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7für7

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Think we must be losing our dot joining skills....this release beginning of Dec shows DeGirum already supporting our Akida :oops::rolleyes:

I also found it interesting that DeGirum use M.2 form factor with Orca and now we've said we're doing M.2 :unsure:


DeGirum Delivers Industry's First Hardware-Agnostic PySDK - Simplifies Edge AI Development​


News provided by​

DeGirum Corp.
Dec 03, 2024, 07:00 ET


Focused on Vision Processing, Industrial, Automotive, and Smart Retail Applications Development

SANTA CLARA, Calif., Dec. 3, 2024 /PRNewswire/ -- DeGirum®, a leader in edge AI, announced the release of its hardware-agnostic PySDK, designed to streamline AI development at the edge. DeGirum's PySDK provides a unified software stack that allows developers to add AI to any application with just two lines of code. PySDK supports a wide range of hardware:

Accelerators
  • NVIDIA® GPUs
  • Hailo®
  • MemryX®
  • Google® Edge TPU
  • BrainChip®
Application Processors
  • Intel®
  • AMD®
  • Texas Instruments®
  • NXP®
  • Rockchip®
  • Raspberry Pi®
To understand a bit more on what they do, here's a vid from mid 24.

They demo how the system works from about the 31 min mark. Pretty cool stuff and with us onboard too, means Devs out there can really start to play with Akida, mark it against other accelerators etc which hopefully will excite them further as to what we can do and entice more enquiries and sales.


 
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TECH

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Luppo71

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This is worth watching. It’s Steve Brightfield from BrainChip talking to the Gadget Man at CES today. Starts at around the 8 min mark. Enjoy!
I promise that you will be excited by the end of it.


Great find mate
"Apple pro earbuds have put this technology in theirs"
Surely this is a huge takeaway from this interview even if they are just currently testing it out.
 
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MDhere

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This is worth watching. It’s Steve Brightfield from BrainChip talking to the Gadget Man at CES today. Starts at around the 8 min mark. Enjoy!
I promise that you will be excited by the end of it.


Thanks Slade, Wow, within 5 years " I see it embedded in every product" and the bit about apple pro earbuds was interesting plug for apple..... Steve Brrightfield did a fantastic job delivering confidence and conviction and got love the gadget guy when he says its just amazing where this technology is going, i guarantee Brainchip will be involved in same ways shape or form. Got love the gadget professor he seems to have the ability to draw out info, I remember when he interviewed Rob Telson, he took off his headset and fiddled with his hearing aid and Rob smirked, almost like a wink wink nudge nudge and here we are today talking about hearing aids etc :)

And what's with the guy french guy that came on after calling his company Akidaia ? I thought the word akida was trademarked to us? bit confused what that was all about with the name.
 
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TopCat

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This is worth watching. It’s Steve Brightfield from BrainChip talking to the Gadget Man at CES today. Starts at around the 8 min mark. Enjoy!
I promise that you will be excited by the end of it.


Exciting times 😎
 
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TECH

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This is worth watching. It’s Steve Brightfield from BrainChip talking to the Gadget Man at CES today. Starts at around the 8 min mark. Enjoy!
I promise that you will be excited by the end of it.



Thanks Slade.......that in my opinion was the best 2 way conversation I have heard, second only to Peter or Anil !

If any shareholder has any doubt about Brainchip, well listen very carefully to little parts of the conversation, Steve drops
a few bits of information, including mentioning but obviously not naming 2 new companies that we are currently engaged
with....the Professor asked some great lead questions and was clearly truly blown away with the "science fiction", he is also
the second one to mention Branchip's professionalism in returning phone calls and making ourselves available in an as open
manner as possible.

Clearly shareholders can see that Steve is not only very knowledgeable, but has a great demeanor, what a great addition to
our team in the US.

On reflection last night, I wish to withdraw my choice of word, as in, FANTASY......I would love to see the entire Brainchip Team
ringing the opening bell at the Nasdaq, with Peter and Anil front and centre, but my heart tells me a bigger entity will buy us out
before that day eventuates.....remember I'm wrong (sometimes) and it's only my (opinion).

Love our company and all our genuine supporters ❤️❤️ Tech.

P.S. Remember.......
bernie sanders no GIF
 
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jtardif999

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Nearly 4 years and still pending. I guess the medical trials take a very long time to conduct?

Yeah and we are still potentially part of the Nanose gig: (part of claim 65 anyway)
‘a processing unit comprising a learning and pattern recognition analyzer configured for receiving output signals from the one or more of the sensing regions and comparing the signals to a stored data, by utilizing a pattern recognition algorithm;’
 
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Flenton

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Cheer Slade.

That's is some gold nuggets 😀

Not the exact qoute but, I like it.

'We sign more partners, where we can't mention.

Learning 🪴
I liked the continuation of that where they mentioned something about a company having their own university program to retrain their staff for it.
 
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Tothemoon24

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IMG_0411.jpeg




IMG_0410.jpeg



TENNs-PLEIADES: Building Temporal Kernels with Orthogonal Polynomials​


Introducing TENNs-PLEIADES (PoLynomial Expansion in Adaptive Distributed Event-based Systems), an innovative method within the TENNs (Temporal Neural Network) family.
TENNs-PLEIADES excels in directly performing spatio-temporal classification on data from event-based sensors. These sensors offer ultra low-latency, and until now, processing their signals in a principled manner has been a significant challenge. By utilizing a unique kernel parameterization based on orthogonal polynomials, TENNs-PLEIADES achieves state-of-the-art performance across three distinct datasets: Hand Gesture Recognition, Eye Tracking, and PROPHESEE’s 1 Megapixel Automotive Detection.
TENNs-PLEIADES is fully supported on Akida 2.0 IP and represents the latest advancement in event-based and neuromorphic processing.


 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
View attachment 75725



View attachment 75724


TENNs-PLEIADES: Building Temporal Kernels with Orthogonal Polynomials​


Introducing TENNs-PLEIADES (PoLynomial Expansion in Adaptive Distributed Event-based Systems), an innovative method within the TENNs (Temporal Neural Network) family.
TENNs-PLEIADES excels in directly performing spatio-temporal classification on data from event-based sensors. These sensors offer ultra low-latency, and until now, processing their signals in a principled manner has been a significant challenge. By utilizing a unique kernel parameterization based on orthogonal polynomials, TENNs-PLEIADES achieves state-of-the-art performance across three distinct datasets: Hand Gesture Recognition, Eye Tracking, and PROPHESEE’s 1 Megapixel Automotive Detection.
TENNs-PLEIADES is fully supported on Akida 2.0 IP and represents the latest advancement in event-based and neuromorphic processing.



Oh, thank goodness! I was wondering when we were going to get around to leveraging our orthogonal polynomials to parameterize temporal convolutional kernels. 😝

Do you know what this is about @Tothemoon24 Or are you posting because someone new is following?
 
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Tothemoon24

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Oh, thank goodness! I was wondering when we were going to get around to leveraging our orthogonal polynomials to parameterize temporal convolutional kernels. 😝

Do you know what this is about @Tothemoon24?
Absolutely no idea @Bravo well above my $2.19 pay rate , must say some of the big words look impressive
 
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Tothemoon24

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What?!

Do you mean to say you didn’t utilize your unique kernel parameterization for breakfast this morning? That’s very disappointing.🤡
I struggle with opening my Kellogg’s Coco Pops
 
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Boab

I wish I could paint like Vincent
Absolutely no idea @Bravo well above my $2.19 pay rate , must say some of the big words look impressive
From memory it has been on the website for quite a while as a "white Paper".
But, like you I have no idea what it all means.
 
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stockduck

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"
Edge computing has naturally been a hot topic at CES with companies highlighting a myriad of use cases where the pre-trained edge device runs inference locally to produce the desired output, never once interacting with the cloud. The complexity of these nodes has grown to not only include multimodal support with the fusion and collaboration between sensors for context-aware devices but also multiple cores to ratchet up the compute power.

Naturally, any hardware acceleration has become desirable with embedded engineers craving solutions that ease the design and development burden. The solutions vary where many veer towards developing applications with servers in the cloud that are then virtualized or containerized to run at the edge. Ultimately, there is no one-size-fits-all solution for any edge compute application.

It is clear that support for some kind of hardware acceleration has become paramount for success in breaking into the intelligent embedded edge. Company approaches to the problem run the full gamut from hardware accelerated MCUs with abundant software support and reference code, to an embedded NPU.
...."

Can someone more knowledgeable show the data inside this link I posted? So many NPU`s... Where is our akida "gost" IP?:ROFLMAO:
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
From memory it has been on the website for quite a while as a "white Paper".
But, like you I have no idea what it all means.

Oh dear! Maybe you and Tothemoon should meet up with each other? I’m sure with your two heads combined, you could open Tothemoon’s packet of Coco Pops. 🤣😝
 
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stockduck

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"
Edge computing has naturally been a hot topic at CES with companies highlighting a myriad of use cases where the pre-trained edge device runs inference locally to produce the desired output, never once interacting with the cloud. The complexity of these nodes has grown to not only include multimodal support with the fusion and collaboration between sensors for context-aware devices but also multiple cores to ratchet up the compute power.

Naturally, any hardware acceleration has become desirable with embedded engineers craving solutions that ease the design and development burden. The solutions vary where many veer towards developing applications with servers in the cloud that are then virtualized or containerized to run at the edge. Ultimately, there is no one-size-fits-all solution for any edge compute application.

It is clear that support for some kind of hardware acceleration has become paramount for success in breaking into the intelligent embedded edge. Company approaches to the problem run the full gamut from hardware accelerated MCUs with abundant software support and reference code, to an embedded NPU.
...."

Can someone more knowledgeable show the data inside this link I posted? So many NPU`s... Where is our akida "gost" IP?:ROFLMAO:
I read an article about a spoon that can measure the salt content in food to support health at CES 2025.
How cool would it be to develop a metal needle that can measure the acrylamide content of food, such as French fries or similar, in order to reduce the risk of cancer when consuming food... due to incorrectly prepared products in stores?

Just a quick question for our group here....
 
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IloveLamp

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Bravo

If ARM was an arm, BRN would be its biceps💪!
At approximately 12:08 minutes into the video, Steve Brightfield discusses the Akida Pico and highlights its suitability for hearing aids and wearables such as smartwatches and glasses. He emphasizes that its energy efficiency allows the battery to last for several days.

At 12:50, he talks about the audio denoising algorithms, noting that some of this technology is already present in Apple Pro devices. He also mentions ongoing discussions with manufacturers of smart glasses.

The interviewer then asks whether products featuring this technology are currently available. Steve responds by saying they are working with manufacturers to integrate more advanced algorithms into products.

Regarding smart glasses, I thought Stephen might be referring to either Meta or Apple, but other possibilities could include Vuzix, Xiaomi, Brilliant Labs and Lenovo.

In September 2024, EssilorLuxottica and Meta extended their partnership beyond 2030, signaling a long-term commitment to developing smart eyewear together.

Apple Vision Pro, which is a mixed-reality headset, is manufactured by Luxshare, a Chinese electronics company.
 
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