No. I thought I was wrong once, but I was mistaken.Thanks @Diogenese.
I give up. Going back to shutting my mouth, reading and learning for a while. I’m out of my depth!
No. I thought I was wrong once, but I was mistaken.Thanks @Diogenese.
I give up. Going back to shutting my mouth, reading and learning for a while. I’m out of my depth!
P.S.: see FFs post of decemberAnil Mankar was asked at the 2021 Ai Field Day if Brainchip was obtaining ASIL approval for AKIDA and he said no that is too expensive we are leaving it for our customers well once again the truth of Brainchip statements is highlighted by Socionext’s reveal of ISO26262
Automotive Safety Approval.
This milestone approval is in itself huge as it confirms that Mercedes Benz and others will have the ability to expand AKIDA’s use to the full extent technically possible.
My opinion only DYOR
FF
AKIDA BALLISTA
Hi SG,The Qualcomm video today is doing my head in. I lack the technical knowledge or experience but I get obsessed with finding answers so I keep researching to get a result, which on this subject is to me like trying to read a book in an unknown foreign language.
On the Qualcomms website there are numerous new videos showing what the new Snapdragon 8 can do and the features are remarkably similar to Akida’s. If it’s not us then it‘s unfortunately a good competitor as they already have a large market share and have sold 2Billion AI products to date.
This is their webpage which has the video’s and describes their latest Snapdragon 8 gen 2.
Mobile AI | On-Device AI | Qualcomm®
Learn about the advantages of AI on-device, such as improved user privacy and enhanced application performance. Unlock the power of mobile AI today.www.qualcomm.com
The article I have pasted below is from Qualcomm dated 17/11/22 and discusses the Hexagon AI processor which in researching goes back many years so it’s not new technology but likely improved year on year
Traditionally, laptop performance has been measured by CPU and GPU, but on-device AI processing is now a critical third measure. The integrated Qualcomm Hexagon AI processor in Snapdragon compute platforms offloads compute intensive AI tasks from the CPU and GPU to dramatically increase performance on the device and deliver new user experiences. In fact, we're excited to share that with the pre-release Procyon AI Inference Benchmark, results show the Hexagon AI processor scores up to 5x faster than the competitor's CPU and up to 2.5x faster than the competitor's GPU.
Snapdragon compute platforms: unlocking best-in-class AI accelerated user experiences and a new level of mobile computing performance for Windows laptops
We're excited to share that with the pre-release Procyon AI Inference Benchmark, results show the Hexagon AI processor scores up to 5X faster than the competitor's CPU and up to 2.5X faster than the competitor's GPU.www.qualcomm.com
This article below is so far the best I have found and discusses both neural networks and transformers however our Akida 2.0 which was possibly going to contain the transformers has not been made yet so that rules that out from being on the new snapdragon 8 gen 2.
Qualcomm Snapdragon 8 Gen 2 Delivers More AI For Mobile
Jim McGregor
Contributor
Tirias Research
Contributor Group
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New! Click On The Conversation Bubble To Join The Conversation Got it!
Nov 16, 2022,04:41am EST
https://policies.google.com/privacy
Listen to article6 minutes
The Qualcomm Snapdragon 8 gen 2 SoC for flagship smartphones
QUALCOMM
The Snapdragon Tech Summit is a multi-day event that showcases the latest mobile technology Qualcomm has to offer. This is the second year that Qualcomm has held simultaneous events in China and Hawaii, as well as streaming the keynote addresses. Day 1 of the Snapdragon Tech Summit kicked off with the introduction of the latest smartphone system-on-chip (SoC) for smartphones – the Snapdragon 8 Gen 2. As expected, it delivers improvements in performance and efficiency for camera, connectivity, gaming, sound, and security. But the biggest punch comes from the use of artificial intelligence (AI) in just about every area. The company went so far as to call it “purpose built for AI.”
Qualcomm uses all of the Snapdragon SoC’s processing elements for AI processing and calls the combination of these processing elements the “AI engine.” Among the enhancements incorporated into the AI engine was a dedicated power plane and a doubling of the tensor processing cores within the Hexagon processor. The result is a 4.35x improvement in performance and an equally impressive 60% improvement in performance per watt efficiency. Qualcomm also added support for transformer neural network models which are critical for applications like natural language processing (NLP) for speech-to-text and text-to-speech translation. The Hexagon can splice the neural NLP model into smaller elements to run on micro tiles allowing for more efficient use of the processing cores. Additionally, Qualcomm added support for Int4 data structures. In many cases, this lower precision data structure can be used by neural network models like computational photography image enhancement without a noticeable loss of accuracy while improving speed and power efficiency. The end result is faster and more efficient processing of neural network models.
With the Snapdragon 8 Gen 2, Qualcomm is also introducing the Hexagon Direct Link – a physical link between the Hexagon processor and the other AI processing cores for fast, real-time processing. According to the company, this will enable the first cognitive processing by the image signal processor (ISP) in the Snapdragon 8 Gen 2.
@Diogenese
I saw Qualcomm put out a white paper trying to standardise 8 bits whereas PVDM did a blog recently saying 4 bits is enough. I THINK the part I bolded above where Qualcomm added support for Int4 data structures means they added support for 4 bits which is contrary to their own white paper and I THINK supports what PVDM neural networks plan is?
That‘s all I’ve got for dots to support Akida bring in Snapdragon 8 Gen 2 but contradictory info re transformer NN as we haven’t made them yet.
Hope it makes sense.
As @Adam said earlier tonight: I might be better off, rather than trying to do all this dot joining to just wait for the announcement. Wise words!
TLS, your Post brought me to an interesting question:
Super thoughts there on iCatch there @Bravo as usual. There are ways to sleuth into this.Dear Dodgy-knees,
I just took my PJ's off and put my happy pants back on and I also took the cork back out of the champers just in case! Here are two extracts from an article dated Thursday 6 October 2022 which are leading me to think, hope and pray that iCatch may have incorporated Akida. If @Stable Genius is right when he said iCatch are "SOC designers so my understanding is they still needed to get their IP from somewhere", then where else would they be getting their IP that can perform all of the bits and bobs outlined in the two extracts below? See the link at the bottom of the post for the full article.
I mean, does Sony Semiconductor Solutions have its own AI Deep Learning Accelerator? Can it protect the driver's privacy, monitor their attentiveness and their health status through multi-sensor fusion and AI edge computing and even take control over the car when needed?
View attachment 27513
View attachment 27514
I don't want to get too excited. Heck, who am I kidding? I wan't to get REALLY, REALLY EXCITED!!!!!
iCatch Technology provides driver monitoring system (DMS) solutions
As electric vehicle and ADAS (Advanced Driver Assistance System) continue to penetrate the market, iCatch Technology also has been investing lots of resources in imaging-based ADAS technology and business development. How do you ensure that the driver is still paying attention to the road...www.digitimes.com
Speaking of sleuthing. The way I found the dots to the AliveCor ECG wearables was with filetype pdf.AliveCor is/maybe/apparently testing the Brainchip Akida SNN solution for ECG medical wearables. Sounds like they concluded to move forward and test it on hardware. Notice the "future goal" and the first 2 references.
Conclusion, Limitation & Future works:
In this work, we have proved the efficacy of a new Peak based encoder along with different spiking networks for ECG classification by testing them on five widely varying ECG datasets.
Encoding performance of Peak encoder can be improved by removing the noise peaks in ECG signal by correlating the signal from another auxiliary low energy sensor like an accelerometer.
Our SNNs are not tested on real NC hardware such as Brainchip Akida [2] and Intel Loihi [19].
Our future goal is to benchmark the SNNs and encoders on those hardware.
References
[1] Alivecor kardia. URL https://clinicians.alivecor.com/our-devices/.
[2] Brainchip unveils the akida development environment. https://www.brainchipinc.com/newsme...hip-unveils-the-akida-development-environment, 2019.
https://clinicians.alivecor.com/our-devices/
The most sophisticated AI ever brought to personal ECG
Kardia devices can detect more arrhythmias than any other personal ECG—no wires, patches, or gels required.
View attachment 27452
https://openreview.net/pdf?id=V8yemRAs00-
View attachment 27453
I can't imagine that they aren't allowed to. VW engineers also like something from Volvo etc., maybe because they have worked there before. This is also the reason that we should not interpret enormously into all likes. Still, it's interesting to note. A small mercedes employee should never like anything because he never knows who a secret partner could beTLS, your Post brought me to an interesting question:
Are developement engineers allowed to follow and like possible future partners?
A friend of mine (better: my "best man" - is this the English word for the guy proving your marriage?) used to be one of the 7 Senior buyers @ Audi, Ingolstadt. He is now currently in the developement department. I just forwarded your screenshots with exactly this question. Hope there won't be a regulation - because if they have it, these likes from Merc employees will be probably meaningless as well.
Will post his answer here.
By the way: Met him last time in summer and asked him about BRN directly. Didn't receive an answer due to the company restrictions, altough we share our lives since decades...
Been discussed and posted many times before.Just governments, site gov. Interesting, 1,560 results.
https://www.google.com/search?q="brainchip"+OR+"akida"+site:gov
Perhaps this will help some of our Nasa sleuths!
View attachment 27538
You can also click the Tools and change the Time Frame, if you just want more current results.
View attachment 27539
TLS, your Post brought me to an interesting question:
Are developement engineers allowed to follow and like possible future partners?
A friend of mine (better: my "best man" - is this the English word for the guy proving your marriage?) used to be one of the 7 Senior buyers @ Audi, Ingolstadt. He is now currently in the developement department. I just forwarded your screenshots with exactly this question. Hope there won't be a regulation - because if they have it, these likes from Merc employees will be probably meaningless as well.
Will post his answer here.
By the way: Met him last time in summer and asked him about BRN directly. Didn't receive an answer due to the company restrictions, altough we share our lives since decades...