if I lack the technical depth to do all the heavy lifting myself.

Thanks to ChatGPT, I’ve learned that AI accelerators can be integrated as a) RTL blocks in a monolithic SoC, or b) they can be dropped in as chiplets using frameworks like CSA/UCIe.

ChatGPT is also helping me to ascertain how Akida/TENNs could slot into that optional accelerator role, either as a companion block alongside Ethos-U85/M85, or a chiplet via Arm’s ecosystem. And how Akida 2 + TENNs versus Akida 3 + TENNs might fit into Arm’s longer-term chiplet ambitions.

That’s the line of thinking behind my posts. If it’s not appreciated, fair enough. Maybe I should just keep my research to myself.

Nooooo please don't do that Bravo. I very much appreciate your help in searching for us brn possible opportunities . Don't let the dribble from some get in the way of great research.

 

[JB49]

#imagine2025 #edgeai #brainchip #akida #edgeimpulse | Edge Impulse (a Qualcomm company)

🧠 BrainChip is uniquely integrated with Edge Impulse to train models for their Akida platform. At Imagine 2025, BrainChip will showcase: -Edge Impulse out-of-the-box demo models running on the Akida AKD1500 and Akida FPGA development platforms -One-of-a-kind models developed by BrainChip’s...

www.linkedin.com

Imagine 2025 - The conference for edge AI

Join us for the premier edge AI event for the real world, with presentations and demonstrations from top technology leaders and innovators.

edgeimpulse.com

View attachment 90786

Thanks Lamp! I was a bit worried when Qualcomm first acquired edge impulse NS their website section on Brainchip said something along the lines of it no longer being available (can't remember the exact wording - I posted it on here a while back).

I was on Edge Impulse website about 2 weeks ago, and it still had the exact same comment. But I've checked out on the Edge Impulse website today, which seems to have been updated with a new layout, and that note on Brainchip is now gone. https://edgeimpulse.com/ecosystem-partners/brainchip

And based on todays announcement, it looks as though the relationship is alive and well!