BRN Discussion Ongoing

Hi Bravo,

By all means keep the champers flowing and keep your happy pants on, but I'm afraid @Stable Genius is leading you up the garden path.

iCatch have a very complex chip, the V57 AI processor (see above), which includes their proprietary NPU.

Unfortunately for them, they have used a design from the last millennium for their NPU.

Bottoms up!
View attachment 27525

Thanks @Diogenese.

I give up. Going back to shutting my mouth, reading and learning for a while. I’m out of my depth!

Edit: deleted my last post as it was wrong info.
:cry:
 
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Diogenese

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Sirod69

bavarian girl ;-)
Tim Llewellynn
Status: online
Tim Llewellynn• 1.CEO/Co-Founder of NVISO Human Behaviour AI | President Bonseyes Community Association | Coordinator Bonseyes AI Marketplace | IBM Beacon Award Winner #metaverse #edgeai #decentralizedai
6 Min. • vor 6 Minuten


#neuromorphic hardware is going to be a key enabler for AI software. Delivering exceptional customer experiences of future of robots and cars that are safe, secure, and eco-friendly. Its great to see successful pioneers like Mercedes-Benz AG and their leaders Markus Schäfer to take the "bull by the horns" to see how these technologies could transform their industry. At NVISO, as a pure AI software company, we are a strong believer of these next-generation ultra-low power hardware technologies and are excited that the #extremeedge continues to gather momentum within the automotive industry.

#leaders #ai #future #software #automotiveindustry

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NVISO
@nviso

#neuromorphic hardware is going to be a key enabler for AI software. Delivering exceptional customer experiences of future of robots and cars that are safe, secure, and eco-friendly. Its great to see successful pioneers like Mercedes-Benz AG and their lea…
1674132380116.png
 
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cassip

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SP today like in AUS weaker, ~ -3%, volume lower again.

Yesterday I came back to Rambus once again concerning the security topic which seems to be one of the most important factors. Lots of research to do, for those who are interested some hints:

„Many Rambus security IP solutions have been certified to meet the FIPS 140, ISO 26262, and Common Criteria standards.“


For example, automotive:

„Vehicle systems and the semiconductors used within them represent some of today’s most complex electronics. In the drive to autonomous vehicles, increasingly sophisticated electronic systems are being developed for powertrain and vehicle dynamics, advanced driver assistance systems, vehicle-to-everything connectivity, infotainment, and in-vehicle experience. In addition to higher levels of performance, these systems must meet automotive functional safety requirements as specified by ISO 26262.“

 
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cassip

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Anil 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
P.S.: see FFs post of december
 
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Diogenese

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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.




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.





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
0

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

Snapdragon 8 Gen 2 splash logo

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!
Hi SG,

Qualcomm talk a good processor.

Snapdragon 8.2 has AI acceleration based on Qualcomm Hexagon processor hardware.


Artificial Intelligence:

Qualcomm® Adreno™ GPU

Qualcomm® Kryo™ CPU

Qualcomm® Hexagon™ Processor

• Fused AI Accelerator Architecture

• Hexagon Tensor Accelerator

• Hexagon Vector eXtensions

• Hexagon Scalar Accelerator

• Hexagon Direct Link

• Support for mix precision (INT8+INT16)

Support for all precisions (INT4, INT8, INT16, FP16)

• Micro Tile Inferencing

Qualcomm® Sensing Hub

• Dual AI Processors for audio and sensors

• Always-Sensing camera


Groundbreaking AI:

Our AI Engine includes the Qualcomm® Hexagon™ Processor, with revolutionary micro tile inferencing and faster Tensor accelerators for up to 4.35x1 faster AI performance than its predecessor. Plus,
support for INT4 precision boosts performance-per-watt by 60% for sustained AI inferencing.


The use of 8-bit and upwards indicates the use of ALU/MAC (Multiply Accumulate) circuit, which is probably CNN, and certainly not SNN.

When ARM and SiFive incorporate Akida, they will probably have better comparative performance.

Intel's IFS is already offering Akida IP.

Socionext already have a CPU/GPU/SNN processor with Akida IP on the drawing board.

If Qualcomm lose their legal stoush with ARM, having missed the Akida bus, they could be well behind the 8 ball.
 
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White Horse

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Hi All.
Almost, too much dot joining gymnastics to absorb today.
As far as Prophesee's business with Sony and Qualcomm is concerned, if Prophesee are as keen on our tech, as they proclaim, I can't see their customers settling for second best. Especially if it is conceived that in doing so, would put them at a competitive disadvantage.
If they are of the same opinion as Prophesee regarding the perfect union of the Akida technology, why would they let Prophesee talk them into an inferior product.
I'm sure that Sony would find a way around any contracts that are not in their best interests.
 
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Sirod69

bavarian girl ;-)
Markus Schäfer
Markus Schäfer• Follower:inMitglied des Vorstands der Mercedes-Benz Group AG, Chief Technology Officer, Entwicklung & Einkauf
1 Std. • vor 1 Stunde


I took part in a fascinating panel discussion today on the important topic of traffic safety in India, which has the worst record in the world for road crashes and accounts for 10% of global accident fatalities.

Global Sustainability Dialogue India is part of a series of events we are holding around the world to address hot topics relating to sustainability. At each of these, my board colleagues Ola Källenius, Renata Jungo Brüngger and I are joined by invited speakers and panellists from the private and public sector as well as academia.

Participating digitally in the live event in Delhi, I teamed up with digital data entrepreneur Pramad Jandhyala, Professor Geetam Tiwari from IIT Delhi and my colleague Jochen Feese from our Mercedes accident research department to explore the opportunities for leveraging data and technology to deliver sustainable change.

I talked a lot here about the role of digitalisation, connectivity and automation in improving traffic safety. However, in a country where the fleet of intelligent vehicles is still tiny and smart infrastructure in its infancy, we take a different approach. And data is a crucial part of that. Data we have gathered over many years from our work in other regions can combine with localised data to help build a bigger picture, target action and inform decisions.

India’s dynamic start-up ecosystem can also make an important contribution. My team at Mercedes-Benz Research and Development India headed by Manu Saale works extensively with local start-ups on a wide range of initiatives, with safety being one of the top priorities. I believe that innovation based on a combination of global expertise and granular ideas (not to mention a bit of lateral thinking) can produce truly meaningful outcomes.

And when it comes to changing habits, data can help authorities make a compelling case for the effectiveness of straightforward measures such as seatbelts, helmets and airbags. In fact, #MercedesBenz has been running its SAFE ROADS Initiative in India since 2015 to help raise awareness of road safety among young people.

How do you think data and technology can bring change to traffic safety in India? Let me know your thoughts in the comments.

#TrafficSafety #Technology #Innovation
 
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charles2

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Amazon on notice (Mr Bad Autopilot Musk too)

Not good: Amazon designed for speed not safety....feds conclude.

Akida to the rescue....ubiquitous opportunities and from BIG players too

 
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Krustor

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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...
 
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stuart888

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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!!!!! 🥳


Super thoughts there on iCatch there @Bravo as usual. 🐯 There are ways to sleuth into this.

A wise company keeps secrets out of the public domain, so this does not really prove anything.

Not that google knows all, but I hope this helps. Google search operators are very good at sleuthing! 🧩

No hits with: "brainchip" OR "akida" OR "snn" site:icatchinc.com

444 hits with: "brainchip" OR "akida" OR "snn" OR "surveillance" site:icatchinc.com

1674149033943.png



1674148684048.png
 
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stuart888

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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
Speaking of sleuthing. The way I found the dots to the AliveCor ECG wearables was with filetype pdf.

I feel like the hard-core publications on Akida SNN solutions seem to be created in pdf form. You can use all the OR, AND, -, *, operators on filetype pdf equally as well.

You can interrogate specific websites with site:arm.com for example.

This stuff is easier to do on a PC, where you can type, and move through lots of information quickly. Not so good on tablets or smartphones.

Hope that helps.
1674150357227.png
 
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Sirod69

bavarian girl ;-)
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...
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 be
 
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stuart888

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D

Deleted member 118

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MDhere

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Thanks guys for the summaries with key links to catch up on. And Markus with in the loop is spot on too. And im glad to see my love is in the thick of it all as well 🙂
Screenshot_20230120-045231_Chrome.jpg
 
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Krustor

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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...

Just received the answer:
Screenshot_20230119-211701_WhatsApp.jpg

Translated:
Question:
How is it at Audi: are development engineers allowed to follow and link future partners on LinkedIn, or is that regulated?
-------
The circle could be expanded: buyers etc.
-------
Answer:
Basically yes, but it must not be associated with taking advantage or distorting competition. You must not use it to disseminate any internal or confidential information. Does it help you?
-------



I guess it wont be much differen at Merc. Important for me: You are not allowed to like or follow for your personal advantage. So I doubt it is a simple shareholders like and following...
 
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Mccabe84

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Just tweeted
 
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