BRN Discussion Ongoing

[Boab]

What an interesting little journey. After clicking on Learn a series of titles, categories come up the first two defining the areas where Brainchip’s AKIDA technology is applicable according to ARM.

Suffice to say the lists are so long and extensive that they might well have just said ‘Anything you can imagine’.

Someone who is more able might like to copy these lists and post here. Ubiquitous is not overstating AKIDA’s reach.

My opinion only DYOR
FF

AKIDA BALLISTA

THE LIST.

BrainChip
Ubiquitous, distributed AI.
Close to the sensor.
Inspired by the human brain.

BrainChip website
Contact
Industry and Technologies
Internet of Things (IoT)
Artificial intelligence
Automotive
Industrial
Smart Homes
Wearables
Healthcare
Mobile computing
Functional Safety
Security
Smart Cities
Sustainability
Avionics
Industrial IoT (IIOT)
Mobile

Category

Voice
Vision
Other ML Solutions
Embedded
Vibration
Robotics
Aerospace and Defence
Autonomous vehicles
ADAS
Digital cockpit
Cameras
Vehicle motion and dynamics
Tools and Software
Transportation

 

[Fact Finder]

THE LIST.

BrainChip
Ubiquitous, distributed AI.
Close to the sensor.
Inspired by the human brain.

BrainChip website
Contact
Industry and Technologies
Internet of Things (IoT)
Artificial intelligence
Automotive
Industrial
Smart Homes
Wearables
Healthcare
Mobile computing
Functional Safety
Security
Smart Cities
Sustainability
Avionics
Industrial IoT (IIOT)
Mobile

Category

Voice
Vision
Other ML Solutions
Embedded
Vibration
Robotics
Aerospace and Defence
Autonomous vehicles
ADAS
Digital cockpit
Cameras
Vehicle motion and dynamics
Tools and Software
Transportation

Thanks @Boab. FF

 

[equanimous]

THE LIST.

BrainChip
Ubiquitous, distributed AI.
Close to the sensor.
Inspired by the human brain.

BrainChip website
Contact
Industry and Technologies
Internet of Things (IoT)
Artificial intelligence
Automotive
Industrial
Smart Homes
Wearables
Healthcare
Mobile computing
Functional Safety
Security
Smart Cities
Sustainability
Avionics
Industrial IoT (IIOT)
Mobile

Category

Voice
Vision
Other ML Solutions
Embedded
Vibration
Robotics
Aerospace and Defence
Autonomous vehicles
ADAS
Digital cockpit
Cameras
Vehicle motion and dynamics
Tools and Software
Transportation

Akida Resume

 

[DollazAndSense]

HUAWEI launch Track AI to help detect early signs of visual impairment in children across the world

Description: Huawei is working with IIS Aragon and DIVE Medical to co-create Track AI, an AI-powered assessment designed to detect and diagnose early signs of visual impairment in children.

consumer.huawei.com

“In the past, smartphones were not powerful enough to process complex AI based algorithms and data had to be sent to the cloud for processing. Communication to and from the cloud makes AI processing slow and is useless without a network. The new Track AI technology combines the very best in Huawei’s machine learning and on-device AI processing technology with concrete research and insights from IIS Aragon and DIVE Medical, said Peter Gauden, Technology Expert, Huawei.

Diagnosing eye problems early

Dr. Victoria Pueyo's startup DIVE-Medical has worked with Huawei Track.AI. Powered by smartphone AI chips, the app analyzes young children’s eye movements.

www.huawei.com

"The equipment is portable, and any non-trained professional can crunch the data on their phone, without needing even access to a wireless network or Wi-Fi signal"

Are there any yet known links between Brainchip and Huwaei / DIVE?

 

[Fact Finder]

HUAWEI launch Track AI to help detect early signs of visual impairment in children across the world

Description: Huawei is working with IIS Aragon and DIVE Medical to co-create Track AI, an AI-powered assessment designed to detect and diagnose early signs of visual impairment in children.

consumer.huawei.com

“In the past, smartphones were not powerful enough to process complex AI based algorithms and data had to be sent to the cloud for processing. Communication to and from the cloud makes AI processing slow and is useless without a network. The new Track AI technology combines the very best in Huawei’s machine learning and on-device AI processing technology with concrete research and insights from IIS Aragon and DIVE Medical, said Peter Gauden, Technology Expert, Huawei.

Diagnosing eye problems early

Dr. Victoria Pueyo's startup DIVE-Medical has worked with Huawei Track.AI. Powered by smartphone AI chips, the app analyzes young children’s eye movements.

www.huawei.com

"The equipment is portable, and any non-trained professional can crunch the data on their phone, without needing even access to a wireless network or Wi-Fi signal"

Are there any yet known links between Brainchip and Huwaei / DIVE?

Two speculative links:

1. Former CEO Mr. Dinardo in 2019 and 2020 referred to discussions with a Chinese mobile phone manufacturer.

2. Recently someone exposed 4 x AKD1000 chips being teamed with a Huawei processor as part of a research project in Europe.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Fullmoonfever]

Two speculative links:

1. Former CEO Mr. Dinardo in 2019 and 2020 referred to discussions with a Chinese mobile phone manufacturer.

2. Recently someone exposed 2 x AKD1000 chips being teamed with a Huawei processor as part of a research project in Europe.

My opinion only DYOR
FF

AKIDA BALLISTA

That would be these.

HiSilicon owned by Huawei.

They do have what's called their DaVinci architecture tied in with the AI.

Resources — eX3

Resources

www.ex3.simula.no

HISILICON
KUNPENG
In a are four dual processor nodes (Huawei TaiShan 200) in the eX3 cluster with the HiSilicon KunPeng 920 processor (64-bit, 64-core, ARM). This makes a total of eight processors with 512 cores. Each Huawei node has 1 TB DDR4 main memory and 4.2 TB local SSD scratch storage

AKIDA NEURAL PROCESSOR
The KunPeng CPU nodes (see above) hosts four Akida Neural Processors from BrainChip. These processors are designed specifically for neuromorphic computing.

 

[Chipper]

Apple heading for the edge….. (no Brainchip mention)

These Technologies Could Play a Big Role in the iPhone's Future — CNET

The iPhone just turned 15, and these technologies could shape where it goes next.

apple.news

 

[M_C]

This one?

https://www.iol.co.za/motoring/industry-news/honda-to-develop-ai-that-could-detect-cognitive-impairment-in-drivers-dfbaf281-469a-53f4-ad6d-849226ce767d

View attachment 10128

Mumbrella: Honda’s AI-driven ‘Harvey’ – the car that can sell itself via Leo Burnett Australia.

Honda's AI-driven 'Harvey' - the car that can sell itself via Leo Burnett Australia

Honda Australia is giving people the opportunity to learn about the new HR-V from an unexpected source – the car itself. In a world with voice-activated vacuum cleaners and talking toasters, why should cars be left out of the fun?Nicknamed ‘Harvey’, the idea sees the new HR-V being brought to...

mumbrella.com.au

 

[AusEire]

View attachment 10268

View attachment 10269

Didn't know we could change it!?

My one now contains a secret

 

[Pmel]

Very frustrating to see the SP not moving much. Withe that many partnerships and potential you would think the SP will adjust accordingly but no. Compnay/RT mentioned about the nuggets but so far nothing has proven that apart from good partnerships . I hope there is a good revenue in the next report as mentioned by the company officials as significant revenue coming. I hope we wont be disappointed.

 

[Learning]

I think shorters are giving their mates, a EOFY sales.

Learning.

 

[Diogenese]

That would be these.

HiSilicon owned by Huawei.

They do have what's called their DaVinci architecture tied in with the AI.

Resources — eX3

Resources

www.ex3.simula.no

HISILICON
KUNPENG
In a are four dual processor nodes (Huawei TaiShan 200) in the eX3 cluster with the HiSilicon KunPeng 920 processor (64-bit, 64-core, ARM). This makes a total of eight processors with 512 cores. Each Huawei node has 1 TB DDR4 main memory and 4.2 TB local SSD scratch storage

AKIDA NEURAL PROCESSOR
The KunPeng CPU nodes (see above) hosts four Akida Neural Processors from BrainChip. These processors are designed specifically for neuromorphic computing.

Thanks Fmf,

I'd forgotten about this.

eX3 is a Norwegian research project into exascale high performance computing (HPC).
https://www.ex3.simula.no/mission

Together with partners, Simula Research Laboratory has established eX3 to become the previously missing national resource that can prepare researchers for exascale computing in Norway. The eX3 infrastructure is currently funded for five years through the RCN program for national research infrastructures. In addition to the host institution Simula, the project consortium also counts the national HPC management body Sigma2, HPC research groups from the University of Tromsø, NTNU, the University of Bergen, and OsloMet, as well as the HPC technology providers Graphcore, Dolphin Interconnect Solutions, and Numascale.

The eX3 infrastructure is not an exascale computer by itself, but it is a carefully curated ecosystem of technology components that will be crucial for embracing exascale computing. It will allow HPC researchers throughout Norway and their collaborators to experiment hands-on with emerging HPC technologies – hardware as well as software.

The eX3 project is hosted by Simula Research Laboratory and
funded by the Research Council of Norway

At first glance, I thought the reference to 4 Akida neural processors was referring to 4 Akida NPUs or 4 Akida nodes, because 4 Akida 1000s would be a supercomputer on its own, but having 4 Akida 1000s in a research project allows for several simultaneous implementations of experiments to be run in parallel, or one very big project.

 

[Diogenese]

Apple heading for the edge….. (no Brainchip mention)

These Technologies Could Play a Big Role in the iPhone's Future — CNET

The iPhone just turned 15, and these technologies could shape where it goes next.

apple.news

What's Apple's turnover?

 

[Boab]

What's Apple's turnover?

Hopefully it's not going to be Apple crumble.

 

[Frank Zappa]

That was so funny. Well lets hope its row only.

 

[Techinvestor17]

Apple heading for the edge….. (no Brainchip mention)

These Technologies Could Play a Big Role in the iPhone's Future — CNET

The iPhone just turned 15, and these technologies could shape where it goes next.

apple.news

Our relationship with T2MC Is still active per someone’s comment in a prior post (can’t remember who sorry) and these guys also manufacture apple components so there is a slight chance that Brainchip and Apple have been made aware of each other for quite some time now. I can’t quite remember when the T2MC agreement was dated.

 

[Diogenese]

Hopefully it's not going to be Apple crumble.

It's true - delicious as it may be.

 

[Fullmoonfever]

Thanks Fmf,

I'd forgotten about this.

eX3 is a Norwegian research project into exascale high performance computing (HPC).
https://www.ex3.simula.no/mission

Together with partners, Simula Research Laboratory has established eX3 to become the previously missing national resource that can prepare researchers for exascale computing in Norway. The eX3 infrastructure is currently funded for five years through the RCN program for national research infrastructures. In addition to the host institution Simula, the project consortium also counts the national HPC management body Sigma2, HPC research groups from the University of Tromsø, NTNU, the University of Bergen, and OsloMet, as well as the HPC technology providers Graphcore, Dolphin Interconnect Solutions, and Numascale.

The eX3 infrastructure is not an exascale computer by itself, but it is a carefully curated ecosystem of technology components that will be crucial for embracing exascale computing. It will allow HPC researchers throughout Norway and their collaborators to experiment hands-on with emerging HPC technologies – hardware as well as software.

The eX3 project is hosted by Simula Research Laboratory and
funded by the Research Council of Norway

At first glance, I thought the reference to 4 Akida neural processors was referring to 4 Akida NPUs or 4 Akida nodes, because 4 Akida 1000s would be a supercomputer on its own, but having 4 Akida 1000s in a research project allows for several simultaneous implementations of experiments to be run in parallel, or one very big project.

D

I did some digging way back when first found eX3.

What I found interesting is that Huawei have their own Ascend 910 AI chip, DaVinci AI architecture (mentioned prev) and what are called Atlas server range which use the 910 but also some models have the KunPeng 920 which is what eX3 are coupling with Akida.

Particularly the Atlas 800 uses KunPeng.

Why? I'm curious what the scope and desired result sought is via the eX3 project.

Something to dig through on the Huawei side too maybe?

product-solution-l1

e.huawei.com

 

[Cardpro]

Nearly the end of Q2 already, although there wouldn't be much revenue in Q2 other than the ones that has been announced already... I am hoping for a surprise! I wonder wheter we will get paid for the services we provide to integrate akida into the EAP customers products.

 

[Diogenese]

D

I did some digging way back when first found eX3.

What I found interesting is that Huawei have their own Ascend 910 AI chip, DaVinci AI architecture (mentioned prev) and what are called Atlas server range which use the 910 but also some models have the KunPeng 920 which is what eX3 are coupling with Akida.

Particularly the Atlas 800 uses KunPeng.

Why? I'm curious what the scope and desired result sought is via the eX3 project.

Something to dig through on the Huawei side too maybe?

product-solution-l1

e.huawei.com

Hi Fmf,

I think the word "hosts" is determinative:

AKIDA NEURAL PROCESSOR
The KunPeng CPU nodes (see above) hosts four Akida Neural Processors from BrainChip. These processors are designed specifically for neuromorphic computing.

I guess Akida is used as an accelerator to do the heavy lifting with the CNN-type workloads for the separate KunPeng CPU.

https://en.wikichip.org/wiki/hisilicon/kunpeng/920-6426

Kunpeng 920-6426 is a tetrahexaconta-core 64-bit ARM server microprocessor introduced by HiSilicon in early 2019. Fabricated by TSMC on a 7nm HPC process based on the TaiSHan v110 microarchitecture, this chip incorporates 64 cores operating at 2.6 GHz with a TDP of 180 W. This chip supports up to 2 TiB of octa-channel DDR4-2933 memory.