BRN Discussion Ongoing

[Space Cadet]

Yeah same me, i thing most people here feel the same. Diogenese love your input and high end posts, but sometimes.

I CARNT SPEEKA YOOR LANGUWICH !

Have a great day all, by the way my top up got hit yesterday, i hope my wife doesn’t read TSE cos she wants a new fridge and washing machine, i guess it needs to wait now. wish me luck or a prayer.

If you wait just a little longer it may have "Akida Inside". Well one could only hope!

SC

 

[Bravo]

6.20 mins

"Later this year we will decide on a partner to further develop our AI technology". Markus Shafer (CEO Mercedes)




They've already announced NVIDIA, so it can't be them he's referring to. Sooooo....

 

[DingoBorat]

6.20 mins

"Later this year we will decide on a partner to further develop our AI technology". Markus Shafer (CEO Mercedes)




They've already announced NVIDIA, so it can't be them he's referring to. Sooooo....

View attachment 54344

We're already a partner Bravo

 

[toasty]

We're already a partner Bravo

But the marriage hasn't been consummated yet......so not official..........

 

[Bravo]

Wow! This is a must watch video!

23.10 - Jensen Huang


"We are going to build this fleet like no other fleet has been built.

We're going to put into and adapt into this fleet of Mercedes-Benz the most powerful computer in the world at it's time and it will have plenty of headroom.

It's still being designed.

Hundreds of engineers are currently designing that processor and it will go into a computer that will be outfitted into the entire fleet.

In no time in history has so much computing power been put into a car."







PS: How in the heck are they going to manage all of that massive compute power but still allow the vehicles to maintain high-level efficiency?

PPS: I wonder if they'll look towards the solution they discovered with the Vision EXQQ and its incredible efficiency?

 

[Bravo]

Oh yeah!

At about 19.20 mins into the video, Jensen also says something along the lines that he hopes that this technical capability will be adopted by a large number of companies, so as to be standardized across the industry. And that it will completely transform and revolutionise the entire industry.

Yeah, so no biggy really.

 

[Labsy]

6.20 mins

"Later this year we will decide on a partner to further develop our AI technology". Markus Shafer (CEO Mercedes)




They've already announced NVIDIA, so it can't be them he's referring to. Sooooo....

View attachment 54344

I only hope they weren't put off by all the childish spamming and idiotic, relentless questions about brainchip on social media etc... I really do hope thats not the case. Im worried we have infact become a meme stock... Just sit back and let management do their thing. Ive said it from the start...
Edit: This is not directed at you Bravo. Love your work. Mainly a certain" verification engineer"...all over the network.

 

[Diogenese]

Wow! This is a must watch video!

23.10 - Jensen Huang


"We are going to build this fleet like no other fleet has been built.

We're going to put into and adapt into this fleet of Mercedes-Benz the most powerful computer in the world at it's time and it will have plenty of headroom.

It's still being designed.

Hundreds of engineers are currently designing that processor and it will go into a computer that will be outfitted into the entire fleet.

In no time in history has so much computing power been put into a car."







PS: How in the heck are they going to manage all of that massive compute power but still allow the vehicles to maintain high-level efficiency?


View attachment 54345


PPS: I wonder if they'll look towards the solution they discovered with the Vision EXQQ and its incredible efficiency?

View attachment 54346
View attachment 54347
View attachment 54348

If it is still being designed, that leaves scope for inclusion of recently developed IP which is processor agnostic and significantly more efficient than Akida 1.

https://brainchip.com/brainchip-mak...ilable-to-advance-state-of-edge-ai-solutions/

BrainChip Makes Second-Generation Akida Platform Available to Advance State of Edge AI Solutions​

Laguna Hills, Calif. – OCTOBER 3, 2023 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, today announced the Early Access availability of its second-generation Akida™ IP solution for use in a wide range of applications across the Smart Home, Smart City, Industrial and Automotive markets.

The 2nd generation Akida platform is designed for extremely energy-efficient processing of complex neural network models on Edge devices. The support for 8-bit weights, activations, and long-range skip connections expands the reach of models that are accelerated completely in Akida’s hardware. With the exponential increase in Cloud compute requirements for AI compounded by the growth of Generative AI, the move towards Hybrid AI solutions needs more capable and efficient compute at the Edge.

The introduction of Temporal Event Based Neural Nets (TENNs) revolutionizes the advanced sequential processing for multi-dimensional streaming and time-series data. This can radically reduce model size and improve performance, as well as efficiency, without compromising accuracy, which is an important consideration for Edge devices. Reducing the model size and improving compute density by order of magnitude, allows more capable AI use cases to compute closer to sensor in a more secure fashion.

Combining this with hardware acceleration of Vision Transformers (ViT) models, which boosts vision performance, unlocks the potential to create game-changing Edge devices that can process advanced vision and video applications in milliwatts or audio and other similar applications in microwatts at the sensor.

“Generative AI and LLMs at the Edge are key to intelligent situational awareness in verticals from manufacturing to healthcare to defense,” said Jean-Luc Chatelain, MD of Verax Capital Advisors and former MD and Global CTO at Accenture Applied Intelligence. “Disruptive innovation like BrainChip TENNs support Vision Transformers built on the foundation of neuromorphic principles, can deliver compelling solutions in ultra-low power, small form factor devices at the Edge, without compromising accuracy.”

The second generation MetaTF software enables developers to evaluate the capabilities of Akida, optimize, and customize their designs to get a head start on architecting their System on a Chip (SoC) along with their software solutions. In addition to TensorFlow, MetaTF will support ONNX which allows for greater compatibility across various frameworks including PyTorch.

“Multimodal Edge AI is an irreversible trend, and it is intensifying the demands on intelligent compute required from Edge devices,” said Zach Shelby, CEO Edge Impulse. “We’re excited that the 2nd Generation Akida addresses the critical elements of performance, efficiency, accuracy, and reliability needed to accelerate this transition. Most importantly, BrainChip has been a strategic partner that has collaborated closely with Edge Impulse to make their solutions easy to integrate, develop and deploy to the market.”

Akida processors power the next generation of Edge AI devices that enable growth in intelligence in industrial, home, automotive and other IoT environments. Akida’s fully digital, customizable, event-based neural processing solution is ideal for advanced intelligent sensing, medical monitoring and prediction, high-end video-object detection and more. Along with its extreme efficiency, accuracy and performance, Akida also has a unique ability to securely learn on-device without the need for cloud retraining.

“This is a significant step in BrainChip’s vision to bring unprecedented AI processing power to Edge devices, untethered from the cloud,” said Sean Hehir, CEO, BrainChip. “With Akida’s 2nd generation in advanced engagements with target customers, and MetaTF enabling early evaluation for a broader market, we are excited to accelerate the market towards the promise of Edge AI”.

So MetaTF 2 has been available since before October 2023. In fact it was announced in March 2023 ;

https://brainchip.com/brainchip-introduces-second-generation-akida-platform/

BrainChip Introduces Second-Generation Akida Platform​

Introduces Vision Transformers and Spatial-Temporal Convolution for radically fast, hyper-efficient and secure Edge AIoT products, untethered from the cloud
Laguna Hills, Calif. – March 6, 2023 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, neuromorphic AI IP, today announced the second generation of its Akida™ platform that drives extremely efficient and intelligent edge devices for the Artificial Intelligence of Things (AIoT) solutions and services market that is expected to be $1T+ by 2030. This hyper-efficient yet powerful neural processing system, architected for embedded Edge AI applications, now adds efficient 8-bit processing to go with advanced capabilities such as time domain convolutions and vision transformer acceleration, for an unprecedented level of performance in sub-watt devices, taking them from perception towards cognition.
...
“Our customers wanted us to enable expanded predictive intelligence, target tracking, object detection, scene segmentation, and advanced vision capabilities. This new generation of Akida allows designers and developers to do things that were not possible before in a low-power edge device,” said Sean Hehir, BrainChip CEO. “By inferring and learning from raw sensor data, removing the need for digital signal pre-processing, we take a substantial step toward providing a cloudless Edge AI experience.”

Our customers "requested" the Akida 2 incorporate developments which expand predictive intelligence, target tracking, object detection, scene segmentation, and advanced vision capabilities.

We have a couple of rolled gold automotive customers, Valeo and MB, who could benefit from these capabilities, and MB is gearing up to announce a processor development partner in the near future, so fingers crossed ...

PS: Has anyone mentioned

WO2023250092A1 METHOD AND SYSTEM FOR PROCESSING EVENT-BASED DATA IN EVENT-BASED SPATIOTEMPORAL NEURAL NETWORKS 20220622 and

WO2023250093A1 METHOD AND SYSTEM FOR IMPLEMENTING TEMPORAL CONVOLUTION IN SPATIOTEMPORAL NEURAL NETWORK 20220622 ?



PPS: These patents date from June 2022, so they were in development for at least 6 months before that, meaning that BRN has been working on these developments since at least the start of 2022, which is when the EQXX emerged. So, even while the EQXX was still a chrysalis, BRN was already plotting Akida 2. This ties in with the MB statement when EQXX was disclosed that neuromorphic computing was still in its infancy. MB knew that big things were in the pipeline, even though Akida 1 gave remarkable performance above the available alternatives. They let slip about Akida 1, but were they already aware of Akida 2?

 

[Bravo]

If it is still being designed, that leaves scope for inclusion of recently developed IP which is processor agnostic and significantly more efficient than Akida 1.

https://brainchip.com/brainchip-mak...ilable-to-advance-state-of-edge-ai-solutions/

BrainChip Makes Second-Generation Akida Platform Available to Advance State of Edge AI Solutions​

Laguna Hills, Calif. – OCTOBER 3, 2023 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, today announced the Early Access availability of its second-generation Akida™ IP solution for use in a wide range of applications across the Smart Home, Smart City, Industrial and Automotive markets.

The 2nd generation Akida platform is designed for extremely energy-efficient processing of complex neural network models on Edge devices. The support for 8-bit weights, activations, and long-range skip connections expands the reach of models that are accelerated completely in Akida’s hardware. With the exponential increase in Cloud compute requirements for AI compounded by the growth of Generative AI, the move towards Hybrid AI solutions needs more capable and efficient compute at the Edge.

The introduction of Temporal Event Based Neural Nets (TENNs) revolutionizes the advanced sequential processing for multi-dimensional streaming and time-series data. This can radically reduce model size and improve performance, as well as efficiency, without compromising accuracy, which is an important consideration for Edge devices. Reducing the model size and improving compute density by order of magnitude, allows more capable AI use cases to compute closer to sensor in a more secure fashion.

Combining this with hardware acceleration of Vision Transformers (ViT) models, which boosts vision performance, unlocks the potential to create game-changing Edge devices that can process advanced vision and video applications in milliwatts or audio and other similar applications in microwatts at the sensor.

“Generative AI and LLMs at the Edge are key to intelligent situational awareness in verticals from manufacturing to healthcare to defense,” said Jean-Luc Chatelain, MD of Verax Capital Advisors and former MD and Global CTO at Accenture Applied Intelligence. “Disruptive innovation like BrainChip TENNs support Vision Transformers built on the foundation of neuromorphic principles, can deliver compelling solutions in ultra-low power, small form factor devices at the Edge, without compromising accuracy.”

The second generation MetaTF software enables developers to evaluate the capabilities of Akida, optimize, and customize their designs to get a head start on architecting their System on a Chip (SoC) along with their software solutions. In addition to TensorFlow, MetaTF will support ONNX which allows for greater compatibility across various frameworks including PyTorch.

“Multimodal Edge AI is an irreversible trend, and it is intensifying the demands on intelligent compute required from Edge devices,” said Zach Shelby, CEO Edge Impulse. “We’re excited that the 2nd Generation Akida addresses the critical elements of performance, efficiency, accuracy, and reliability needed to accelerate this transition. Most importantly, BrainChip has been a strategic partner that has collaborated closely with Edge Impulse to make their solutions easy to integrate, develop and deploy to the market.”

Akida processors power the next generation of Edge AI devices that enable growth in intelligence in industrial, home, automotive and other IoT environments. Akida’s fully digital, customizable, event-based neural processing solution is ideal for advanced intelligent sensing, medical monitoring and prediction, high-end video-object detection and more. Along with its extreme efficiency, accuracy and performance, Akida also has a unique ability to securely learn on-device without the need for cloud retraining.

“This is a significant step in BrainChip’s vision to bring unprecedented AI processing power to Edge devices, untethered from the cloud,” said Sean Hehir, CEO, BrainChip. “With Akida’s 2nd generation in advanced engagements with target customers, and MetaTF enabling early evaluation for a broader market, we are excited to accelerate the market towards the promise of Edge AI”.

So MetaTF 2 has been available since before October 2023. In fact it was announced in March 2023 ;

https://brainchip.com/brainchip-introduces-second-generation-akida-platform/

BrainChip Introduces Second-Generation Akida Platform​

Introduces Vision Transformers and Spatial-Temporal Convolution for radically fast, hyper-efficient and secure Edge AIoT products, untethered from the cloud
Laguna Hills, Calif. – March 6, 2023 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, neuromorphic AI IP, today announced the second generation of its Akida™ platform that drives extremely efficient and intelligent edge devices for the Artificial Intelligence of Things (AIoT) solutions and services market that is expected to be $1T+ by 2030. This hyper-efficient yet powerful neural processing system, architected for embedded Edge AI applications, now adds efficient 8-bit processing to go with advanced capabilities such as time domain convolutions and vision transformer acceleration, for an unprecedented level of performance in sub-watt devices, taking them from perception towards cognition.
...
“Our customers wanted us to enable expanded predictive intelligence, target tracking, object detection, scene segmentation, and advanced vision capabilities. This new generation of Akida allows designers and developers to do things that were not possible before in a low-power edge device,” said Sean Hehir, BrainChip CEO. “By inferring and learning from raw sensor data, removing the need for digital signal pre-processing, we take a substantial step toward providing a cloudless Edge AI experience.”

Our customers "requested" the Akida 2 incorporate developments which expand predictive intelligence, target tracking, object detection, scene segmentation, and advanced vision capabilities.

We have a couple of rolled gold automotive customers, Valeo and MB, who could benefit from these capabilities, and MB is gearing up to announce a processor development partner in the near future, so fingers crossed ...

PS: Has anyone mentioned

WO2023250092A1 METHOD AND SYSTEM FOR PROCESSING EVENT-BASED DATA IN EVENT-BASED SPATIOTEMPORAL NEURAL NETWORKS 20220622 and

WO2023250093A1 METHOD AND SYSTEM FOR IMPLEMENTING TEMPORAL CONVOLUTION IN SPATIOTEMPORAL NEURAL NETWORK 20220622 ?

That would be TENNs out of TEN if that were to happen, wouldn't it Dodgy-knees?!!!

 

[Bravo]

If it is still being designed, that leaves scope for inclusion of recently developed IP which is processor agnostic and significantly more efficient than Akida 1.

https://brainchip.com/brainchip-mak...ilable-to-advance-state-of-edge-ai-solutions/

BrainChip Makes Second-Generation Akida Platform Available to Advance State of Edge AI Solutions​

Laguna Hills, Calif. – OCTOBER 3, 2023 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, today announced the Early Access availability of its second-generation Akida™ IP solution for use in a wide range of applications across the Smart Home, Smart City, Industrial and Automotive markets.

The 2nd generation Akida platform is designed for extremely energy-efficient processing of complex neural network models on Edge devices. The support for 8-bit weights, activations, and long-range skip connections expands the reach of models that are accelerated completely in Akida’s hardware. With the exponential increase in Cloud compute requirements for AI compounded by the growth of Generative AI, the move towards Hybrid AI solutions needs more capable and efficient compute at the Edge.

The introduction of Temporal Event Based Neural Nets (TENNs) revolutionizes the advanced sequential processing for multi-dimensional streaming and time-series data. This can radically reduce model size and improve performance, as well as efficiency, without compromising accuracy, which is an important consideration for Edge devices. Reducing the model size and improving compute density by order of magnitude, allows more capable AI use cases to compute closer to sensor in a more secure fashion.

Combining this with hardware acceleration of Vision Transformers (ViT) models, which boosts vision performance, unlocks the potential to create game-changing Edge devices that can process advanced vision and video applications in milliwatts or audio and other similar applications in microwatts at the sensor.

“Generative AI and LLMs at the Edge are key to intelligent situational awareness in verticals from manufacturing to healthcare to defense,” said Jean-Luc Chatelain, MD of Verax Capital Advisors and former MD and Global CTO at Accenture Applied Intelligence. “Disruptive innovation like BrainChip TENNs support Vision Transformers built on the foundation of neuromorphic principles, can deliver compelling solutions in ultra-low power, small form factor devices at the Edge, without compromising accuracy.”

The second generation MetaTF software enables developers to evaluate the capabilities of Akida, optimize, and customize their designs to get a head start on architecting their System on a Chip (SoC) along with their software solutions. In addition to TensorFlow, MetaTF will support ONNX which allows for greater compatibility across various frameworks including PyTorch.

“Multimodal Edge AI is an irreversible trend, and it is intensifying the demands on intelligent compute required from Edge devices,” said Zach Shelby, CEO Edge Impulse. “We’re excited that the 2nd Generation Akida addresses the critical elements of performance, efficiency, accuracy, and reliability needed to accelerate this transition. Most importantly, BrainChip has been a strategic partner that has collaborated closely with Edge Impulse to make their solutions easy to integrate, develop and deploy to the market.”

Akida processors power the next generation of Edge AI devices that enable growth in intelligence in industrial, home, automotive and other IoT environments. Akida’s fully digital, customizable, event-based neural processing solution is ideal for advanced intelligent sensing, medical monitoring and prediction, high-end video-object detection and more. Along with its extreme efficiency, accuracy and performance, Akida also has a unique ability to securely learn on-device without the need for cloud retraining.

“This is a significant step in BrainChip’s vision to bring unprecedented AI processing power to Edge devices, untethered from the cloud,” said Sean Hehir, CEO, BrainChip. “With Akida’s 2nd generation in advanced engagements with target customers, and MetaTF enabling early evaluation for a broader market, we are excited to accelerate the market towards the promise of Edge AI”.

So MetaTF 2 has been available since before October 2023. In fact it was announced in March 2023 ;

https://brainchip.com/brainchip-introduces-second-generation-akida-platform/

BrainChip Introduces Second-Generation Akida Platform​

Introduces Vision Transformers and Spatial-Temporal Convolution for radically fast, hyper-efficient and secure Edge AIoT products, untethered from the cloud
Laguna Hills, Calif. – March 6, 2023 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, neuromorphic AI IP, today announced the second generation of its Akida™ platform that drives extremely efficient and intelligent edge devices for the Artificial Intelligence of Things (AIoT) solutions and services market that is expected to be $1T+ by 2030. This hyper-efficient yet powerful neural processing system, architected for embedded Edge AI applications, now adds efficient 8-bit processing to go with advanced capabilities such as time domain convolutions and vision transformer acceleration, for an unprecedented level of performance in sub-watt devices, taking them from perception towards cognition.
...
“Our customers wanted us to enable expanded predictive intelligence, target tracking, object detection, scene segmentation, and advanced vision capabilities. This new generation of Akida allows designers and developers to do things that were not possible before in a low-power edge device,” said Sean Hehir, BrainChip CEO. “By inferring and learning from raw sensor data, removing the need for digital signal pre-processing, we take a substantial step toward providing a cloudless Edge AI experience.”

Our customers "requested" the Akida 2 incorporate developments which expand predictive intelligence, target tracking, object detection, scene segmentation, and advanced vision capabilities.

We have a couple of rolled gold automotive customers, Valeo and MB, who could benefit from these capabilities, and MB is gearing up to announce a processor development partner in the near future, so fingers crossed ...

PS: Has anyone mentioned

WO2023250092A1 METHOD AND SYSTEM FOR PROCESSING EVENT-BASED DATA IN EVENT-BASED SPATIOTEMPORAL NEURAL NETWORKS 20220622 and

WO2023250093A1 METHOD AND SYSTEM FOR IMPLEMENTING TEMPORAL CONVOLUTION IN SPATIOTEMPORAL NEURAL NETWORK 20220622 ?



PPS: These patents date from June 2022, so they were in development for at least 6 months before that, meaning that BRN has been working on these developments since at least the start of 2022, which is when the EQXX emerged. So, even while the EQXX was still a chrysalis, BRN was already plotting Akida 2. This ties in with the MB statement when EQXX was disclosed that neuromorphic computing was still in its infancy. MB knew that big things were in the pipeline, even though Akida 1 gave remarkable performance above the available alternatives. They let slip about Akida 1, but were they already aware of Akida 2?

This would make sense given the reduced energy consumption achieved at 5.2 per kilowatt hour in the CLA Class (despite it having extra AI paraphernalia, or should I say "the latest AI technologies" such as Chat GPT, the new gaming system, the new MBUX Sound Drive, the new virtual assistant, etc) as compared to the Vision EQXX at 7.5 miles per kilowatt hour.


1.

Mercedes Applies Neuromorphic Computing in EV Concept Car By Sally Ward-Foxton 01.18.2022 ​

2.

3.

https://www.eetimes.com/mercedes-applies-neuromorphic-computing-in-ev-concept-car/

 

[genyl]

Painchip is the real name of the company. SP reflecting the companys performance which is basicly trash

 

[Earlyrelease]

Painchip is the real name of the company. SP reflecting the companys performance which is basicly trash


genyl

Hey you could be onto something here. Yip all those shareholders that listen to crap posts and are influenced by scaremongering posters and are pressured into doing irrational things will be feeling some pain towards the end of the year.

I just wish people can do their own research and maybe take the second guessing out of nefarious posts.

 

[Therealcookiemonster]

My thoughts scrolling on TSE today looking for some insights/news about Brainchip

Just imagine if all of the buys were real, we would be back in the 20's if they just bit the bullet and changed their orders to at market. Oh well, time to stop dreaming and get back to work.

View attachment 54339

"Forget the buyers... I can't believe there are people willing to sell their shares... especially at these prices. I wonder who could possibly be willing to sell?"

Painchip is the real name of the company. SP reflecting the companys performance which is basicly trash

"Aaaahhhh... makes sense"

 

[Pom down under]

The webcast was in December so available to watch if you register, which I haven’t.

Online event: ST Edge AI Summit – EMEA – STMicroelectronics

content.st.com

 

[Cgc516]

What else can we do? Come on BrainChip, don’t keep silence!

 

[DingoBorat]

My thoughts scrolling on TSE today looking for some insights/news about Brainchip


"Forget the buyers... I can't believe there are people willing to sell their shares... especially at these prices. I wonder who could possibly be willing to sell?"



"Aaaahhhh... makes sense"

"Forget the buyers... I can't believe there are people willing to sell their shares... especially at these prices. I wonder who could possibly be willing to sell?"

Maybe, roughly in this order..

Shorters and other manipulators.
LDA Capital.
Traders backing out.
Those forced to sell for expenses.
Those that have lost their patience.
Selling due to opportunity cost.
Selling due to fear.

Most, are possibly..

Waiting patiently.
Waiting impatiently.
Wanting to buy more.
Buying (good after bad?).

Right now, BrainChip as a Company, with no financial stress, only has opportunity in front of them.

So as you said, no good reason to sell, but selling factors outweigh buying, at the moment.

The share price, is actually the most stable it's been, in a long time (3 year chart).
I think, it's waiting for a catalyst for a breakout, which could occur at any time.

 

[wasMADX]

I think what we need to remember, and is how I look at it anyway, is that whilst it is a tradeshow, CES is the "Consumer Electronics Show".

This says to me that most of the actual "exhibitors" are showing off their end user products, things consumers can buy now or near term etc.

The suites appear to be the real tradeshow where OEMs, tech companies, suppliers, component manufacturers etc have the nuts and bolts displays and demos to attract new clients, partners etc rather than investors.

Obviously, investment may pop up as a side discussion however I would think that would be the domain of Broker investor meetings or direct one on ones between interested companies.

Individual investors would be the ones milling around the exhibition wide eyed at new tech products and not really exposed to the suites anyway.

So for me, I wasn't expecting any SP change much unless an actual Ann came out but I do expect that these suite meetings have encouraged other companies to explore Akida and engage with us over and above the few reveals we did also get.

And, that those reveals are closer to firm commitments than not.

OK, so I said " I'm VERY disappointed that the share price has gone nowhere after the C.E.S., to which Wiltzy said "Where was it supposed to go? LOL. Perhaps I am the naive one, and you will enlighten me as to where it should have gone and why."

Fullmoonfever has clarified and I believe he's correct i.e. CES is a trade show & that's where I was wrong Wiltzy.

NOW, trying to be constructive, I still believe there was an opportunity missed at the CES.
I suggest that at future shows like the CES, we could have the best of both worlds.

Have a person or persons demoing, and another discussing investing in us. Have the booth clearly set up between the two and I reckon some visitors would see the demo, go off, thinking, then, realising the potential, and having subliminally noticed the investing idea, would come back for info. We could also be a bit naughty by employing a crowd enthusiastically jostling and calling out "how can I invest".

 

[AI_Inquirer]

Apologies if this has already been shared or is not a recent update, but is the image on the Brainchip CES page showcasing the Onsemi demo a new addition?

 

[Bravo]

This is a cool article to revisit, especially considering we are partnered with no less than 5 companies on Apple's Supplier List (link below) including Infineon, MegaChips, Microchip, Onsemi and Renesas.

Morgan Stanley: It’s when, not if, Apple will deliver AI on the edge​

BY JONNY EVANS · NOVEMBER 8, 2023

Apple has an opportunity to cruise ahead of the pack when it comes to Generative AI, argues Morgan Stanley’s Erik Woodring in his latest client note. I agree. Here’s the basic proposition to this.

Leading from behind​

We know Apple appears to lag its rivals when it comes to the application of Generative AI, but there are problems with those technologies that haven’t yet been fully resolved.
One of these challenges is privacy and the need to protect it. That’s where Woodring has the chance to create a powerful system that combines the best of AI with the best of privacy. Essentially, he thinks (as I do) that the natural evolution for Apple here is to develop AI at the Edge.

He thinks this kind of edge-based intelligence will become more important over the next twelve months as new products appear and new killer apps turn up. Apple’s advantages for this include its massive user base, focus on privacy, and the high degree of integration across its products and services. Those advantages may turn into Edge AI benefits, he argues.
We can’t be certain Apple is working on this, nor can we accurately predict when such tech may appear, but the analyst sees Generative AI in Siri and Edge Intelligence as positive paths for the company’s research, moving forward.

Why does this matter?​

It matters, “Because 50% of all enterprise data will be created at the edge, according to Gartner, leaving open an opportunity for hardware OEMs to come to market with a new generation of smart devices to power AI at the edge,” said the analyst.
He thinks this is an opportunity for Apple, which he describes as an ‘Edge AI Enabler’. He also thinks that if Apple succeeds it will unlock huge long term benefits.
It’s not just about the enterprise.
Inevitably as consumers get to understand GAI, they too will become concerned about the impact of unregulated intelligence on their lives.
They too will want better and faster results, more personalization, and more availability.
The analyst also argues that while an iPhone doesn’t really provide the equivalent processing as a server ban, Apple’s super-fast chips can process 35 trillion operations per second, which should be enough to power LLMs “up to high single digit billions of parameters,” on the device itself.
“We expect new battery tech, silicon, and edge devices to emerge in 2024 (and beyond), helping to spark investor interest in this theme,” he wrote.

Apple’s advantages​

To achieve this, Apple can deploy existing advantages including:

• Number of Apple devices in use
• Powerful processors and integrated hardware/software.
• Its existing data privacy focus and market tested approach to maintaining that.
• Siri can benefit from its own LLM models.
• Apple can also find focused ways to deploy AI to support its existing hardware, think Fall Detection or Face ID.

Apple also has the money to invest in the project. “Apple’s emergence as a leading provider of AI at the edge is a matter of “when” not “if”,” he writes. Siri, Xcode, AI in Apple’s iWork suite, and future Apple-powered apps for health, finance, and fitness are all logical domains for this kind of AI he argues (I agree). He also imagines a Siri+ subscription service as one way to monetise what Apple could be building.

Apple is recruiting​

The analyst shares that AI-related job postings at Apple have risen from 5% of total Apple job postings in c.2015 to around 20% today, “with an increased focus on “Natural Language Processing (NLP)” and “Deep Learning” skill sets that make up 20-40% of Apple’s AI job postings today.”
“We see this as clear confirmation of Apple’s AI intentions,” the analyst said.
We suspect that WWDC 2024 may turn out to be a good chance to see some of the first wave of Apple’s next-generation ‘Edge AI’ apps.

Morgan Stanley: It’s when, not if, Apple will deliver AI on the edge – Apple Must

www.applemust.com

https://www.apple.com/nz/supplier-responsibility/pdf/Apple-Supplier-List.pdf

 

[Bravo]

And this article published a few days ago.

Apple will seize the ‘AI opportunity’ at WWDC, analyst says​

BY JONNY EVANS · JANUARY 11, 2024

Morgan Stanley analyst Erik Woodring believes this will be the year in which Apple will seize the ‘Edge AI’ opportunity, introducing its take on LLM Generative AI even as the entire computer industry slips toward “AI inside”. It’s probable that Apple’s deployment will be more than skin deep, given the power and performance of Macs and other Apple devices already in use today.

Why this matters to Apple​

Woodring makes numerous pertinent points on how Apple will bring this kind of intelligence to market and what that means.
“We believe Apple is one of 6 key companies that will benefit from compute being pushed to “The Edge” to enable new Gen AI-driven features not currently available on consumer devices,” the analyst recently wrote. “We believe Apple’s efforts to bring these features to market are accelerating, increasingly the likelihood of an “AI iPhone” launch as soon as Fall 2024.”

He noted that 49% of Apple’s AI job postings cite Deep Learning experience, while 23% of them seek NLP talent.
Siri 2.0 will be LLM-powered, he says, but points to a “broader Gen AI-enabled operating system,” he thinks will be introduced at WWDC in June. He notes Apple’s recent move to invent a tech to let LLMs work well on devices.

When the tech does see the light of day, the analyst thinks this will boost Apple’s iPhone sales.
The idea behind this being that a Gen AI enabled OS upgrade may accelerate iPhone upgrades in a similar way the first 5G iPhones boosted them. The tech may also accelerate Services spend per user, “which stands at just $8 per month today,” he told clients.
But perhaps the biggest and most important component of the overall plan will be the ability to run AI at the edge. That’s gonna be the golden ticket for Apple, I think.