BRN Discussion Ongoing

[Deleted member 118]

A few people might find this an interesting read (not that I have read it, maybe just a few lines)

Artificial Intelligence Technology and China’s Defense System

Artificial intelligence (AI) technologies have been developed for many years and applied in various areas. Applications of AI are contested not only on domestic surveillance but also on military uses.

www.airuniversity.af.edu

 

[Fact Finder]

Hi Boab,

Looks like the booklet needs to be updated:

https://www.nviso.ai/en/news/nviso-...l-neuromorphic-processor-platform-at-ces-2023

Lausanne, Switzerland – 2nd January, 2023 – nViso SA (NVISO), the leading Human Behavioural Analytics AI company, is pleased that its Neuro SDK will be demonstrated running on the Brainchip Akida platform at the Socionext stand at CES2023. Following the porting of additional AI Apps from its catalogue, NVISO has further enhanced the range of Human Behavioural AI Apps that it supports on the BrainChip Akida event-based, fully digital neuromorphic processing platform. These additions include Action Units, Body Pose and Gesture Recognition on top of the Headpose, Facial Landmark, Gaze and Emotion AI Apps previously announced with the launch of the Evaluation Kit (EVK) version. This increased capability supports the further deployment of NVISO Human Behavioural Analytics AI software solutions with these being able to further exploit the performance capabilities of BrainChip neuromorphic AI processing IP to be deployed within the next generation of SOC devices. Target applications include Robotics, Automotive, Telecommunication, Infotainment, and Gaming.

My memory from the live presentation I attended by Nviso's Tim Llewellyn after the Brainchip AGM last year he said they were working on porting up to 20 or 24 Ai Apps to AKIDA including Ai Apps to monitor driver health including blood pressure and heart rate.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Straw]

 

[Deleted member 118]

Artificial intelligence in health care: Most Americans are uncomfortable, survey finds | CNN

Most Americans feel “significant discomfort” about the idea of their doctors using artificial intelligence to help manage their health, a new survey finds, but they generally acknowledge AI’s potential to reduce medical mistakes and to eliminate some of the problems doctors may have with racial...

amp.cnn.com

 

[Diogenese]

Found it. Page 3

Hi Boab,

Looks like the booklet needs to be updated:

https://www.nviso.ai/en/news/nviso-...l-neuromorphic-processor-platform-at-ces-2023

Lausanne, Switzerland – 2nd January, 2023 – nViso SA (NVISO), the leading Human Behavioural Analytics AI company, is pleased that its Neuro SDK will be demonstrated running on the Brainchip Akida platform at the Socionext stand at CES2023. Following the porting of additional AI Apps from its catalogue, NVISO has further enhanced the range of Human Behavioural AI Apps that it supports on the BrainChip Akida event-based, fully digital neuromorphic processing platform. These additions include Action Units, Body Pose and Gesture Recognition on top of the Headpose, Facial Landmark, Gaze and Emotion AI Apps previously announced with the launch of the Evaluation Kit (EVK) version. This increased capability supports the further deployment of NVISO Human Behavioural Analytics AI software solutions with these being able to further exploit the performance capabilities of BrainChip neuromorphic AI processing IP to be deployed within the next generation of SOC devices. Target applications include Robotics, Automotive, Telecommunication, Infotainment, and Gaming.
“BrainChip’s event-based Akida platform is accelerating today’s traditional networks and simultaneously enabling future trends in AI software applications” said Rob Telson, VP Ecosystems, BrainChip. “NVISO is a valued partner of Brain Chip’s growing ecosystem, and their leadership in driving extremely efficient software solutions gives a taste of what compelling applications are possible at the edge on a minimal energy budget”.

Hi Boab,

The remarkable thing is that your press release without Akida gesture and pose is dated 16 December 2022, and the CES announcement dated 2 January 2023 has added Akida gesture and pose to the nViso AI App. It's easy in software.

MetaTF is free for users to use for testing, but I wonder if we charge for commercial use?

 

[Serengeti]

Good evening,

Could this be BRN?

CHIP DEVELOPMENTDevelopment of ultra-low power on-device learning edge AI chip​

08.12.2022 From ROHM (press release)


ROHM has developed an on-device learning AI chip (SoC with on-device learning AI accelerator) for edge computer endpoints in the IoT field. It utilizes artificial intelligence to predict failures (predictive failure detection) in electronic devices equipped with motors and sensors in real-time with ultra-low power consumption.

Combining the 20,000-gate ultra-compact AI accelerator with a high-performance CPU enables learning and inference with ultra-low power consumption of just a few tens of mW (1000× smaller than conventional AI chips capable of learning).

Going forward, ROHM plans to incorporate the AI accelerator used in this AI chip into various IC products for motors and sensors. Commercialization is scheduled to start in 2023, with mass production planned in 2024.

ROHM Develops Ultra-Low-Power On-Device Learning Edge AI Chip | ROHM Semiconductor - ROHM Co., Ltd.

www.rohm.com

 

[Boab]

Hi Boab,

The remarkable thing is that your press release without Akida gesture and pose is dated 16 December 2022, and the CES announcement dated 2 January 2023 has added Akida gesture and pose to the nViso AI App. It's easy in software.

MetaTF is free for users to use for testing, but I wonder if we charge for commercial use?

I'm excited.

 

[Learning]

Good evening,

Could this be BRN?

CHIP DEVELOPMENTDevelopment of ultra-low power on-device learning edge AI chip​

08.12.2022 From ROHM (press release)


ROHM has developed an on-device learning AI chip (SoC with on-device learning AI accelerator) for edge computer endpoints in the IoT field. It utilizes artificial intelligence to predict failures (predictive failure detection) in electronic devices equipped with motors and sensors in real-time with ultra-low power consumption.

View attachment 33011

Combining the 20,000-gate ultra-compact AI accelerator with a high-performance CPU enables learning and inference with ultra-low power consumption of just a few tens of mW (1000× smaller than conventional AI chips capable of learning).

Going forward, ROHM plans to incorporate the AI accelerator used in this AI chip into various IC products for motors and sensors. Commercialization is scheduled to start in 2023, with mass production planned in 2024.

ROHM Develops Ultra-Low-Power On-Device Learning Edge AI Chip | ROHM Semiconductor - ROHM Co., Ltd.

www.rohm.com

Hi Serengeti,

Our more knowledgeable members would give you a more definitive answer.

However, reading this,

"Based on an ‘on-device learning algorithm’ developed by Professor Matsutani of Keio University,"

reading the above, I believe it's not Akida.

Learning 🏖

 

[chapman89]

Good evening,

Could this be BRN?

CHIP DEVELOPMENTDevelopment of ultra-low power on-device learning edge AI chip​

08.12.2022 From ROHM (press release)


ROHM has developed an on-device learning AI chip (SoC with on-device learning AI accelerator) for edge computer endpoints in the IoT field. It utilizes artificial intelligence to predict failures (predictive failure detection) in electronic devices equipped with motors and sensors in real-time with ultra-low power consumption.

View attachment 33011

Combining the 20,000-gate ultra-compact AI accelerator with a high-performance CPU enables learning and inference with ultra-low power consumption of just a few tens of mW (1000× smaller than conventional AI chips capable of learning).

Going forward, ROHM plans to incorporate the AI accelerator used in this AI chip into various IC products for motors and sensors. Commercialization is scheduled to start in 2023, with mass production planned in 2024.

ROHM Develops Ultra-Low-Power On-Device Learning Edge AI Chip | ROHM Semiconductor - ROHM Co., Ltd.

www.rohm.com

 

[equanimous]

Time in the market

 

[Fastback6666]

Prophesee’s Big Three: Sony, Qualcomm and Smartphones | The Ojo-Yoshida Report

Finally, event-based image sensors leveraging neuromorphic engineering principles come to smartphones.

ojoyoshidareport.com

By teaming with Sony, the world’s largest CMOS image sensor company, and Qualcomm, which commands a 50-percent share of the mobile SoC market, Prophesee, a Paris-based startup, is finally finding a massive volume market for its unique event-based cameras in smartphones

So does this mean Brainchip will have massive volume in royalties flowing through from this? Sounds exciting....

 

[Diogenese]

I'm excited.

https://www.nviso.ai/en/extreme-edge-high-performance-computing-hpc

NVISO Neuro Models™ are purpose built for a new class of ultra-efficient AI processors designed for ultra-low deep learning on edge devices. Supporting a wide range of heterogenous computing platforms ranging from CPU, GPU, VPU, NPU, and neuromorphic computing they reduce the high barriers-to-entry into the embedded AI space through cost-effective standardized AI Apps which work optimally on edge devices for a range of common human behaviour use cases (low power, on-device, without requiring an internet connection). NVISO Neuro Models™ use low and mixed precision activations and weights data types (1 to 8-bit) combined with state-of-the-art unstructured sparsity to reduce memory bandwidth and power consumption. Using proprietary compact network architectures, they can be fully sequential suitable for ultra-low power mixed signal inference engines and fully interoperable with neuromorphic processors as well as existing digital accelerators.

Now who do we know who has a digital SNN capable of handling 1 to 8 bits ...
... in particular, 8-bit weights and activations?

 

[Fact Finder]

We all know Quantum Ventura they famously confirmed in a peer reviewed research paper that an AKIDA 1000 USB at $50.00 could match it with a Nvidia GPU at $30,000.

https://www.sciencedirect.com/science/article/pii/S1877050922017860/pdf?md5=c6abc5833a81c629954f7969fc65de04&pid=1-s2.0-S1877050922017860-main.pdf

Well this is what they are presently doing according to their website:

Our Current Federally-Funded Research Projects as the Prime Contractor:​

AI/ML/ Hyperspectral Imaging/ Neuromorphic/ Cybersecurity related topics:



DARPA: "AI Verification with provable guarantees" using advanced AI verification tools.

Partner: NC State University



Navy Air Warfare: "Certification of AI Systems - CORSI" using Advanced AI to certify AI/ML applications. (Phase 1 and Phase 2 SBIRs)

Partner: Lockheed Martin.



Missile Defense Agency: "Hypersonic Threat Detection" using bio-inspired processing, neuromorphic computing and Advanced AI. (Phase 1 STTR)

Partners: University of Florida and Lockheed Martin.



Navy Air Warfare: "Detection of UAVs and rogue drones using hyperspectral Imaging" (SBIR Phase 1).

Partners: Bodkin Imaging and Lockheed



Navy Air Warfare: "Vulnerability detection of source code using advanced AI/ML" - SBIR Phase 1



Homeland Security: "Opioid/contraband detection using hyperspectral imaging" - SBIR Phase 1



Department of Energy: "Cyber threat-detection using neuromorphic computing" - SBIR Phase 1

All sounding a bit ubiquitous if you ask me.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Diogenese]

I couldn't resist another peek at the Gen 2 Product Brief:

https://brainchip.com/wp-content/uploads/2023/03/BrainChip_second_generation_Platform_Brief.pdf

I can't wait!!!!!!!!!!!!!! ...

"Exceptional spatio-temporal capability: Patent-pending Temporal Event-based Neural Nets (TENNs) revolutionize time-series data applications"



"Efficient Vision Transformer acceleration: Vision Transformer encoder acceleration to provide radically better vision solutions"


Note that, when not operating in pure SNN mode, some processor participation is needed:
"Accelerates today’s networks: CNNs, DNNs, RNNs, Vision Transformers (ViT), and more, directly in hardware with minimal CPU intervention ...
Independent neural processor operation: Intelligent DMA minimizes or eliminates need for CPU in AI acceleration; minimizes system load"

Well I haven't looked at Renesas DRP-AI (dynamically reconfigurable processor -AI), but Akida can do it with your eyes closed.

Multi-Pass Processing Delivers Scalability, Future-Proofing:
Extremely scalable
• Runs larger networks on given set of nodes
• Reduces Silicon footprint and Power in SoC
Transparent to application developer and users
• Handled by runtime software
• Segments and processes network sequentially
Minimizes incremental latency
• Handles multiple layers concurrently
• Minimizes CPU intervention

That's pretty Tardus-like - if you need more nodes than there are on the SoC, we'll just keep using the ones we have until the jobs done. It's like when the team bus breaks down and you've only got a Mini ...


"Akida is model-, network-, and OS-agnostic"
So we can use custom models like nViso's as well as the standard models and out own in-house models.

 

[Deadpool]

We all know Quantum Ventura they famously confirmed in a peer reviewed research paper that an AKIDA 1000 USB at $50.00 could match it with a Nvidia GPU at $30,000.

https://www.sciencedirect.com/science/article/pii/S1877050922017860/pdf?md5=c6abc5833a81c629954f7969fc65de04&pid=1-s2.0-S1877050922017860-main.pdf

Well this is what they are presently doing according to their website:

Our Current Federally-Funded Research Projects as the Prime Contractor:​

AI/ML/ Hyperspectral Imaging/ Neuromorphic/ Cybersecurity related topics:



DARPA: "AI Verification with provable guarantees" using advanced AI verification tools.

Partner: NC State University



Navy Air Warfare: "Certification of AI Systems - CORSI" using Advanced AI to certify AI/ML applications. (Phase 1 and Phase 2 SBIRs)

Partner: Lockheed Martin.



Missile Defense Agency: "Hypersonic Threat Detection" using bio-inspired processing, neuromorphic computing and Advanced AI. (Phase 1 STTR)

Partners: University of Florida and Lockheed Martin.



Navy Air Warfare: "Detection of UAVs and rogue drones using hyperspectral Imaging" (SBIR Phase 1).

Partners: Bodkin Imaging and Lockheed



Navy Air Warfare: "Vulnerability detection of source code using advanced AI/ML" - SBIR Phase 1



Homeland Security: "Opioid/contraband detection using hyperspectral imaging" - SBIR Phase 1



Department of Energy: "Cyber threat-detection using neuromorphic computing" - SBIR Phase 1

All sounding a bit ubiquitous if you ask me.

My opinion only DYOR
FF

AKIDA BALLISTA

I think we're going to need a bigger boat.

 

[Diogenese]

I think we're going to need a bigger boat.

I think we're gonna need a flotilla.

 

[Diogenese]

So does this mean Brainchip will have massive volume in royalties flowing through from this? Sounds exciting....

We haven't seen any evidence that we are involved in this first round of Sony/Prophesee, ...

... but

... does anyone else make mobile phones?

 

[Fact Finder]

I couldn't resist another peek at the Gen 2 Product Brief:

https://brainchip.com/wp-content/uploads/2023/03/BrainChip_second_generation_Platform_Brief.pdf



View attachment 33016

View attachment 33018



I can't wait!!!!!!!!!!!!!! ...

"Exceptional spatio-temporal capability: Patent-pending Temporal Event-based Neural Nets (TENNs) revolutionize time-series data applications"



"Efficient Vision Transformer acceleration: Vision Transformer encoder acceleration to provide radically better vision solutions"


Note that, when not operating in pure SNN mode, some processor participation is needed:
"Accelerates today’s networks: CNNs, DNNs, RNNs, Vision Transformers (ViT), and more, directly in hardware with minimal CPU intervention ...
Independent neural processor operation: Intelligent DMA minimizes or eliminates need for CPU in AI acceleration; minimizes system load"

View attachment 33019


Well I haven't looked at Renesas DRP-AI (dynamically reconfigurable processor -AI), but Akida can do it with your eyes closed.

Multi-Pass Processing Delivers Scalability, Future-Proofing:
Extremely scalable
• Runs larger networks on given set of nodes
• Reduces Silicon footprint and Power in SoC
Transparent to application developer and users
• Handled by runtime software
• Segments and processes network sequentially
Minimizes incremental latency
• Handles multiple layers concurrently
• Minimizes CPU intervention

That's pretty Tardus-like - if you need more nodes than there are on the SoC, we'll just keep using the ones we have until the jobs done. It's like when the team bus breaks down and you've only got a Mini ...


"Akida is model-, network-, and OS-agnostic"
So we can use custom models like nViso's as well as the standard models and out own in-house models.

It reminds me of this Charlie Chaplin skit - just keep going around till you knock it out of the park:

 

[Deadpool]

I think we're gonna need a flotilla.

This just keeps getting better by the day.

 

[alwaysgreen]

I'm keeping a low profile on here at the moment but I will say one thing.

I did have a conversation with Tony Dawe in my hiatus and his direct quote to me asking about companies purchasing licenses through third parties (such as Megachips) was this:

"It seems highly unlikely that a customer of one of our licensees would keep its use of neuromorphic AI a secret for very long.

Such a company would almost certainly use the employment of Akida neuromorphic IP as part of its marketing pitch to attract customers by differentiating its product from its competitors".

So hopefully, the floodgates are released soon and we hear of a number of products utilising Akida. Also, whoever has already purchased through Megachips, please shout it from the rooftops! (edit: likely it is Mercedes as stated by DB below)