BRN Discussion Ongoing

[Tothemoon24]

Would luv to buy this bloke a beer

Many small and even huge companies have not yet heard of BrainChip Akida and therefore do not yet know the enormous potential that Akida has.

Even companies like Microsoft are still stuck with outdated and power-hungry technology that uses graphics processors to realize artificial intelligence.
The outdated method used there to realize intelligence has nothing to do with the enormous performance of biological brains.

Even crazier:
Microsoft is currently trying to get approval to restart a decommissioned nuclear power plant. The nuclear power plant will only be used to power outdated, power-hungry AI technology.

It is time for large companies to also get involved with modern technologies.

BrainChip Akida is contemporary and future-oriented.

It requires only a tiny amount of electricity to awaken the enormous power of neuromorphic intelligence.

Soon Akida will serve people in everyday devices and indispensable helpers.

A hearing aid that detects and amplifies the human voice in real time from a mix of noise and human voices.

This is something people who rely on hearing aids have been hoping for for ages - now the technology is here, and it's all cloud-free.

 

[CHIPS]

I can take your words to mean that there is nothing for you to celebrate about the German reunification and it was today just a free day for you.

Oh, I celebrated it when it happened, but this is so long ago now, that it is now just a normal free day to most people. By the way, yes, it was a day to celebrate, but it also brought along many costly years to follow for those from the West of paying high extra monthly taxes. So it is understandable that the East celebrates it more than the West.

 

[Evermont]

Edge AI also flagged by Tata Elxsi Transportation as a key tech for vehicle interaction.

Customer Experiences Enhanced with Vehicle Health Management and In-Car Entertainment - Tata Elxsi

Discover how AI-powered vehicle health management and personalized in-car entertainment systems are revolutionizing the automotive industry, enhancing efficiency and user experience.

ai.tataelxsi.com

Technologies Revolutionising Vehicle Interaction​

Several technologies are set to revolutionise the way we interact with our vehicles. Edge AI, for instance, allows for real-time processing of data within the vehicle, reducing the need for cloud-based computation and enabling faster response times. This is particularly useful for applications like voice-activated controls and real-time diagnostics.

 

[supersonic001]

#design #reuse #brainchip #akida #neuromorphic #intelligence | Thomas Hülsing

Design And Reuse most popular news: BrainChip Introduces Lowest-Power AI Acceleration Co-Processor BrainChip today introduced the Akida™ Pico, the lowest power acceleration co-processor that enables the creation of very compact, ultra-low power, portable and intelligent devices for wearable...

www.linkedin.com

 

[Frangipani]

This recently published article is worth the read. Quite a few experiments completed with Akida, Loihi 2 & DynappCNN. Akida appears to outperform on most.

Detection of Fast-Moving Objects with Neuromorphic Hardware

New article comparing Akida to Loihi2. the entire article is worth the read as it. Compares power usage and speed across both platforms

Detection of Fast-Moving Objects with Neuromorphic Hardware

Extract :-
For Loihi2, we did not have direct access to an edge device, but only through a virtual machine provided by Intel via the Intel Neuromorphic Research Community8. With this Loihi2 setup, the time per forward pass is with 1458.57ms two orders of magnitude slower than the other devices. This is mainly due to inefficient communication between the virtual machine and the Loihi2 chip, which is a consequence of our current implementation not being well optimized in this regard. Note that the inference time on the GPU is longer than on all neuromorphic edge devices, however, the good hardware integration of the GPU shows its advantage.

A video going along with that paper was uploaded to YouTube yesterday:



Both paper and video relate to another paper and video published by the same Uni Tübingen authors earlier this year. At a cursory glance, at least the videos (posted about six months apart) appear to be VERY similar:

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-416900

Now compare the slides to those in the video uploaded October 3:

In fact, when I just tried to cursorily compare the new paper to the March 15 paper that @Fullmoonfever had linked at the time (https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-416313), I discovered that the link he had posted then now connects directly to this new paper, published on September 16, so it seems to be an updated version of the previous paper.

I did notice the addition of another co-author, though: Sebastian Otte, who used to be a PhD student and postdoc at Uni Tübingen (2013-2023) and became Professor at Uni Lübeck’s Institute for Robotics and Cognitive Systems just over a year ago, where he heads the Adaptive AI research group.

To put the results that our competitors’ neuromorphic offerings fared worse in the benchmarking tests alongside Akida somewhat into perspective:
In all fairness, it should be highlighted that Akida’s superiority was at least partly due to the fact that AKD1000 is available as a PCIe Board, whereas SynSense’s DynapCNN was connected to the PC via USB and - as the excerpt Gazzafish already posted shows - the researchers did not have direct access to a Loihi 2 edge device, but merely through a virtual machine provided by Intel via their Neuromorphic Research Cloud. The benchmarking would obviously yield better comparable results if the actual hardware used were of a similar form factor:

“Our results show that the better a neuromorphic edge device is connected to the main compute unit, e.g., as a PCIe card, the better the overall run-time.”


Anyway, Akida undoubtedly impressed the researchers, and as a result they are considering further experiments: “(…) future work could involve evaluating the system with an additional Akida PCIe card.”

---

In an earlier post (https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-426404), I had already mentioned that the paper’s first author, Andreas Ziegler, who is doing a PhD in robotics and computer vision at Uni Tübingen, has meanwhile completed his internship at Sony AI in Switzerland (that - as we know - partially funded the paper’s research):

Fun fact: One of his co-authors, Karl Vetter, however, is no longer with Uni Tübingen’s Cognitive Systems Lab, but has since moved to France, where he has been working as a research engineer for…

Neurobus for the past three months!
It’s a small world, isn’t it?!

 

[manny100]

For those worry warts, if there are any in this forum Sean and Tony (chairman) are well aware of holder concerns about the time it is taking to complete deals.
Sean addressed from the 34 minute point of the AGM the time it takes to do deals and why he is optimistic and confident.
If you want a 'lift' have a look and listen.
These issues were also addressed later in Question time.

 

[Tothemoon24]

More great exposure this time from the well respected Toms Hardware , seems to be some more detail amongst this read

BrainChip unveils AI NPU that consumes less than a milliwatt

Low-power AI for low-power devices.

www.tomshardware.com

 

[Food4 thought]

Everyone who worked with akida have the same opinion but still so long to get market acceptance.

It’s only starting to get noticed now
Yes it’s taken years but soon everyone will want in.
And what a shame if you missed the train or bus when it leaves the station
Hope you have your tickets.

 

[CHIPS]

A video going along with that paper was uploaded to YouTube yesterday:



Both paper and video relate to another paper and video published by the same Uni Tübingen authors earlier this year. At a cursory glance, at least the videos (posted about six months apart) appear to be VERY similar:

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-416900


View attachment 70372
View attachment 70373


Now compare the slides to those in the video uploaded October 3:

View attachment 70368


View attachment 70369

View attachment 70370

In fact, when I just tried to cursorily compare the new paper to the March 15 paper that @Fullmoonfever had linked at the time (https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-416313), I discovered that the link he had posted then now connects directly to this new paper, published on September 16, so it seems to be an updated version of the previous paper.

I did notice the addition of another co-author, though: Sebastian Otte, who used to be a PhD student and postdoc at Uni Tübingen (2013-2023) and became Professor at Uni Lübeck’s Institute for Robotics and Cognitive Systems just over a year ago, where he heads the Adaptive AI research group.

To put the results that our competitors’ neuromorphic offerings fared worse in the benchmarking tests alongside Akida somewhat into perspective:
In all fairness, it should be highlighted that Akida’s superiority was at least partly due to the fact that AKD1000 is available as a PCIe Board, whereas SynSense’s DynapCNN was connected to the PC via USB and - as the excerpt Gazzafish already posted shows - the researchers did not have direct access to a Loihi 2 edge device, but merely through a virtual machine provided by Intel via their Neuromorphic Research Cloud. The benchmarking would obviously yield better comparable results if the actual hardware used were of a similar form factor:

“Our results show that the better a neuromorphic edge device is connected to the main compute unit, e.g., as a PCIe card, the better the overall run-time.”


Anyway, Akida undoubtedly impressed the researchers, and as a result they are considering further experiments: “(…) future work could involve evaluating the system with an additional Akida PCIe card.”


View attachment 70374

---

In an earlier post (https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-426404), I had already mentioned that the paper’s first author, Andreas Ziegler, who is doing a PhD in robotics and computer vision at Uni Tübingen, has meanwhile completed his internship at Sony AI in Switzerland (that - as we know - partially funded the paper’s research):

View attachment 70375


Fun fact: One of his co-authors, Karl Vetter, however, is no longer with Uni Tübingen’s Cognitive Systems Lab, but has since moved to France, where he has been working as a research engineer for…

Neurobus for the past three months!
It’s a small world, isn’t it?!

View attachment 70376
View attachment 70377

Thank you so much for all the time and effort you put into your research. It must be a lot of work.

 

[GazDix]

Brainchip really need to release a good news story on asx to have and capture the good news stories in the media or we will be going backwards again
Down down the s p is down

Just bury this idea already.

Obviously the only communications via ASX will be price sensitive Ann's involving quarterlys, patents and hopefully a few juicy contacts.

Our run in Jan 2023 with the Mercedes news involved no ASX announcements at all.

I find it slightly ironic that those invested in an AI company can't work out how to sign up to an X account, search for Brainchip and follow the company.

Looks like our marketing and product team have come out with a strategy the market likes. Good move at the right time.

 

[IloveLamp]

 

[Dijon101]

Just bury this idea already.

Obviously the only communications via ASX will be price sensitive Ann's involving quarterlys, patents and hopefully a few juicy contacts.

Our run in Jan 2023 with the Mercedes news involved no ASX announcements at all.

I find it slightly ironic that those invested in an AI company can't work out how to sign up to an X account, search for Brainchip and follow the company.

Looks like our marketing and product team have come out with a strategy the market likes. Good move at the right time.

Mercedes was 2021 dude.

 

[MDhere]

Mercedes was 2021 dude.

Slight correction i believe it was January 2022 cause I was overseas at the time it occured.

 

[rgupta]

Just looking at brainchip shop for edge box.
The new price $1495 per unit. Let us see how much revenue can be generated from that.
I assume the 1st price was $700 per unit.

 

[TECH]

Search results for AKIDA PICO | Search | Tom's Hardware

www.tomshardware.com

Nice article out overnight....the post I put up yesterday about Intel, it's almost as if Steve Brightfield had to defend our position in
offsetting Mike Davies comments, would the journalist have to get permission from Mike to include his comments within our news story ?
I wonder, anyway....moving right along.

Good morning.....Tech.

 

[buena suerte :-)]

Slight correction i believe it was January 2022 cause I was overseas at the time it occured.

100% it was Jan 2022

 

[DingoBorat]

Just looking at brainchip shop for edge box.
The new price $1495 per unit. Let us see how much revenue can be generated from that.
I assume the 1st price was $700 per unit.

Seems like they are trying to restrict demand, possibly due to the limited supply of chips?

Tony said in an email, that it was hoped demand would encourage VVDN to place an order, for the production of more..

That's something, that would need to be announced, as it would be a material amount, or perhaps not, if BrainChip was bearing the initial cost and it was profit sharing on sales?..

 

[rgupta]

Seems like they are trying to restrict demand, possibly due to the limited supply of chips?

Tony said in an email, that it was hoped demand would encourage VVDN to place an order, for the production of more..

That's something, that would need to be announced, as it would be a material amount, or perhaps not, if BrainChip was bearing the initial cost and it was profit sharing on sales?..

Just hoping we need not kill the demand even before a start !!!
Could not believe what management is expecting here and what type of relationships we have with our partners. Last year it was the top talking point from brainchip management and then we found out it will not the coming until end of this year and now a price increase of more than 110%.
I am really worried about another failed project from team brainchip.
Fingers crossed !!!

 

[7für7]

Just hoping we need not kill the demand even before a start !!!
Could not believe what management is expecting here and what type of relationships we have with our partners. Last year it was the top talking point from brainchip management and then we found out it will not the coming until end of this year and now a price increase of more than 110%.
I am really worried about another failed project from team brainchip.
Fingers crossed !!!

Actually you have a different view of what happens at the moment I would guess…. What I see is not a failing of our projects, it’s move an improvement and further development of the technology. The fact is, in our field, technology seems to be advancing explosively, almost on a weekly basis… You can’t stand still. And what’s wrong with expanding your range? That way, you can attract even more potential customers. I don’t see anything negative about it. On the contrary, it would be dramatic if we only offered one product.

 

[Dijon101]

100% it was Jan 2022

Yup got my dates wrong. Knew it was about 3 years ago now, as I'd just started dating my now fiance. I know this because I started spending WAY to much money on dates and upgrading all my furniture thinking we'd made it. Been paying off my credit card ever since