BRN Discussion Ongoing

[DJM263]

Look like they add a couple more companies to our list.
When first published it only had Alway's Ai and Edge impulse if I remember correctly
View attachment 10302

Partner Catalog Results – Arm®

www.arm.com

All I can say is

“We’re gunna need a BIGGER iceberg”

 

[Slymeat]

I reckon the Slope of enlightenment will be a hockey stick.

I totally agree @Diogenese. I have been wondering where Akida was at WRT the hype cycle and I had to draw the conclusion it is everywhere to the left of the Slope of Enlightenment.

Akida itself must be inching on to the Slope Of Enlightenment, down at the hook of what will indeed become a hockey stick.

You’d have to be living under a big rock to know nothing of Akida now. But I accept there are many living under huge rocks and many luddites out there, supplemented by many who just don‘t know how good Akida can be to their ANYTHING. Yes WANKAs are still everywhere. Most businesses will not survive if they remain WANKAs for much longer though.

And as Akida will be ubiquitous, it will always have products and reach into all parts of the hype cycle, forever feeding momentum into BrainChip’s share price growth. What an amazing future!

It truly will be exciting times, leading to VERY long term exponential growth, when some products using Akida do start getting out into the public domain.

 

[Rise from the ashes]

All I can say is

“We’re gunna need a BIGGER iceberg”

I've thought about this a couple of times lately. The end result of my thoughts was we're going to need a few continents.

 

[Slymeat]

Hi Perhaps,

I was a little distracted and went down the Xavier rabbit hole following Fn 2.

However, as you can see, the discussion re Fig. 5 from my previous response applies to Orin. It seems nvidia wouldn't know a spike if they sat on one. They are using 16-bit or 32-bit weights and activations, with their 2-out-of-4 zero cancellation with associated values for their CNN on a ...

“It seems nvidia wouldn't know a spike if they sat on one” - very witty @Diogenese

I had the same thoughts when I read 16 and 32-bit activations and weighting’s!

 

[supersonic001]

BrainChip on LinkedIn: BrainChip and Palantir with strong rebound - How does BioNTech react?

BrainChip and Palantir with strong rebound - How does BioNTech react? https://lnkd.in/gwREyPYe

www.linkedin.com

Holding our own here as strong emerging tech !!

 

[Slymeat]

does somebody knows something about the meaning of this twitter post?

The second reply is also intriguing.

Is the leg graphic implying Akida is getting a leg in?

Do the game console hint at something the 1,000 have been discussing already?

Gaming is a good industry in which Akida could get a leg in—not life threatening and k’uge!

 

[TasTroy77]

[Video] Cerence Inc. on LinkedIn: Cerence Cloud Services in MBUX

The latest version of #MBUX -- Mercedes-Benz User Experience -- powered by Cerence, features seamlessly integrated cloud services and flexible natural language…

www.linkedin.com

View attachment 10297

This is just the MBUX system cloud connected currently available.
2024 is when Mercedes might be planning to integrate Akida into their production models from what had been discussed previously.

 

[Esq.111]

The second reply is also intriguing.

Is the leg graphic implying Akida is getting a leg in?

Do the game console hint at something the 1,000 have been discussing already?

Gaming is a good industry in which Akida could get a leg in—not life threatening and k’uge!


View attachment 10306

Morning Chippers,

The above arm tweet....

Had a very quick look on ARM site and came across this.
Don't think it relates to us, but happy to be proven wrong.

Tweeted 24 June 2022.

@AmpereComputing.com.
Experience incredible 3D cloud gaming performance with Ampere Altra Cloud Native Processor, Nvidia A16 GPU and @Canonical Anbox Android in cloud solution.

Regards,
Esq.

 

[Makeme 2020]

Hailo Collaborates with Renesas.......

AI Chipmaker Hailo Collaborates with Renesas to Enable Automotive Customers to Seamlessly Scale from ADAS to Automated Driving​

Mon, June 27, 2022, 7:00 PM·4 min read


Joint solution is available now to enable powerful, efficient and safe automotive ECUs
TEL AVIV, Israel, June 27, 2022 /PRNewswire/ -- Hailo, the leading edge Artificial Intelligence (AI) chipmaker, today announced its collaboration with Renesas, a premier supplier of advanced semiconductor solutions, to deliver a powerful and energy-efficient processing solution enabling advanced driver-assistance (ADAS) functions and automated driving (AD) systems in motor vehicles. The joint Hailo-Renesas solution will make sophisticated ADAS technology more accessible in cars of all types.

The joint Hailo-Renesas solution will make sophisticated ADAS technology more accessible in cars of all types.
The combination of Hailo-8 processors, designed for heavy Neural Network (NN) acceleration, with the powerful Renesas R-Car V3H & R-Car V4H systems-on-chip (SoCs), powers robust, scalable, efficient, and cost-effective ADAS solutions for zonal and centralized vehicular ECUs. The solutions are scalable for a wide range of ADAS functions from ADAS L2+ up to L4 AD functions requiring very high tera-operations per second (TOPS), while delivering best-in-class TOPS/W.

"ADAS and AD features have proven to be instrumental in minimizing accidents and saving lives. However, technological challenges have caused great difficulties for automakers looking to make such advanced functions accessible in anything but higher-end vehicles," said Orr Danon, CEO and Co-Founder of Hailo. "Together with Renesas, we are offering a solution helping democratize ADAS, so its benefits can be enjoyed by more and more drivers. AI will play a major role in making our roads safer, and with industry leaders like Renesas helping us innovate, we will make driving both safer and more affordable."
"Automotive OEMs are looking for scalable solutions for ADAS and AD to streamline software development," said Yusuke Kawasaki, Director, Automotive Digital Products Marketing Division at Renesas. "We are confident that our collaboration with Hailo, which has expertise in AI technology, will enable our customers to easily extend the performance of the R-Car so that they can flexibly and quickly incorporate ADAS/AD functionality in various classes of vehicles."
Key features for the joint Hailo-Renesas solution include:

• Independent scalability in AI & compute, allowing flexibility and cost-effectiveness for Level 2+ to Level 4 ADAS designs
• The highest performing solution available today in the automotive market, ranging from 60 TOPS to over 170 TOPS for multi-sensor perception and fusion
• Best-in-class power efficiency, enabling ECUs to be passively cooled, which reduces the BOM and system cost
• Functional safety for the ADAS/AD ECU with Renesas R-Car (R-Car V4H is expected to achieve ASIL-B and D metrics for the real-time domain) and Hailo (Hailo-8 supports ASIL B)
• An open software ecosystem allowing OEMs/Tier-1s more control & possibility for innovation

A single Hailo-8™ delivers unprecedented performance to edge devices. Featuring up to 26 TOPS at a typical power consumption of 2.5 W, the chip is built with an innovative architecture that enables edge devices to run sophisticated Deep Learning applications that could previously only run on the cloud. Hailo-8's advanced structure translates into higher performance, lower power, and minimal latency, enabling enhanced privacy and better reliability for smart devices operating at the edge.
Hailo continues to make significant strides in the automotive industry, partnering with industry leaders to create high-performance, scalable AI solutions for automotive Electronic Control Units (ECUs), enabling power-efficient AI acceleration with low energy consumption to advance automotive innovation.
The joint Hailo-Renesas solution is available for customer evaluations and demonstrations. It will be showcased live at Automobil Elektronik Kongress in Ludwigsburg (Germany) on June 28-29.
About Hailo
Hailo, an AI-focused, Israel-based chipmaker, has developed a specialized AI processor that delivers the performance of a data center-class computer to edge devices. Hailo's processor is the product of a rethinking of traditional computer architecture, enabling smart devices to perform sophisticated deep learning tasks such as object detection and segmentation in real-time, with minimal power consumption, size, and cost. The processor is designed to fit into a multitude of smart machines and devices, impacting a variety of sectors including automotive, Industry 4.0, smart cities, smart homes, and retail. For more information visit https://hailo.ai/

 

[Fact Finder]

Morning Chippers,

The above arm tweet....

Had a very quick look on ARM site and came across this.
Don't think it relates to us, but happy to be proven wrong.

Tweeted 24 June 2022.

@AmpereComputing.com.
Experience incredible 3D cloud gaming performance with Ampere Altra Cloud Native Processor, Nvidia A16 GPU and @Canonical Anbox Android in cloud solution.

Regards,
Esq.

Interesting view of Edge computing from ARM blog. The full blog is worth reading and the link is below:

“First, the physical dimensions of the edge will be different from any computing platform before it. Data Centers historically have been centralized and actively managed by employees. Desktops and laptops are examples of distributed computing systems, but the degree of physical control is still very real. Individuals are using them. Edge systems will be out in the wild–attached to wind turbines or inside a sealed box in an urban corridor. There will be a premium on robustness and reliability.

Second, edge systems will also place a high premium on low latency. Health care organizations will use edge devices to monitor remote patients in real-time. We will see edge systems running diagnostics of airplanes in flight. Low latency will enhance the value of these systems. But, again, unless we get the foundation set correctly, the adoption curve will be challenging”

Bringing the edge to work with LF Edge

This blog discusses the mission and opportunity for standardizing the edge.

community.arm.com

My opinion only DYOR
FF

AKIDA BALLISTA

 

[FabricatedLunacy]

Interesting view of Edge computing from ARM blog. The full blog is worth reading and the link is below:

“First, the physical dimensions of the edge will be different from any computing platform before it. Data Centers historically have been centralized and actively managed by employees. Desktops and laptops are examples of distributed computing systems, but the degree of physical control is still very real. Individuals are using them. Edge systems will be out in the wild–attached to wind turbines or inside a sealed box in an urban corridor. There will be a premium on robustness and reliability.

Second, edge systems will also place a high premium on low latency. Health care organizations will use edge devices to monitor remote patients in real-time. We will see edge systems running diagnostics of airplanes in flight. Low latency will enhance the value of these systems. But, again, unless we get the foundation set correctly, the adoption curve will be challenging”

Bringing the edge to work with LF Edge

This blog discusses the mission and opportunity for standardizing the edge.

community.arm.com

My opinion only DYOR
FF

AKIDA BALLISTA

Hailo Collaborates with Renesas.......

AI Chipmaker Hailo Collaborates with Renesas to Enable Automotive Customers to Seamlessly Scale from ADAS to Automated Driving​

Mon, June 27, 2022, 7:00 PM·4 min read


Joint solution is available now to enable powerful, efficient and safe automotive ECUs
TEL AVIV, Israel, June 27, 2022 /PRNewswire/ -- Hailo, the leading edge Artificial Intelligence (AI) chipmaker, today announced its collaboration with Renesas, a premier supplier of advanced semiconductor solutions, to deliver a powerful and energy-efficient processing solution enabling advanced driver-assistance (ADAS) functions and automated driving (AD) systems in motor vehicles. The joint Hailo-Renesas solution will make sophisticated ADAS technology more accessible in cars of all types.

The joint Hailo-Renesas solution will make sophisticated ADAS technology more accessible in cars of all types.
The combination of Hailo-8 processors, designed for heavy Neural Network (NN) acceleration, with the powerful Renesas R-Car V3H & R-Car V4H systems-on-chip (SoCs), powers robust, scalable, efficient, and cost-effective ADAS solutions for zonal and centralized vehicular ECUs. The solutions are scalable for a wide range of ADAS functions from ADAS L2+ up to L4 AD functions requiring very high tera-operations per second (TOPS), while delivering best-in-class TOPS/W.

"ADAS and AD features have proven to be instrumental in minimizing accidents and saving lives. However, technological challenges have caused great difficulties for automakers looking to make such advanced functions accessible in anything but higher-end vehicles," said Orr Danon, CEO and Co-Founder of Hailo. "Together with Renesas, we are offering a solution helping democratize ADAS, so its benefits can be enjoyed by more and more drivers. AI will play a major role in making our roads safer, and with industry leaders like Renesas helping us innovate, we will make driving both safer and more affordable."
"Automotive OEMs are looking for scalable solutions for ADAS and AD to streamline software development," said Yusuke Kawasaki, Director, Automotive Digital Products Marketing Division at Renesas. "We are confident that our collaboration with Hailo, which has expertise in AI technology, will enable our customers to easily extend the performance of the R-Car so that they can flexibly and quickly incorporate ADAS/AD functionality in various classes of vehicles."
Key features for the joint Hailo-Renesas solution include:

• Independent scalability in AI & compute, allowing flexibility and cost-effectiveness for Level 2+ to Level 4 ADAS designs
• The highest performing solution available today in the automotive market, ranging from 60 TOPS to over 170 TOPS for multi-sensor perception and fusion
• Best-in-class power efficiency, enabling ECUs to be passively cooled, which reduces the BOM and system cost
• Functional safety for the ADAS/AD ECU with Renesas R-Car (R-Car V4H is expected to achieve ASIL-B and D metrics for the real-time domain) and Hailo (Hailo-8 supports ASIL B)
• An open software ecosystem allowing OEMs/Tier-1s more control & possibility for innovation

A single Hailo-8™ delivers unprecedented performance to edge devices. Featuring up to 26 TOPS at a typical power consumption of 2.5 W, the chip is built with an innovative architecture that enables edge devices to run sophisticated Deep Learning applications that could previously only run on the cloud. Hailo-8's advanced structure translates into higher performance, lower power, and minimal latency, enabling enhanced privacy and better reliability for smart devices operating at the edge.
Hailo continues to make significant strides in the automotive industry, partnering with industry leaders to create high-performance, scalable AI solutions for automotive Electronic Control Units (ECUs), enabling power-efficient AI acceleration with low energy consumption to advance automotive innovation.
The joint Hailo-Renesas solution is available for customer evaluations and demonstrations. It will be showcased live at Automobil Elektronik Kongress in Ludwigsburg (Germany) on June 28-29.
About Hailo
Hailo, an AI-focused, Israel-based chipmaker, has developed a specialized AI processor that delivers the performance of a data center-class computer to edge devices. Hailo's processor is the product of a rethinking of traditional computer architecture, enabling smart devices to perform sophisticated deep learning tasks such as object detection and segmentation in real-time, with minimal power consumption, size, and cost. The processor is designed to fit into a multitude of smart machines and devices, impacting a variety of sectors including automotive, Industry 4.0, smart cities, smart homes, and retail. For more information visit https://hailo.ai/

“Stock Disclosure:
BRN 10X MICROSOFT.............$$$$$$$$$$$$$..........HELD”

Yes please . At 10x I would retire with more than I could ever sensibly spend.

At best this has the potential to be truly life changing even with my modest units. At worst it’ll clear parts or most of our mortgage. At any rate it’s better than any lotto ticket I ever played

Personally I just top up every month. Avoid too many looks at SP.

Akida balista!! And yes this is my personal opinion. DYOR .

 

[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