Tothemoon24
Top 20
Twitter!
BRN Discussion Ongoing
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buena suerte :-)
BOB Bank of Brainchip
SharesForBrekky
Regular
Good work TTM.
Someone on HC pointed out Intel have about 4.9M followers. You'd think there would be some % of those followers will notice this comment, and possibly get a little curious about Brainchip.
wilzy123
Founding Member
Oh boy… it’s hard to read between the lines at the moment! My experience is that some people just speculate for a good annual report and will sell if they are again disappointed. On the other hand we have increasing good response from the tech community and partners… and now intel looking forward to “connecting” with us next week which could mean everything and nothing 
anyway… hoooooooold
anyway… hoooooooold
Boab
I wish I could paint like Vincent
Evermont
Stealth Mode
Not a bad article from Derry Murphy (Senior Director Consumer Computing at ARM).
By Derry Murphy
published February 08, 2024
Trends that will shape the future of the smart home
Artificial intelligence (AI) is impacting every corner of computing and every type of technology on the planet. Smart home technology is no different. AI has been used throughout the smart home for smaller tasks over the past several years. However, the rise of more efficient large language models (LLMs) and AI at the edge – processing AI workloads on the device rather than the cloud – will enable exciting future use cases and experiences.
This will be enabled by various consumer and IoT devices being connected and talking with one another, as well an increase in centralized processing. For example, wearable devices, like smart watches or fitness trackers, could collect biometric data from the user and then make meal recommendations based on their current levels of health, previous fitness activities, dietary requirements, and even the food that is available in the smart fridge.
The rise of AI workloads at the edge will bring a whole new level of experiences and personalization for content and applications that manage the smart home environment. In fact, the TV, which sits at the center of the smart home experience, will become AI-powered.
Additionally, as cameras start re-appearing in TVs, there is a significant increase in AI-based smart camera use cases, such as health and fitness, gaming and video calling. Home fitness is an interesting use case that is becoming more prevalent on TVs, with applications using AI for body tracking and then making subsequent relevant recommendations for a specific workout or for motion interactive gaming.
Looking ahead, AI in the TV could enable a range of future uses cases. Some examples include: acting as a smart mirror for people to virtually try on clothes; actively managing energy usage across the smart home through being the central processing hub for heating, lighting and home appliances; and helping children with their homework through on-device LLM-based smart assistants.
The momentum towards AI at the edge is being supported by devices and AI models becoming more power efficient, as the industry drives AI to be deployed at scale across a variety of technology touchpoints in the IoT and consumer technology markets.
For security, AI at the edge has positive implications. From the consumer perspective, it means potentially sensitive personal data can be handled and processed on the actual device. Meanwhile, for the smart home ecosystem, powerful AI and ML algorithms and models, like those used by streaming services and for picture quality enhancements, are better protected against attackers.
There is already an ecosystem of services and applications that add huge value to the smart home experience, with significant opportunities for further developer innovation fueled by the age of AI. However, developers require a stable, flexible, and consistent compute platform that works across a wide variety of AI frameworks and libraries that are available to them.
CPU and GPUs are popular AI targets as they can run a variety of network types in many different data formats, while also being pervasive processor technologies. This provides differentiation and scalability opportunities for developers across the many devices in the smart home.
However, while Matter is the standard protocol for controlling and connecting devices, there is no such protocol for managing data. This has implications for AI where vast volumes of personal data will be collected by smart home devices. It will be interesting to see how protocols like Matter could be extended to standardize how data is shared.
This will require an unprecedented leap in performance, power efficiency and security, particularly as more AI workloads move to the edge. The growing smart home ecosystem will need a compute platform that matches these requirements, while also being ubiquitous across IoT and consumer technology devices.
The growing role of AI promises exciting innovation opportunities as it accelerates the capabilities of smart home devices.
We've featured the best smartphone.
This article was produced as part of TechRadarPro's Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro
www.techradar.com
How AI is shaping the smart home
NewsBy Derry Murphy
published February 08, 2024
Trends that will shape the future of the smart home
Artificial intelligence (AI) is impacting every corner of computing and every type of technology on the planet. Smart home technology is no different. AI has been used throughout the smart home for smaller tasks over the past several years. However, the rise of more efficient large language models (LLMs) and AI at the edge – processing AI workloads on the device rather than the cloud – will enable exciting future use cases and experiences.
The smart home as a “smart assistant”
In the age of AI, the whole smart home can effectively become a smart assistant. Today’s AI-powered virtual assistants respond to your voice to perform an action when prompted. However, future virtual assistants will understand when a person walks into the home and then adapt the internal environment automatically based on their preferences. This could be anything from adjusting the temperature or light settings, playing music, managing access to the home, or generating automated grocery lists.This will be enabled by various consumer and IoT devices being connected and talking with one another, as well an increase in centralized processing. For example, wearable devices, like smart watches or fitness trackers, could collect biometric data from the user and then make meal recommendations based on their current levels of health, previous fitness activities, dietary requirements, and even the food that is available in the smart fridge.
The rise of AI workloads at the edge will bring a whole new level of experiences and personalization for content and applications that manage the smart home environment. In fact, the TV, which sits at the center of the smart home experience, will become AI-powered.
AI in the Smart TV
Today’s smart TVs use AI for picture quality enhancements, and voice command for control and content selection. Also streaming services – which play a pivotal role in today’s TV experience – use powerful machine learning (ML) algorithms to recommend relevant content to users.Additionally, as cameras start re-appearing in TVs, there is a significant increase in AI-based smart camera use cases, such as health and fitness, gaming and video calling. Home fitness is an interesting use case that is becoming more prevalent on TVs, with applications using AI for body tracking and then making subsequent relevant recommendations for a specific workout or for motion interactive gaming.
Looking ahead, AI in the TV could enable a range of future uses cases. Some examples include: acting as a smart mirror for people to virtually try on clothes; actively managing energy usage across the smart home through being the central processing hub for heating, lighting and home appliances; and helping children with their homework through on-device LLM-based smart assistants.
The engineering opportunity
These exciting use cases present an interesting engineering opportunity, with increasing computing demands across all smart home devices. Central processing hubs, like the TV, will need far more general compute, neural processing capabilities and security as more AI workloads take place at the edge.The momentum towards AI at the edge is being supported by devices and AI models becoming more power efficient, as the industry drives AI to be deployed at scale across a variety of technology touchpoints in the IoT and consumer technology markets.
For security, AI at the edge has positive implications. From the consumer perspective, it means potentially sensitive personal data can be handled and processed on the actual device. Meanwhile, for the smart home ecosystem, powerful AI and ML algorithms and models, like those used by streaming services and for picture quality enhancements, are better protected against attackers.
There is already an ecosystem of services and applications that add huge value to the smart home experience, with significant opportunities for further developer innovation fueled by the age of AI. However, developers require a stable, flexible, and consistent compute platform that works across a wide variety of AI frameworks and libraries that are available to them.
CPU and GPUs are popular AI targets as they can run a variety of network types in many different data formats, while also being pervasive processor technologies. This provides differentiation and scalability opportunities for developers across the many devices in the smart home.
Universal standards
Universal standards benefit developers, as they deliver connected and consistent smart home AI experiences across a wide variety of connected devices. Matter is a universal IoT standard already in place today that increases the compatibility of diverse IoT devices in the smart home. For consumers, this means seamless, secure and reliable home technology experiences, with all smart home devices operating together.However, while Matter is the standard protocol for controlling and connecting devices, there is no such protocol for managing data. This has implications for AI where vast volumes of personal data will be collected by smart home devices. It will be interesting to see how protocols like Matter could be extended to standardize how data is shared.
Smart home’s AI future
AI is already prevalent in the smart home and there are plenty of smart home devices, like the TV, that already have AI workloads at the heart of use cases used by consumers. However, the future will see AI accelerating across the smart home, both in terms of the quantity and quality of the experiences.This will require an unprecedented leap in performance, power efficiency and security, particularly as more AI workloads move to the edge. The growing smart home ecosystem will need a compute platform that matches these requirements, while also being ubiquitous across IoT and consumer technology devices.
The growing role of AI promises exciting innovation opportunities as it accelerates the capabilities of smart home devices.
We've featured the best smartphone.
This article was produced as part of TechRadarPro's Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro
How AI is shaping the smart home
Trends that will shape the future of the smart home
buena suerte :-)
BOB Bank of Brainchip
TheDrooben
Pretty Pretty Pretty Pretty Good
30 minutes early today 
Tothemoon24
Top 20
Mighty chip !!!
BrainChip's Quest for Ubiquitous AI: Unpacking the Akida Neuromorphic Processor and Visionary Leadership
BrainChip Holdings Ltd. is revolutionizing AI with the Akida Neuromorphic Processor and a suite of innovative products. CEO Sean Hehir's leadership and commitment to shareholder interests are paving the way for a future where AI is accessible and beneficial for all.
15 Feb 2024 19:53 ESTIn our relentless pursuit to understand the future of artificial intelligence and its tangible impacts on our world, we turn our gaze to a remarkable milestone achieved by BrainChip Holdings Ltd. On February 16, 2024, the company released the fourth episode of its Quarterly Investor Podcast, a platform where CEO Sean Hehir meticulously unfolds the narrative of the company's journey over the past year. This episode is not just a mere update; it's a testament to BrainChip's ambition to make AI ubiquitous through cutting-edge technology, visionary leadership, and robust sales and marketing strategies.
Charting the Path to Ubiquitous AI
At the heart of BrainChip's success story is the development of the Akida Neuromorphic Processor. This fully digital, event-based AI processor stands out as a pioneering leap in technology, employing neuromorphic principles to mirror the human brain's functionality. Akida's uniqueness lies in its capability to facilitate edge learning directly on the chip, which significantly reduces latency while enhancing privacy and data security. These advancements underscore BrainChip's commitment to pushing the boundaries of what's possible in AI, emphasizing efficiency, precision, and energy savings.A Glimpse into BrainChip's Arsenal
BrainChip's arsenal extends beyond the Akida Neuromorphic Processor. In the latest podcast episode, listeners are treated to insights into a range of products including MetaTF, 2nd Generation Akida, the Akida1000 reference chip, and Akida Enablement Platforms. Each of these innovations plays a pivotal role in BrainChip's mission to revolutionize Edge AI on-chip processing and learning. By mimicking the human brain's ability to analyze essential sensor inputs at the point of acquisition, BrainChip is not only redefining efficiency and precision in AI but also heralding a new era of energy-saving technology.
Leadership Vision and Shareholder Interests
CEO Sean Hehir's leadership has been instrumental in navigating BrainChip through the complexities of the AI landscape. The fourth episode of the Quarterly Investor Podcast provides a platform for Hehir to address investor queries, shedding light on the company's product updates and the strategic direction. This dialogue with shareholders reflects BrainChip's dedication to transparency and its commitment to fostering a deep understanding of its technological advancements and market positioning. It's clear that under Hehir's stewardship, BrainChip is not only achieving technological milestones but is also building a robust relationship with its investors, ensuring they are well-informed and aligned with the company's long-term vision.In wrapping up, the latest episode of BrainChip Holdings Ltd's Quarterly Investor Podcast serves as a beacon of the company's continued success and momentum. Through the development of the Akida Neuromorphic Processor and a suite of other innovative products, BrainChip is steadfast in its mission to make AI ubiquitous. CEO Sean Hehir's discussion of the company's achievements and future prospects not only highlights BrainChip's technological prowess but also its commitment to shareholder interests and market leadership. As we look towards the horizon, it's clear that BrainChip Holdings Ltd is at the forefront of shaping the future of artificial intelligence, promising a world where AI's potential is fully realized, accessible, and beneficial for all.
SharesForBrekky
Regular
That's because it's POETS day!30 minutes early today
buena suerte :-)
BOB Bank of Brainchip
33c Verrrryyy sooooon30 minutes early today
Pom down under
Top 20
Shorters
That was lol
That was lol
DingoBorat
Slim
I don't think they're worried, yet..
I'm guessing we would have to solidly and resoundingly hit 60 cents, before they will be "forced" to close positions.
I'm not sure of the percentages, but there is a point, where they will no longer be "allowed" to hold a losing trade, by the brokers lending them.
It's well above current levels though.
DingoBorat
Slim
Every short they dump now though, just ensures a greater loss, if things keep getting better, for BrainChip.
Now, is not the Time to be shorting this Company.
DingoBorat
Slim
Looks like you're expecting that wall at 32.5 cents to crumble, Esq
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