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Bravo
If ARM was an arm, BRN would be its biceps💪!
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I highlighted this section because according to Nandan Nayampally at CVPR 2023 Workshop on Event-based Vision IniVation is a "Partner".
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Bravo
If ARM was an arm, BRN would be its biceps💪!
AI & Big Data Expo: Unlocking the potential of AI on edge devices
About the Author
By Ryan Daws | December 15, 2023Categories: Artificial Intelligence, Development, Enterprise, Healthcare, Industries, Machine Learning,
Ryan is a senior editor at TechForge Media with over a decade of experience covering the latest technology and interviewing leading industry figures. He can often be sighted at tech conferences with a strong coffee in one hand and a laptop in the other. If it's geeky, he’s probably into it. Find him on Twitter (@Gadget_Ry) or Mastodon (@gadgetry@techhub.social)
In an interview at AI & Big Data Expo, Alessandro Grande, Head of Product at Edge Impulse, discussed issues around developing machine learning models for resource-constrained edge devices and how to overcome them.
During the discussion, Grande provided insightful perspectives on the current challenges, how Edge Impulse is helping address these struggles, and the tremendous promise of on-device AI.
Key hurdles with edge AI adoption
Grande highlighted three primary pain points companies face when attempting to productise edge machine learning models, including difficulties determining optimal data collection strategies, scarce AI expertise, and cross-disciplinary communication barriers between hardware, firmware, and data science teams.“A lot of the companies building edge devices are not very familiar with machine learning,” says Grande. “Bringing those two worlds together is the third challenge, really, around having teams communicate with each other and being able to share knowledge and work towards the same goals.”
Strategies for lean and efficient models
When asked how to optimise for edge environments, Grande emphasised first minimising required sensor data.“We are seeing a lot of companies struggle with the dataset. What data is enough, what data should they collect, what data from which sensors should they collect the data from. And that’s a big struggle,” explains Grande.
Selecting efficient neural network architectures helps, as does compression techniques like quantisation to reduce precision without substantially impacting accuracy. Always balance sensor and hardware constraints against functionality, connectivity needs, and software requirements.
Edge Impulse aims to enable engineers to validate and verify models themselves pre-deployment using common ML evaluation metrics, ensuring reliability while accelerating time-to-value. The end-to-end development platform seamlessly integrates with all major cloud and ML platforms.
Transformative potential of on-device intelligence
Grande highlighted innovative products already leveraging edge intelligence to provide personalised health insights without reliance on the cloud, such as sleep tracking with Oura Ring.“It’s sold over a billion pieces, and it’s something that everybody can experience and everybody can get a sense of really the power of edge AI,” explains Grande.
Other exciting opportunities exist around preventative industrial maintenance via anomaly detection on production lines.
Ultimately, Grande sees massive potential for on-device AI to greatly enhance utility and usability in daily life. Rather than just raw data, edge devices can interpret sensor inputs to provide actionable suggestions and responsive experiences not previously possible—heralding more useful technology and improved quality of life.
Unlocking the potential of AI on edge devices hinges on overcoming current obstacles inhibiting adoption. Grande and other leading experts provided deep insights at this year’s AI & Big Data Expo on how to break down the barriers and unleash the full possibilities of edge AI.
“I’d love to see a world where the devices that we were dealing with were actually more useful to us,” concludes Grande.
Getupthere
Regular
I can’t say I have seen Sean sell his shares to pay his taxes as yet?
Last year he sold 2 to 3 days after receiving them.
Last year he sold 2 to 3 days after receiving them.
Kachoo
Regular
Why would he sell at this price. Likely he could have found other financial ways to pay.
I'm surprised how many people are shocked he has not sold.
He was given 2 million part of his package at 20 cents so say half is tax then he needs to come up with 200 k
He is not a stupid man he I will say that. So say the SP at the AGM is 60 cents will that be a win for him absolutely. And he is genuinely in the belief the SP is bellow real value. I don't want to argue about SP that's dictated by the market be it this or that.
But last year he got shares at 80 cents paid tax selling it would have cost him 800 k to keep all. If you go with the theory at that time the sp may have still been high then no kidding he sold his tax portion.
Today he gets them at 20 cents 4 times cheaper so if say the value of the company IP is somewhere between 20 and 80 lets say 50 cents what would you do finance the tax and keep the shares.
Sean is putting his money in the game I'm surprised many don't see this while your all looking at the flaws and looking to hang a person he quietly put skinning the game. Yes that's putting skin in the game.
My opinion and personal view is do as smart money not as what agenda driven unknown posters vent when mad or are trying to block validated clear news that is interested.
Forget the old past look to the future.
Sean did buy yes at a discount part of his payment but likely he put quite a bit of his money now in the form of tax to me that's confidence that SP is below what the guy that knows all that is happening at BRN.
Frank Zappa
Regular
I would be very careful before going down a second strike course of action . Looking at the graph of TAH share price after successfully striking out at their directors has not led to a $ 1.00 share price hot tub gathering.
What's the penalty for insider non-trading?
Kachoo
Regular
Getting to keep his shares lol!
Fullmoonfever
Top 20
Not entirely sure myself that it will be a profit split as such.
The original Ann was that we "engaged" VVDN, "a premier electronics engineering and manufacturing company, to deliver the industry’s first Edge box based on neuromorphic technology."
Implies to me still that we possibly paid for the service and manufacturing and will go to market.
In the latest Ann, VVDN said it "is excited to offer OEMs its experience and expertise in bringing the advanced, transformative technology integrations that meet market needs and eventually help them with faster time to market."
They are offering the OEM their experience and expertise.
Maybe, if VVDN are selling it through their channel to mkt they may get a %. Will be interesting to see how it comes out in the wash though so to speak.
VVDN already provide an Edge Box with Nvidia so they will have unique knowledge and experience of EBs in use. They will know what input ports are required as well as the types of models to identify different inputs.
Fullmoonfever
Top 20
No doubt, as they state that sort of experience in their offering and make sense to engage them.
Just not sure how BRN are going to structure up the path to mkt yet.
Themselves, with VVDN as well or other resellers that's all.
The first announcement said both would sell it.
David holland
Regular
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?
Fullmoonfever
Top 20
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
Slim
"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
Kachoo
Regular
I laugh at the expectations first I think one needs to know the size of the market for edge ai Boxes.
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 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.
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
Top 20
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
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.
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