Frangipani
Regular
Well, what did you expect? After all, we are on a tinyML budget…
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
PC makers have been in a slump since the end of a pandemic-era boom in sales for working and learning from home. The industry has pinned its hopes of a revival on a new generation of laptops and desktops with more powerful chips that can handle artificial intelligence tasks such as summarizing documents without having to send data to the cloud.
Intel is preparing such chips, as are rivals including Qualcomm. Reuters has reported that Nvidia also plans to use its strength in AI chips to jump into the PC market with a new chip as early as 2025.
Apple is planning to highlight the AI processing capabilities of the new chips
finance.yahoo.com
Intel is preparing such chips, as are rivals including Qualcomm. Reuters has reported that Nvidia also plans to use its strength in AI chips to jump into the PC market with a new chip as early as 2025.
Apple is planning to highlight the AI processing capabilities of the new chips
Apple plans Mac line overhaul with AI-focused M4 chips, Bloomberg News reports
The company is aiming to release the updated computers late this year and early next year, and they would include new iMacs, a low-end 14-inch MacBook Pro, high-end 14-inch and 16-inch MacBook Pros, and Mac minis, the report said. The industry has pinned its hopes of a revival on a new...
Does everyone have their seat?
www.linkedin.com
[Video] Patrick Moorhead on LinkedIn: Enjoyed talking with Brian Sullivan on the AI PC Supercycle. Discussed…
Enjoyed talking with Brian Sullivan on the AI PC Supercycle. Discussed Apple, Microsoft, Dell Technologies, HP, Qualcomm, AMD, Intel Corporation.
PC makers have been in a slump since the end of a pandemic-era boom in sales for working and learning from home. The industry has pinned its hopes of a revival on a new generation of laptops and desktops with more powerful chips that can handle artificial intelligence tasks such as summarizing documents without having to send data to the cloud.
Intel is preparing such chips, as are rivals including Qualcomm. Reuters has reported that Nvidia also plans to use its strength in AI chips to jump into the PC market with a new chip as early as 2025.
Apple is planning to highlight the AI processing capabilities of the new chips
Apple plans Mac line overhaul with AI-focused M4 chips, Bloomberg News reports
The company is aiming to release the updated computers late this year and early next year, and they would include new iMacs, a low-end 14-inch MacBook Pro, high-end 14-inch and 16-inch MacBook Pros, and Mac minis, the report said. The industry has pinned its hopes of a revival on a new...
The BIG question is.......
Can any company currently focused on disrupting the market at the "edge or even the far edge" do on-chip learning and all the benefits
that come with this architecture that Peter first patented in 2008, then with Anil and all our brilliant, highly intelligent team have added and/or
refined the design phase, really compete ?
What I mean by that statement is this, not only do we have 'proof of concept' in silicon of 2 chips (AKD I and AKD I500) with AKD II possibly
in chip form already (not been disclosed to date) as a 100% commercial proposition available now, with superior engineering teams available
to assist clients in the very specialized field of Neuromorphic Engineering and Design, BUT we also hold (I believe) 19 Patents currently worldwide, with around 22 others pending....the others (you already know who they are) are all talk, lab coats and possibly misleading tech articles that don't reveal the true picture, in my view.
Our company will deliver, you'd be an absolute fool to think otherwise in my opinion.
Tech 2024.
Last edited:
Confusingly the Business Wire release state availability on April 16 and the Brainchip release states April 11.Less than four hours to liftoff, pardon, to the podcast going online… 🛰
Edit: Oh no, yet another typo…The LinkedIn post says the podcast will be available online on April 11 (hence today), whereas it says April 16 in the linked text on the BrainChip website…
View attachment 60710
Exploring SpaceTech Robotics with ANT61 in Latest ‘This is Our Mission’ Podcast
Laguna Hills, Calif. – April 11, 2024 – 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, invites you to a conversation with ANT61 Founder and CEO Mikhail Asavkin on the latest “This is Our Mission” podcast. Hosted by Dr. Tony Lewis, BrainChip’s chief technology officer, the podcast will be available April 16, 2024, at 3 p.m. PDT on BrainChip’s website and across popular podcast platforms.
Asavkin founded ANT61 in 2021 on a mission to extend the life of critical space assets that humanity depends on today and in the future. Over the years, he has assembled a team of young space engineers who delivered several satellite hardware products designed and manufactured in Sydney, Australia. Before founding ANT61, Asavkin worked on large satellite constellations and technological businesses in the UK and the US.
He joins the BrainChip podcast to discuss space technology and how far it has come in the past decade; space robotics infrastructure and difficulties maintaining it; and how neuromorphic AI addresses the challenges to enable growth in the SpaceTech industry.
“Mikhail’s childhood was extraordinary; instead of playing with toy trucks, he was surrounded by robots crafted by his grandfather for space exploration. Carrying forward this family heritage, Mikhail has seen the last decade transform with commercial rocket launches becoming routine. Concurrently, Earth has witnessed significant advancements in Artificial Intelligence. Mikhail envisions deploying autonomous AI-Based systems in space to establish the infrastructure essential for human exploration of our solar system. Given space’s hostile and unforgiving nature, these systems must be entirely self-sufficient and exceptionally efficient. Neuromorphic technology is anticipated to be the crucial enabler for operating advanced AI models in the extraterrestrial environment,” said Lewis.
The “This is Our Mission” podcast provides AI industry insight to listeners including users, developers, analysts, technical and financial press, and investors. Past episodes are available at https://brainchip.com/podcast/.
About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY)
BrainChip is the worldwide leader in Edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, Akida™ , uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Akida uniquely enables Edge learning local to the chip, independent of the cloud, dramatically reducing latency while improving privacy and data security. Akida Neural processor IP, which can be integrated into SoCs on any process technology, has shown substantial benefits on today’s workloads and networks, and offers a platform for developers to create, tune and run their models using standard AI workflows like Tensorflow/Keras. In enabling effective Edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT,
BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers’ products, as well as the planet. Explore the benefits of Essential AI at www.brainchip.com.
Follow BrainChip on Twitter: https://www.twitter.com/BrainChip_inc
Follow BrainChip on LinkedIn: https://www.linkedin.com/company/7792006
Questions, questions.....always opportunity for another gaffe.
Rene Haas’ Comments on The United States and Japan Announcing Two New University-Corporate AI Partnerships Worth $110 Million With Support from Arm
Comments from Arm CEO Rene Haas on The United States and Japan Announcing Two New University-Corporate AI Partnerships Worth $110 Million.
newsroom.arm.com
Key highlights from the announcement include:
Carnegie Mellon University will partner with Keio University to bring together faculty, researchers and students at the forefront of AI to collaborate on new ideas and solutions.
The University of Washington and the University of Tsukuba will partner to focus on AI-related research and workforce development.
Corporate supporters include Arm and SoftBank, NVIDIA, Amazon, Microsoft, and a consortium of nine Japanese companies.
“The unprecedented progress we’ve seen in AI will transform virtually every industry and improve countless lives, but to maximize this opportunity, close cooperation will be required between the private sector, academia, and government,” said Rene Haas, CEO of Arm. “Arm is extremely proud to have the opportunity to support this historic partnership as part of our overall commitment to advancing AI innovation everywhere and for everyone.”
Frangipani
Regular
Hi charles2,
when I first saw (and posted) that LinkedIn post 4 hours ago, it still said “April 11”, but I just checked again and noticed it has since been edited to “April 16”, just like it was stated all along in the press release I had copied from the BrainChip website. So I guess April 16 it is. Sigh…
(Note the first image shows that even the earlier post had already been edited - maybe the person in charge had initially gotten the podcast guest wrong as well?!
)I actually start to suspect our company is vying to get included in Guinness World Records 2025 with “the most blunders in consecutive press releases”…
Next up, just waiting to happen: A social media post on the collaboration with EDGX mixing up the Belgian
and German 
flags.But seriously - these constant errors NEED to stop!!! How hard can it be?!
Unprofessional and not befitting for a world-class company…
supersonic001
Regular
BrainChip on LinkedIn: #embeddedworld2024
Reflecting on the final day at #EmbeddedWorld2024, we're grateful for the incredible interest in BrainChip's Akida technology. So many witnessed firsthand its…
buena suerte :-)
BOB Bank of Brainchip
🫦
Pom down under
Top 20
Well I don’t think it would cost that much as everyone of our presentations always looks like they they have gone down to the dollar shop to buy everything.Well, what did you expect? After all, we are on a tinyML budget…
Last edited:
Smoothsailing
Regular
Fingers and toes crossed we are in the mix somehowPC makers have been in a slump since the end of a pandemic-era boom in sales for working and learning from home. The industry has pinned its hopes of a revival on a new generation of laptops and desktops with more powerful chips that can handle artificial intelligence tasks such as summarizing documents without having to send data to the cloud.
Intel is preparing such chips, as are rivals including Qualcomm. Reuters has reported that Nvidia also plans to use its strength in AI chips to jump into the PC market with a new chip as early as 2025.
Apple is planning to highlight the AI processing capabilities of the new chips
Apple plans Mac line overhaul with AI-focused M4 chips, Bloomberg News reports
The company is aiming to release the updated computers late this year and early next year, and they would include new iMacs, a low-end 14-inch MacBook Pro, high-end 14-inch and 16-inch MacBook Pros, and Mac minis, the report said. The industry has pinned its hopes of a revival on a new...
Chippers ,
Thinking Mercedes should tweek their chariot which contains our technology.
Distinguish it from the crowd..... maybe even call it the Flying Akida .
Yes , I'm board.
Regards,
Esq.
Attachments
"In the mix somehow"??
Fullmoonfever
Top 20
Probs posted but first I've seen of it.
Nice simple positive summary.
techovedas.com
“Edge AI gives wings (of inference) to thin clients, as it puts 32-bit MCUs on steroids”
Although the company is still in the early stages of deployment in a few niche markets. But we believe this company has the potency to go big. BrainChip is involved in edge AI on-chip processing and learning.
The company’s first-to-market neuromorphic processor, AkidaTM, mimics the human brain to analyze only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision and economy of energy. Moreover, keeping machine learning local to the chip, without the need to access the cloud, dramatically reduces latency while improving privacy and data security.
“Akida’s performance per microwatt can be orders of magnitude better than the current solutions on the market.”
In enabling effective edge compute to be universally deployable across real-world applications, such as connected cars, consumer electronics and industrial IoT, BrainChip is proving that on-chip AI close to the sensor is the future for customers’ products as well as the planet.
Nice simple positive summary.
7 Semiconductor Startups Revolutionizing EdgeAI - techovedas
Discover the cutting-edge landscape of EdgeAI with these 7 dynamic semiconductor startups.
techovedas.com
7 Semiconductor Startups Revolutionizing EdgeAI
-
EDITORIAL TEAM
- MARCH 22, 2024
- SEMICONDUCTOR ECOSYSTEM
Introduction
This opens up a whole new market for affordable chips that can do artificial intelligence and machine learning tasks, costing less than $10 each. This is a big change from the expensive chips like TPUs/GPUs/DLAs (deep learning accelerator) currently required for implementing Cloud AI, costing tens of thousands of dollars each. We have compiled a list of 7 semiconductor startups that are making their mark with their AI Chipsets.“Edge AI gives wings (of inference) to thin clients, as it puts 32-bit MCUs on steroids”
2. BrainChip
Although the company is still in the early stages of deployment in a few niche markets. But we believe this company has the potency to go big. BrainChip is involved in edge AI on-chip processing and learning.
The company’s first-to-market neuromorphic processor, AkidaTM, mimics the human brain to analyze only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision and economy of energy. Moreover, keeping machine learning local to the chip, without the need to access the cloud, dramatically reduces latency while improving privacy and data security.
“Akida’s performance per microwatt can be orders of magnitude better than the current solutions on the market.”
In enabling effective edge compute to be universally deployable across real-world applications, such as connected cars, consumer electronics and industrial IoT, BrainChip is proving that on-chip AI close to the sensor is the future for customers’ products as well as the planet.
Pom down under
Top 20
Bravo
If ARM was an arm, BRN would be its biceps💪!
Our Chief Technology Officer, Dr Tony Lewis was the former Senior Director of Technology at Qualcomm and was the creator of Qualcomm's Zeroth neural processing unit and its software API, which is so AMAZING since the cognitive computing abilities developed though the Zeroth program were subsequently incorporated into the SNAPDRAGON processor.
That being said, wouldn't it would be fantastic to get Tony do a podcast or two to hear his detailed thoughts on Zeroth (SnapDragon) and AKIDA and all of the various complementary aspects of each technology that when combined together will be guaranteed to blow everyone's sock off)?
While we wait for these podcasts to be produced, we can entertain ourselves by watching this video from Tony when he was with Qualcomm.
That being said, wouldn't it would be fantastic to get Tony do a podcast or two to hear his detailed thoughts on Zeroth (SnapDragon) and AKIDA and all of the various complementary aspects of each technology that when combined together will be guaranteed to blow everyone's sock off)?
While we wait for these podcasts to be produced, we can entertain ourselves by watching this video from Tony when he was with Qualcomm.
Akida is Best product and solution on the market!Probs posted but first I've seen of it.
Nice simple positive summary.
7 Semiconductor Startups Revolutionizing EdgeAI - techovedas
Discover the cutting-edge landscape of EdgeAI with these 7 dynamic semiconductor startups.
7 Semiconductor Startups Revolutionizing EdgeAI
- MARCH 22, 2024
- SEMICONDUCTOR ECOSYSTEM
Introduction
This opens up a whole new market for affordable chips that can do artificial intelligence and machine learning tasks, costing less than $10 each. This is a big change from the expensive chips like TPUs/GPUs/DLAs (deep learning accelerator) currently required for implementing Cloud AI, costing tens of thousands of dollars each. We have compiled a list of 7 semiconductor startups that are making their mark with their AI Chipsets.
“Edge AI gives wings (of inference) to thin clients, as it puts 32-bit MCUs on steroids”
2. BrainChip
Although the company is still in the early stages of deployment in a few niche markets. But we believe this company has the potency to go big. BrainChip is involved in edge AI on-chip processing and learning.
The company’s first-to-market neuromorphic processor, AkidaTM, mimics the human brain to analyze only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision and economy of energy. Moreover, keeping machine learning local to the chip, without the need to access the cloud, dramatically reduces latency while improving privacy and data security.
“Akida’s performance per microwatt can be orders of magnitude better than the current solutions on the market.”
In enabling effective edge compute to be universally deployable across real-world applications, such as connected cars, consumer electronics and industrial IoT, BrainChip is proving that on-chip AI close to the sensor is the future for customers’ products as well as the planet.
Similar threads
