BRN Discussion Ongoing

[Fullmoonfever]

The first announcement said both would sell it.

Cool thanks.

So wonder what model they will work under then as @Xray1 pointed out originally.

Reseller, distributor, margin, split etc.

 

[Diogenese]

Cool thanks.

So wonder what model they will work under then as @Xray1 pointed out originally.

Reseller, distributor, margin, split etc.

Commercial-in-Confidence

 

[DingoBorat]

Does anybody know of Brainchip's expectations with such a box,
Or is it another way of getting Brainchip's brand out there in the marketplace?

"Or is it another way of getting Brainchip's brand out there in the marketplace?"

Pretty much what you said, I don't think the Company has big expectations, of this in the market place.

But it will rock the boat a bit, in comparison to other companies offerings and hopefully get the ball rolling more, in the IP sales stakes

 

[Pom down under]

Does anybody know of Brainchip's expectations with such a box,
Or is it another way of getting Brainchip's brand out there in the marketplace?

 

[Kachoo]

I laugh at the expectations first I think one needs to know the size of the market for edge ai Boxes.

Edge AI Processor Market Size & Growth Forecast, 2022-2028

The Global Edge AI Processor Market size is expected to reach $5.5 billion by 2028, rising at a market growth of 15.3% CAGR during the forecast period. Ed

www.kbvresearch.com

Then take say the old 1 % of the revenue.

It was stated that it will not be huge but quite valuable for branding IMO.

If they made 1 million in one year thats more then they would not making it. If they make 500k well still a move forth.

The key is they have a product its competitive in price and performance.

VVDN will take care of the logistics for the most part I would assume they do sell these thing Nvidia and qualcomm boxes.

 

[Xray1]

Cool thanks.

So wonder what model they will work under then as @Xray1 pointed out originally.

Reseller, distributor, margin, split etc.

My other point concerning this matter is when the Co say's that they intend to begin pre-sales on 15/01/2024:

"The Akida™ Edge Box—expected to "begin pre-sales" on January 15th, 2024".

I'm not too keen on the usage of the word "Pre-Sales" ..... So I wonder when will paying customers actually physically obtain possession of the Edge Box that they have purchased. I just hope that it's not a situation of BRN & VVDN doing a production run somewhere way down the track based on the amount of sales achieved rather than having them actually ready to go flying off the shelf once an order is received.

 

[Tothemoon24]

Generative AI in 2024: The 6 most important consumer tech trends for next year​

Qualcomm executives reveal key trends in AI, consumer technology and more for the future​

by Nimish

December 15, 2023
Reading Time: 7 mins read


Generative AI in 2024 - Qualcomm



Not that long ago, the banana-peel-and-beer-fueled DeLorean in “Back to the Future” was presented as comedy. Yet today, 10% of cars are electric-powered.1 Just a year ago, conversing with a computer in true natural language was science fiction, but we know now that the next generation will not know life without a personal AI assistant.

Generative AI was the undisputed game-changer across nearly every industry, and we will undoubtedly continue to feel its impact next year.
One of the reasons I love working at Qualcomm is that I am surrounded by inventors and business leaders who are developing and deploying the leading edge AI, high performance, low-power computing and connectivity technologies poised to deliver intelligent computing everywhere.
Exactly how generative AI and other technology trends will continue to play out next year, of course, no one can completely know. But as we close out 2023, I was interested in understanding what our executives here at Qualcomm thought would be the key trends of 2024. Here is what I heard.

1. AI PCs will drive a laptop replacement “super cycle”​

The PC market is set to experience a transformative shift in 2024, fueled by a “super cycle” of laptop replacements with the convergence of AI advancements for PCs.

Morgan Stanley predicts a drastic shift, with 40% of laptops due for replacement in 2024, expected to rise to 65% by 2025.2
“We anticipate a market-defining “super cycle” in the PC starting in 2024, where the need for new laptops and the advancement of AI will drive a new era of PCs,” says Qualcomm Technologies’ Senior Vice President and GM of Compute and Gaming, Kedar Kondap, adding,
“This innovation is not just an evolution in the PC market, but a revolution, driving the demand for AI PCs forward and reshaping the computing experience for businesses and consumers into the new year.”
You only have to look at what Microsoft is doing to know that these Intelligent PC and AI assistants, like Copilot, are coming.
Unapologetic plug/reminder: In October, at Snapdragon Summit the likes of Microsoft, HP, Lenovo and Dell stood with us as we announced how we’re enabling the AI PC with Snapdragon X Elite, built to take on AI tasks.

2. Generative AI will move from the cloud to personal devices​

The generative AI conversation in 2023 was predominantly about the cloud, but privacy, latency and cost will increasingly be choke points that on-device AI capabilities can help solve.
“As generative AI becomes more integrated in our lives, our personal devices like our smartphones, PCs, vehicles, and even IoT devices will become the hubs for multi-modal generative AI models,”
noted Qualcomm Technologies’ Senior Vice President & General Manager of Technology Planning & Edge Solutions, Durga Malladi.
Not only does it make sense to do many AI tasks on-device, but it also broadens the access of these awesome capabilities, for both the consumer and enterprises.
“This transition will usher in next-level privacy-focused, personalized AI experiences to consumers and enterprises, and cut down cloud costs for developers,” added Malladi. “With large generative AI multi-modal models running on devices, the shift from cloud-based to hybrid or on-device AI is inevitable.”

3. Your smartphone will become even more indispensable​

As generative AI capabilities are brought onto the smartphone, personal AI assistants will evolve into indispensable companions, continuously learning from our daily lives to provide tailored experiences.
“Smartphones, our most personal devices, are poised to leverage multi-modal generative AI models and combine on-device sensor data,” said Qualcomm Technologies’ Senior Vice President & General Manager of Mobile Handset, Chris Patrick. He added,
“Your on-device AI assistant will evolve from generic responses to personalized, informative outcomes.”
Applications leveraging large language models (LLMs) and visual models will use sensor data such as health, location and hyperlocal information to deliver personalized, meaningful content.
Patrick added, “By using different modalities, these AI assistants will enable natural engagement and be able to process and generate text, voice, images and even videos, solely on-device. This will bring next-level user experience to the mainstream while addressing the escalating costs of cloud-based AI.”
Another unapologetic plug/reminder: Also at Snapdragon Summit, we demonstrated on-device personalization on our new Snapdragon 8 Gen 3 to enable this market need.

4. Creatives will get more creative​

Deeper integration of AI in the creative and marketing process is inevitable.
“Generative AI is changing how we learn, how we play and how we work,” said Qualcomm Incorporated’s Chief Marketing Officer, Don McGuire, adding, “Not only is Qualcomm one of the largest companies enabling this technology, but as the CMO, I’m deploying the tools throughout the marketing organization.
“As a result, we’re seeing an increase in productivity level, time-to-market and efficiency, so the team can spend more time on strategy and creative collaboration, and less on time-consuming, repetitive tasks.
“It’s not about replacing people; but augmenting and enhancing their capabilities.”
With access to vast amounts of data, generative AI can make suggestions and provide valuable insights. It enables marketers to target specific audiences more effectively and gives us the ability to produce highly personalized content across various mediums.

5. Consumers will push for open multi-device ecosystems​

The adoption of open ecosystems will empower consumers with the freedom to select the best devices from a variety of brands that fit their specific needs.
This increased interoperability will drive innovation and enhance consumer experiences as brands compete on a level playing field, striving to outperform one another and deliver superior products.
“Consumers will be the driving force behind device makers opening their ecosystems, demanding enhanced communication and functionality across devices,”
says Qualcomm Technologies’ Senior Vice President & General Manager, Mobile, Compute & XR, Alex Katouzian.
“With the recent announcement of Apple’s rich communication services messaging integration, and technologies like Link to Windows and Snapdragon Seamless experience becoming more widespread, there’s a growing push for interoperability across brands and platforms,” he adds. “This shift towards open ecosystems will empower consumers with greater choice, enabling them to select the best device for their specific needs.”

6. Mixed Reality will redefine your world​

In 2024, mixed reality, virtual reality and extended reality (XR) will make their way into the mainstream as technologies once reserved for enthusiasts become integrated into consumer products.
Qualcomm Technologies’ Vice President and GM of XR Hugo Swart says,
“XR is entering a stage of rapid progress, thanks to the widespread adoption of mixed reality capabilities, smaller devices and the advancement of spatial computing.”
Affordable hardware options, such as Meta’s Quest 3 and Ray Ban Meta, are just the beginning of what’s to come.
Generative AI will play a crucial role in improving and scaling XR experiences, democratizing three-dimensional (3D) content generation through new tools and creating more realistic and engaging virtual environments.
Voice interfaces powered by generative AI will provide a natural and intuitive way to interact with XR devices, while personal assistants and lifelike 3D avatars, also powered by generative AI, will become increasingly prevalent in the XR space.

 

[Stable Genius]

I laugh at the expectations first I think one needs to know the size of the market for edge ai Boxes.

Edge AI Processor Market Size & Growth Forecast, 2022-2028

The Global Edge AI Processor Market size is expected to reach $5.5 billion by 2028, rising at a market growth of 15.3% CAGR during the forecast period. Ed

www.kbvresearch.com

Then take say the old 1 % of the revenue.

It was stated that it will not be huge but quite valuable for branding IMO.

If they made 1 million in one year thats more then they would not making it. If they make 500k well still a move forth.

The key is they have a product its competitive in price and performance.

VVDN will take care of the logistics for the most part I would assume they do sell these thing Nvidia and qualcomm boxes.

Edge AI Box

On-Prem AI Powerhouse: Deploy edge AI applications cost-effectively with our powerful Edge AI Box. Get yours today while supplies last.

www.qualcomm.com

I was just looking at Qualcomm‘s Edge Box and they have a range of five which makes it interesting from a competitive point of view for Brainchip. Obviously we are targeting the ”Edge” edge but I am guessing we will still be connected to the internet to be able to communicate to the outside world. Eg an alarm is activated and a message goes to dedicated response line/person? So I also believe we will be connected to power to the low power advantage Akida has will be neutralised. I could be wrong of course as I have no technical knowledge on these products.

On the same Qualcomm page I saw GMAC and CVEDIA as partners who we are with also.

Will CVEDIA’s be partnered in this regarding CCTV footage?

It’ll be interesting to see the competitive specs to show the market what Akida is capable of.

I know from a personal perspective I often buy the known larger brand product (e.g. Samsung vs Hisense) as I’m also buying; reputation, confidence in the known brand and after sales assistance; so it will be interesting to see how Brainchip can get a toe in the market against QUALCOMM and NVIDIA etc.

I think price will play a big part in getting the sales but I think we will have to sell for less profit to become known and trusted and build a reputation and brand. That might not be a big issue as we know AKIDA is a lot cheaper than NVIDIA so even at a cheaper sales price the profit margins might not be too bad.

Looking forward to seeing what CES2024 brings.

 

[Diogenese]

Generative AI in 2024: The 6 most important consumer tech trends for next year​

Qualcomm executives reveal key trends in AI, consumer technology and more for the future​

by Nimish

December 15, 2023
Reading Time: 7 mins read


Generative AI in 2024 - Qualcomm



Not that long ago, the banana-peel-and-beer-fueled DeLorean in “Back to the Future” was presented as comedy. Yet today, 10% of cars are electric-powered.1 Just a year ago, conversing with a computer in true natural language was science fiction, but we know now that the next generation will not know life without a personal AI assistant.

Generative AI was the undisputed game-changer across nearly every industry, and we will undoubtedly continue to feel its impact next year.
One of the reasons I love working at Qualcomm is that I am surrounded by inventors and business leaders who are developing and deploying the leading edge AI, high performance, low-power computing and connectivity technologies poised to deliver intelligent computing everywhere.
Exactly how generative AI and other technology trends will continue to play out next year, of course, no one can completely know. But as we close out 2023, I was interested in understanding what our executives here at Qualcomm thought would be the key trends of 2024. Here is what I heard.

1. AI PCs will drive a laptop replacement “super cycle”​

The PC market is set to experience a transformative shift in 2024, fueled by a “super cycle” of laptop replacements with the convergence of AI advancements for PCs.

Morgan Stanley predicts a drastic shift, with 40% of laptops due for replacement in 2024, expected to rise to 65% by 2025.2
“We anticipate a market-defining “super cycle” in the PC starting in 2024, where the need for new laptops and the advancement of AI will drive a new era of PCs,” says Qualcomm Technologies’ Senior Vice President and GM of Compute and Gaming, Kedar Kondap, adding,
“This innovation is not just an evolution in the PC market, but a revolution, driving the demand for AI PCs forward and reshaping the computing experience for businesses and consumers into the new year.”
You only have to look at what Microsoft is doing to know that these Intelligent PC and AI assistants, like Copilot, are coming.
Unapologetic plug/reminder: In October, at Snapdragon Summit the likes of Microsoft, HP, Lenovo and Dell stood with us as we announced how we’re enabling the AI PC with Snapdragon X Elite, built to take on AI tasks.

2. Generative AI will move from the cloud to personal devices​

The generative AI conversation in 2023 was predominantly about the cloud, but privacy, latency and cost will increasingly be choke points that on-device AI capabilities can help solve.
“As generative AI becomes more integrated in our lives, our personal devices like our smartphones, PCs, vehicles, and even IoT devices will become the hubs for multi-modal generative AI models,”
noted Qualcomm Technologies’ Senior Vice President & General Manager of Technology Planning & Edge Solutions, Durga Malladi.
Not only does it make sense to do many AI tasks on-device, but it also broadens the access of these awesome capabilities, for both the consumer and enterprises.
“This transition will usher in next-level privacy-focused, personalized AI experiences to consumers and enterprises, and cut down cloud costs for developers,” added Malladi. “With large generative AI multi-modal models running on devices, the shift from cloud-based to hybrid or on-device AI is inevitable.”

3. Your smartphone will become even more indispensable​

As generative AI capabilities are brought onto the smartphone, personal AI assistants will evolve into indispensable companions, continuously learning from our daily lives to provide tailored experiences.
“Smartphones, our most personal devices, are poised to leverage multi-modal generative AI models and combine on-device sensor data,” said Qualcomm Technologies’ Senior Vice President & General Manager of Mobile Handset, Chris Patrick. He added,
“Your on-device AI assistant will evolve from generic responses to personalized, informative outcomes.”
Applications leveraging large language models (LLMs) and visual models will use sensor data such as health, location and hyperlocal information to deliver personalized, meaningful content.
Patrick added, “By using different modalities, these AI assistants will enable natural engagement and be able to process and generate text, voice, images and even videos, solely on-device. This will bring next-level user experience to the mainstream while addressing the escalating costs of cloud-based AI.”
Another unapologetic plug/reminder: Also at Snapdragon Summit, we demonstrated on-device personalization on our new Snapdragon 8 Gen 3 to enable this market need.

4. Creatives will get more creative​

Deeper integration of AI in the creative and marketing process is inevitable.
“Generative AI is changing how we learn, how we play and how we work,” said Qualcomm Incorporated’s Chief Marketing Officer, Don McGuire, adding, “Not only is Qualcomm one of the largest companies enabling this technology, but as the CMO, I’m deploying the tools throughout the marketing organization.
“As a result, we’re seeing an increase in productivity level, time-to-market and efficiency, so the team can spend more time on strategy and creative collaboration, and less on time-consuming, repetitive tasks.
“It’s not about replacing people; but augmenting and enhancing their capabilities.”
With access to vast amounts of data, generative AI can make suggestions and provide valuable insights. It enables marketers to target specific audiences more effectively and gives us the ability to produce highly personalized content across various mediums.

5. Consumers will push for open multi-device ecosystems​

The adoption of open ecosystems will empower consumers with the freedom to select the best devices from a variety of brands that fit their specific needs.
This increased interoperability will drive innovation and enhance consumer experiences as brands compete on a level playing field, striving to outperform one another and deliver superior products.
“Consumers will be the driving force behind device makers opening their ecosystems, demanding enhanced communication and functionality across devices,”
says Qualcomm Technologies’ Senior Vice President & General Manager, Mobile, Compute & XR, Alex Katouzian.
“With the recent announcement of Apple’s rich communication services messaging integration, and technologies like Link to Windows and Snapdragon Seamless experience becoming more widespread, there’s a growing push for interoperability across brands and platforms,” he adds. “This shift towards open ecosystems will empower consumers with greater choice, enabling them to select the best device for their specific needs.”

6. Mixed Reality will redefine your world​

In 2024, mixed reality, virtual reality and extended reality (XR) will make their way into the mainstream as technologies once reserved for enthusiasts become integrated into consumer products.
Qualcomm Technologies’ Vice President and GM of XR Hugo Swart says,
“XR is entering a stage of rapid progress, thanks to the widespread adoption of mixed reality capabilities, smaller devices and the advancement of spatial computing.”
Affordable hardware options, such as Meta’s Quest 3 and Ray Ban Meta, are just the beginning of what’s to come.
Generative AI will play a crucial role in improving and scaling XR experiences, democratizing three-dimensional (3D) content generation through new tools and creating more realistic and engaging virtual environments.
Voice interfaces powered by generative AI will provide a natural and intuitive way to interact with XR devices, while personal assistants and lifelike 3D avatars, also powered by generative AI, will become increasingly prevalent in the XR space.

Just had a review of my Qualcomm hexagon files, and it seems that Hexgon is a hybrid DSP/NPU which functions in conjunction with GPU/CPU - nasty.

Snapdragon8_2Hexagon

Snapdragon 8 Gen 2 deep dive: Everything you need to know (androidauthority.com)

Snapdragon 8 Gen 2 deep dive: Everything you need to know

All you'll ever need to know about Qualcomm's latest Snapdragon 8 Gen 2 mobile platform for next-gen phones can be found here.

www.androidauthority.com

Qualcomm doubled the physical link between the image signal processor (ISP), Hexagon DSP, and Adreno GPU, driving higher bandwidth and lowering latency. This allows the Snapdragon 8 Gen 2 to run much more powerful machine-learning tasks on imaging data right off the camera sensor. RAW data, for instance, can be passed directly to the DSP/AI Engine for imaging workloads, or Qualcomm can use the link to upscale low-res gaming scenarios to assist with GPU load balancing.

This is going to be as busy as the Roselle Interchange.

Interview: Qualcomm on AI and the Snapdragon 855's Hexagon 690 DSP (xda-developers.com)

Qualcomm's Gary Brotman and Ziad Asghar on AI and the Snapdragon 855's Hexagon 690 DSP

Qualcomm's Gary Brotman and Ziad Asghar sat down with XDA for an interview on the state of AI and what's new in the Hexagon 690 DSP in the Snapdragon 855.

www.xda-developers.com

Mario Serrafero: "This is probably a topic that’s more fun to discuss, and it’s the fact that Qualcomm is sticking with the Hexagon DSP moniker and HVX while other companies are opting for “neural” so and so. How does Qualcomm see this discrepancy and these different strategies and approaches with mainly the marketing, but we can go into a bit later about the heterogeneous compute versus specific block bits as well."

Gary Brotman: "Ultimately, it comes down to what the OEM wants to do. If that matters to their customers, then it's incumbent upon them to figure out how they can leverage that processing capability and differentiate upon it in terms of capabilities. Our engine, and I think a great deal of the processing capability that we have, would still be very vector and tensor-centric in terms of the overall mix. The dedicated processing itself, the way it does matrix multiplication, it’s the same sort of dedicated processor that an NPU would be [using]. The marketing question is an interesting one, and I forget, what was Keith’s answer?"

Ziad Asghar: "His answer was, 'you can call it whatever you want to, to be able to sell more product.'"

Gary Brotman: "That was pretty much it; that was right, it was a very blunt answer."

Ziad Asghar: "I think Gary covered it really well. Some of the people using that moniker as a term in a way that almost states or implies that it’s only limiting it to that block. But what we see is that this whole heterogeneous approach of being able to use the CPU, or a GPU, or a Hexagon tensor vector, gives you different trade-offs in a whole spectrum of precision on power and performance, and that’s what you need today. Because we don’t know what application requires what degree of precision, what requires sustained performance, or what doesn’t require it. So we believe it’s that a full, overall solution because that’s how you get the best experience"

Gary Brotman: "And that’s never changed in any of our conversations, even with a dedicated accelerator. It’s an addition, it’s not a replacement."

Maybe they should call it WestConnex.

 

[Diogenese]

Edge AI Box

On-Prem AI Powerhouse: Deploy edge AI applications cost-effectively with our powerful Edge AI Box. Get yours today while supplies last.

www.qualcomm.com

I was just looking at Qualcomm‘s Edge Box and they have a range of five which makes it interesting from a competitive point of view for Brainchip. Obviously we are targeting the ”Edge” edge but I am guessing we will still be connected to the internet to be able to communicate to the outside world. Eg an alarm is activated and a message goes to dedicated response line/person? So I also believe we will be connected to power to the low power advantage Akida has will be neutralised. I could be wrong of course as I have no technical knowledge on these products.

On the same Qualcomm page I saw GMAC and CVEDIA as partners who we are with also.

Will CVEDIA’s be partnered in this regarding CCTV footage?

It’ll be interesting to see the competitive specs to show the market what Akida is capable of.

I know from a personal perspective I often buy the known larger brand product (e.g. Samsung vs Hisense) as I’m also buying; reputation, confidence in the known brand and after sales assistance; so it will be interesting to see how Brainchip can get a toe in the market against QUALCOMM and NVIDIA etc.

I think price will play a big part in getting the sales but I think we will have to sell for less profit to become known and trusted and build a reputation and brand. That might not be a big issue as we know AKIDA is a lot cheaper than NVIDIA so even at a cheaper sales price the profit margins might not be too bad.

Looking forward to seeing what CES2024 brings.

Hi SG,

Good point.

The VVDN EB will include Akida 1 SoC with a WiFi modem and Ethernet interface. I don't know whether the inbuilt ARM Cortex processor will have sufficient processing power or whether it will need an additional processor. Akida 1 has a number of built-in communication interfaces, so the EB could communicate with a local computer or it could communicate over the internet.
Hexagon and presumably its predecessors employ a mishmash of DSP/GPU/CPU for its "AI" capabilities such as ML. This will involve running software. I don't know how much of the classificaftion/inference will run on software, but it will use significantly more power than the VVDN Akida EB.
As you say, that may not be a deal-breaker in powered locations. But running GPU necessitates mechanical fan cooling, adding to both component cost and assembly time, as well as increasing the overall box size.
The VVDN Akida EB will be "greener" that Qualcomm's, using less power and less material.

 

[Fullmoonfever]

Author just on hackster hedging bets either Gen 1 or even possibly Gen 2

BrainChip Partners with VVDN, Teases an Industrial "Akida Edge Box" for On-Device ML and AI

Compact edge AI compute device will be demonstrated live during the Consumer Electronics Show (CES) 2024, BrainChip promises.

www.hackster.io

BrainChip Partners with VVDN, Teases an Industrial "Akida Edge Box" for On-Device ML and AI​

Compact edge AI compute device will be demonstrated live during the Consumer Electronics Show (CES) 2024, BrainChip promises.​

https://www.hackster.io/ghalfacree
ghalfacree
1 minute ago • Machine Learning & AI

BrainChip, which offers neuromorphic processing technology for high-efficiency machine learning and artificial intelligence (ML and AI) at the edge, has announced that it will be opening pre-sales for its Akida Edge Box — the "industry's first edge box powered by neuromorphic AI IP" — in January next year, following a demonstration at the Consumer Electronics Show (CES) 2024.

“BrainChip's neuromorphic technology gives the Akida Edge box the 'edge' in demanding markets such as industrial, manufacturing, warehouse, high-volume retail, and medical care," claims BrianChip's chief executive officer Sean Hehir of the company's impending launch. "We are excited to partner with an industry leader like VVDN technologies to bring groundbreaking technology to the market."

BrainChip has teased an upcoming "Akida Edge Box" device for its neuromorphic processing technology, due to be unveiled at CES in January 2024. (: BrainChip)

"There is a strong demand for cost-effective, flexible edge AI computation across many industries," adds VVDN Technologies co-founder and chief executive officer Puneet Agarwal, whose company partnered with BrainChip to bring the Akida Edge Box to life. "VVDN is excited to offer OEMs [Original Equipment Manufacturers] its experience and expertise in bringing the advanced, transformative technology integrations that meet market needs and eventually help them with faster time to market.”

BrainChip showed off the original brain-inspired Akida neuromorphic processing concept at the Linley Fall Processor Conference back in 2019, refining the ecosystem over the next two years before the public launch of development kits built around compact Intel and Raspberry Pi computing systems.

In January last year the company announced full commercialization followed by a partnership with Edge Impulse to make Akida more accessible, and in October this year placed Akida 2.0 in "early access" as what Hehir claimed was a "significant step in BrainChip’s vision to bring unprecedented AI processing power to edge devices, untethered from the cloud."

The company has not yet shown off the Akida Edge Box, but had already launched development kits built around compact PCs and SBCs. (: BrainChip)

Technical details of the Akida Edge Box have not yet been disclosed, but the device is likely to take the form of a small form factor or single-board computer coupled with one or more of the company's Akida or Akida 2.0 neuromorphic processing units. This, the company says, will offer support for "cost-effective and low-latency" on-device artificial intelligence workloads like visual detection, patient monitoring, security and surveillance, and manufacturing.

BrainChip and VVDN Technologies plan to formally unveil the Akida Edge Box at the Consumer Electronics Show 2024 in Las Vegas between January 9-12 2024 with a live demo, after which it will go up for pre-order ahead of an unspecified launch date. More information on the company's technology is available on the BrainChip website.

 

[DingoBorat]

Author just on hackster hedging bets either Gen 1 or even possibly Gen 2

BrainChip Partners with VVDN, Teases an Industrial "Akida Edge Box" for On-Device ML and AI

Compact edge AI compute device will be demonstrated live during the Consumer Electronics Show (CES) 2024, BrainChip promises.

www.hackster.io

BrainChip Partners with VVDN, Teases an Industrial "Akida Edge Box" for On-Device ML and AI​

Compact edge AI compute device will be demonstrated live during the Consumer Electronics Show (CES) 2024, BrainChip promises.​

https://www.hackster.io/ghalfacree
ghalfacree
1 minute ago • Machine Learning & AI

BrainChip, which offers neuromorphic processing technology for high-efficiency machine learning and artificial intelligence (ML and AI) at the edge, has announced that it will be opening pre-sales for its Akida Edge Box — the "industry's first edge box powered by neuromorphic AI IP" — in January next year, following a demonstration at the Consumer Electronics Show (CES) 2024.

“BrainChip's neuromorphic technology gives the Akida Edge box the 'edge' in demanding markets such as industrial, manufacturing, warehouse, high-volume retail, and medical care," claims BrianChip's chief executive officer Sean Hehir of the company's impending launch. "We are excited to partner with an industry leader like VVDN technologies to bring groundbreaking technology to the market."

BrainChip has teased an upcoming "Akida Edge Box" device for its neuromorphic processing technology, due to be unveiled at CES in January 2024. (: BrainChip)

"There is a strong demand for cost-effective, flexible edge AI computation across many industries," adds VVDN Technologies co-founder and chief executive officer Puneet Agarwal, whose company partnered with BrainChip to bring the Akida Edge Box to life. "VVDN is excited to offer OEMs [Original Equipment Manufacturers] its experience and expertise in bringing the advanced, transformative technology integrations that meet market needs and eventually help them with faster time to market.”

BrainChip showed off the original brain-inspired Akida neuromorphic processing concept at the Linley Fall Processor Conference back in 2019, refining the ecosystem over the next two years before the public launch of development kits built around compact Intel and Raspberry Pi computing systems.

In January last year the company announced full commercialization followed by a partnership with Edge Impulse to make Akida more accessible, and in October this year placed Akida 2.0 in "early access" as what Hehir claimed was a "significant step in BrainChip’s vision to bring unprecedented AI processing power to edge devices, untethered from the cloud."

The company has not yet shown off the Akida Edge Box, but had already launched development kits built around compact PCs and SBCs. (: BrainChip)

Technical details of the Akida Edge Box have not yet been disclosed, but the device is likely to take the form of a small form factor or single-board computer coupled with one or more of the company's Akida or Akida 2.0 neuromorphic processing units. This, the company says, will offer support for "cost-effective and low-latency" on-device artificial intelligence workloads like visual detection, patient monitoring, security and surveillance, and manufacturing.

BrainChip and VVDN Technologies plan to formally unveil the Akida Edge Box at the Consumer Electronics Show 2024 in Las Vegas between January 9-12 2024 with a live demo, after which it will go up for pre-order ahead of an unspecified launch date. More information on the company's technology is available on the BrainChip website.

It won't be Gen 2 at this stage.

 

[JB49]

Dont be expecting any decent revenue from the box. Sean said on his stock down under interview "were just gonna try this to get some work loads out there, so you'll see some revenue, but we're not expecting anything big"

 

[Taproot]

Author just on hackster hedging bets either Gen 1 or even possibly Gen 2

BrainChip Partners with VVDN, Teases an Industrial "Akida Edge Box" for On-Device ML and AI

Compact edge AI compute device will be demonstrated live during the Consumer Electronics Show (CES) 2024, BrainChip promises.

www.hackster.io

BrainChip Partners with VVDN, Teases an Industrial "Akida Edge Box" for On-Device ML and AI​

Compact edge AI compute device will be demonstrated live during the Consumer Electronics Show (CES) 2024, BrainChip promises.​

https://www.hackster.io/ghalfacree
ghalfacree
1 minute ago • Machine Learning & AI

BrainChip, which offers neuromorphic processing technology for high-efficiency machine learning and artificial intelligence (ML and AI) at the edge, has announced that it will be opening pre-sales for its Akida Edge Box — the "industry's first edge box powered by neuromorphic AI IP" — in January next year, following a demonstration at the Consumer Electronics Show (CES) 2024.

“BrainChip's neuromorphic technology gives the Akida Edge box the 'edge' in demanding markets such as industrial, manufacturing, warehouse, high-volume retail, and medical care," claims BrianChip's chief executive officer Sean Hehir of the company's impending launch. "We are excited to partner with an industry leader like VVDN technologies to bring groundbreaking technology to the market."

BrainChip has teased an upcoming "Akida Edge Box" device for its neuromorphic processing technology, due to be unveiled at CES in January 2024. (: BrainChip)

"There is a strong demand for cost-effective, flexible edge AI computation across many industries," adds VVDN Technologies co-founder and chief executive officer Puneet Agarwal, whose company partnered with BrainChip to bring the Akida Edge Box to life. "VVDN is excited to offer OEMs [Original Equipment Manufacturers] its experience and expertise in bringing the advanced, transformative technology integrations that meet market needs and eventually help them with faster time to market.”

BrainChip showed off the original brain-inspired Akida neuromorphic processing concept at the Linley Fall Processor Conference back in 2019, refining the ecosystem over the next two years before the public launch of development kits built around compact Intel and Raspberry Pi computing systems.

In January last year the company announced full commercialization followed by a partnership with Edge Impulse to make Akida more accessible, and in October this year placed Akida 2.0 in "early access" as what Hehir claimed was a "significant step in BrainChip’s vision to bring unprecedented AI processing power to edge devices, untethered from the cloud."

The company has not yet shown off the Akida Edge Box, but had already launched development kits built around compact PCs and SBCs. (: BrainChip)

Technical details of the Akida Edge Box have not yet been disclosed, but the device is likely to take the form of a small form factor or single-board computer coupled with one or more of the company's Akida or Akida 2.0 neuromorphic processing units. This, the company says, will offer support for "cost-effective and low-latency" on-device artificial intelligence workloads like visual detection, patient monitoring, security and surveillance, and manufacturing.

BrainChip and VVDN Technologies plan to formally unveil the Akida Edge Box at the Consumer Electronics Show 2024 in Las Vegas between January 9-12 2024 with a live demo, after which it will go up for pre-order ahead of an unspecified launch date. More information on the company's technology is available on the BrainChip website.

Like Dio said, the VVDN / BRN Edge Box will be equipped with Akida 1000.

Products – Akida Neural Processor SoC

Learn more about the Akida Neural Proccesor System-on-Chip!

brainchip.com

At this stage in BRN development, I really think the most important thing to be doing is to benchmark this box against the other better name brand edge boxes like Nvidia and Qualcomm. There need to be comparisons made between the different edge boxes in like for like situations.
So that clear benchmarking can be defined, which can be turned into marketing gold. Less Power, smaller more compact device, with less components ie ( fans )., making the device instantly " greener " and more environmentally friendly. Then technical and performance benchmarks in like for like comparisons. We need to show that BRN / Neuromorphic / Akida is a better option / choice, and we need to clearly define why this is so. Unless Brainchip can show on paper and in real life demonstrations why this product can outperform the competition in clearly defined and understandable benchmarks, then consumers will continue to purchase the name brands every time. Lets hope that VVDN and Brainchip have a great presentation lined up for Jan 12 +

 

[Fullmoonfever]

@DingoBorat @Taproot

Most likely correct hence my thinking emoji in my post.

However we know Gen 2 available to early adopters Q3, VVDN Ann was beginning of Sept and no doubt we would have been working with them prior you'd think in developing the EB.

Personally I'd like it to be the Gen 2 as what better way to showcase our latest tech with ViT, TENNS at the premier tech event in CES with essentially our first commercially available off the shelf consumer / business product.

Wishful thinking maybe though.

 

[JDelekto]

@DingoBorat @Taproot

Most likely correct hence my thinking emoji in my post.

However we know Gen 2 available to early adopters Q3, VVDN Ann was beginning of Sept and no doubt we would have been working with them prior you'd think in developing the EB.

Personally I'd like it to be the Gen 2 as what better way to showcase our latest tech with ViT, TENNS at the premier tech event in CES with essentially our first commercially available off the shelf consumer / business product.

Wishful thinking maybe though.

I think that as Akida 2.0 was announced in March and the IP was made available as early access in October, they would most likely be using Akida 2.0 in their design.

The announcement claims that the Akida Edge Box was designed for vision-based AI workloads, so BrainChip would want to show off its TENN feature and vision transformers.

Putting this new device on display at CES is a chance to market the latest Akida technology, so I would bet that 2.0 would be at play here, possibly even with the hardware using the IP possibly being manufactured at Intel's Global Foundries.

If the Edge boxes were using the Akida 1.0 IP and could stand against the competitors in performance and power requirements, imagine how much more compelling it would make the Akida 2.0 IP for those still on the fence.

 

[Mt09]

@DingoBorat @Taproot

Most likely correct hence my thinking emoji in my post.

However we know Gen 2 available to early adopters Q3, VVDN Ann was beginning of Sept and no doubt we would have been working with them prior you'd think in developing the EB.

Personally I'd like it to be the Gen 2 as what better way to showcase our latest tech with ViT, TENNS at the premier tech event in CES with essentially our first commercially available off the shelf consumer / business product.

Wishful thinking maybe though.

Can’t remember at what time point but Sean specifically says the edge box contains akd1000, the chip we had made and have stock of. At this point there’s no akd2000 reference chip ie “hardware” no doubt that will come in the future.

 

[TECH]

Good morning back in Aussie,

I think an important point to remember with regards VVDN is this: they already make Edge Box's for both of our potential competitors,
namely Nvidia and Qualcomm, adding us to the mix sends a very strong message before a single confirmed sale has even been registered.

Can the others really compete, we shall all find out as CES unfolds, benchmarking is about to be ramped up a number of notches in my
opinion, the more product/s to hit the market will confirm our dominance at the edge, both Nvidia and Qualcomm representatives will be
keenly observing this launch at CES, the new kid on the block has finally arrived.... Akida.

Tech.

 

[DingoBorat]

@DingoBorat @Taproot

Most likely correct hence my thinking emoji in my post.

However we know Gen 2 available to early adopters Q3, VVDN Ann was beginning of Sept and no doubt we would have been working with them prior you'd think in developing the EB.

Personally I'd like it to be the Gen 2 as what better way to showcase our latest tech with ViT, TENNS at the premier tech event in CES with essentially our first commercially available off the shelf consumer / business product.

Wishful thinking maybe though.

AKIDA 2.0 is available, but there hasn't been an announcement of a physical AKD2000 reference chip being produced..

Not sure exactly when the AKD1000 chips were originally made, but there was the engineering samples and then the reference chips, which were greatly improved.

Must be getting close to two years though and they are going into Edge Boxes now and will be State of the Art!

To do that today, in these times of rapid technological development, just goes to show, how far AKIDA is ahead of the curve.

They could also use AKD1500 chips, if they needed to?..

We really have no idea, how many AKD1000 chips were produced, or what percentage of the run were "good".

There's always a non viable percentage and we don't know what the device yield is, when producing AKIDA chips, but I'm guessing, with the engineering samples coming out practically perfect first time (a huge credit to Anil Mankar, as was stated by Louis DiNardo, who had rarely seen that) that it is pretty high, by industry standards.

 

[Fullmoonfever]

Can’t remember at what time point but Sean specifically says the edge box contains akd1000, the chip we had made and have stock of. At this point there’s no akd2000 reference chip ie “hardware” no doubt that will come in the future.

Thanks for confirming that MT.

Makes sense seeing we got stock sitting around, just a shame then it wasn't our current flagship product at the flagship Tech event of the year.

No doubt Gen 2 will be on display anyway and big bonus if someone else is using it too.