BRN Discussion Ongoing

[Bloodsy]

Intel Unveils Quantum Leap. The Dawn of Neuromorphic Computing! - YaNoticias

Intel has introduced its pioneering “Loihi 3” chip, aiming to revolutionize the field of neuromorphic computing. The Loihi 3 mimics human brain architecture, enhancing real-time learning and adaptability. This technology could significantly advance robotics, analytics, and the Internet of Things...

www.yanoticias.es

Hey droobs,

Cannot find anything on 'Loihi 3', that entire article reads like it was written by Ai, and Pat Gelsinger is no longer the CEO of INTEL.

That article goes in the trash bucket

 

[TheDrooben]

Hey droobs,

Cannot find anything on 'Loihi 3', that entire article reads like it was written by Ai, and Pat Gelsinger is no longer the CEO of INTEL.

That article goes in the trash bucket

Yes I couldn't find any further info as well. It was accredited to a Ben Kline being the writer so appears legit.....but who knows in this day and age. Just throwing it out there and maybe someone will find further info

 

[Frangipani]

ITRI has set up and incubated companies such as UMC (United Microelectronics Corporation) and TSMC (Taiwan Semiconductor Manufacturing Company)!

https://www.itri.org.tw/english/ListStyle.aspx?

The Birth of Taiwan’s Semiconductor Industry

Since its establishment in 1973, ITRI has played an integral part in pioneering Taiwan’s IC development. Yet it is little known that the world-famous semiconductor industry in Taiwan all started with a breakfast meeting.

itritoday.itri.org

The Birth of Taiwan’s Semiconductor Industry​

Since its establishment in 1973, ITRI has played an integral part in pioneering Taiwan’s IC development. Yet it is little known that the world-famous semiconductor industry in Taiwan all started with a breakfast meeting.

The time was 1974. In an unassuming breakfast shop, seven men were having a meeting, formulating something big for Taiwan. These individuals were the then Minister of Economic Affairs Yun-Suan Sun, Director General of Transportation and Communications Yu-Shu Kao, ITRI President Chao-Chen Wang, Telecommunication Laboratories Director Bao-Huang Kang, Executive Yuan Secretary-General Hua Fei, Director General of Telecommunications Hsien-Chi Fang, and Radio Corporation of America (RCA) Laboratories Director Wen-Yuan Pan. Over a meal, the semiconductor blueprint that would shape Taiwan’s future was established.

Wen-Yuan Pan, one of the key players, shut himself away after the meeting to draft a proposal for the IC development project. ITRI’s Electronics Research and Service Organization was the first to join this project. Two years later, a contract initiating the IC technology transfer and licensing was signed between ITRI and RCA, marking the official introduction of semiconductor technology to Taiwan.

ITRI and RCA signed an IC technology transfer and licensing contract in 1976.
A group of 19 skilled engineers were then handpicked by ITRI and sent to RCA for intensive training in the US. The engineers were divided into teams, each specializing in a different aspect of IC development. One team studied IC design in New Jersey, another delved into manufacturing processes in Ohio, a third team mastered verification procedures in California, while the fourth team honed their skills in equipment handling in Florida.

The return of these talented engineers marked a new era for Taiwan’s semiconductor industry. They combined their newfound expertise and laid the foundations of an IC demonstration factory. In 1977, Taiwan’s first IC production line was launched, and within six months, it achieved a 70% yield rate, surpassing even the original RCA plant’s 50% yield rate. The first batch of Taiwan-made ICs for electronic watches was produced the next year, which made a splash and transformed the nation into the world’s third-largest electronic watch exporter.

Encouraged by this success, ITRI took a step forward and birthed United Microelectronics Corporation (UMC) in 1980—one of the earliest to make its home in Hsinchu Science Park—and transferred its 4-inch wafer technology and its team of researchers to the spin-off company. UMC, too, flourished in the wake of its creation, but global technology protectionism posed a challenge for Taiwan to acquire overseas technology.

Taiwan’s first 4-inch wafer manufacturer, UMC, was spun off by ITRI in 1980.

Undeterred, ITRI decided to initiate the very large-scale integration (VLSI) project. Notably, it was also around the same time that Morris Chang started his tenure as ITRI President. Within two years of the project’s inception, the VLSI demonstration factory became a reality.

In 1987, ITRI spun off a chip manufacturing facility, transferring fabs, equipment, technologies, and 98 professionals to the company. This venture was none other than the now world-renowned Taiwan Semiconductor Manufacturing Company (TSMC). Having a dedicated foundry to produce chips for other semiconductor companies was a new concept at the time. This IC OEM model allowed IC design companies to commission TSMC to produce their designs without the need for costly fabs, spurring the establishment of numerous new IC design companies in Taiwan. In 1989, ITRI spun off Taiwan Mask Corporation, further lowering the manufacturing cost of IC products and streamlining procedures, which bolstered market competitiveness. As the 1990s dawned, Taiwan’s semiconductor industry had developed a complete industry chain.

ITRI continued its pursuit of excellence in the world of semiconductors. In 2010, ITRI established Asia’s first 3D IC R&D laboratory equipped with a comprehensive through-silicon via (TSV) process for 12-inch 3D ICs.

Collaborating with the world-leading semiconductor IP design company Arm in 2021, ITRI set up an innovative IC design platform. ITRI also launched the Southern Rainforest Project to develop materials, components, equipment, and applications and cultivate talent in compound semiconductors, spurring growth in automotive power and green energy electronics.

 

[Frangipani]

Hey droobs,

Cannot find anything on 'Loihi 3', that entire article reads like it was written by Ai, and Pat Gelsinger is no longer the CEO of INTEL.

That article goes in the trash bucket

Yes I couldn't find any further info as well. It was accredited to a Ben Kline being the writer so appears legit.....but who knows in this day and age. Just throwing it out there and maybe someone will find further info

I believe @Bloodsy is spot on - it appears to be AI-generated content, including hallucinations…

Have a look at the “guy’s” author profile:

Ben Kline, Author at YaNoticias

www.yanoticias.es

It totally resembles the style of how “esteemed author and technology analyst” “Isaiah Gallagher” is described on Polish website www.elblog.pl:

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-442989

Feel free to check out the following post for similarly modelled fake author profiles on elblog.pl.:

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-443027

 

[Bravo]

I wonder if ClustroAI’s AI models can be optimized for neuromorphic processing and if their containerized approach could work well together with our technology???

If not...

NVIDIA-Backed Edge AI Startup ClustroAI Raises $12M to Bring AI Processing to Local Devices​

San Francisco-based ClustroAI raised $12M in Series A funding to advance its edge AI technology that enables local device AI processing without cloud computing

By Oliver DaleFebruary 19, 20253 Mins Read

TLDR​

• ClustroAI secured $12M in Series A funding led by Forum Ventures, bringing total funding to $15M with previous NVIDIA seed investment
• Company develops edge AI technology that enables running AI models on local devices without cloud dependency
• Platform uses containerized architecture supporting LLMs, AIGC, and real-time processing while optimizing GPU resources
• NVIDIA serves as strategic partner in shifting AI computation from data centers to edge devices
• Funding will expand hardware compatibility beyond GPUs to include FPGA, TPU, and NPU chipsets

---

San Francisco-based edge AI startup ClustroAI has secured $12 million in Series A funding to advance its technology that enables AI models to run on local devices without cloud computing. The latest round, led by Forum Ventures with participation from MetaBlast and Metaverse Group, brings the company’s total funding to $15 million, including a previous seed round backed by NVIDIA.
ClustroAI’s core technology uses a containerized architecture that allows AI applications to run directly on devices like smartphones, industrial machines, and autonomous systems. This approach eliminates the need to transfer data to cloud servers for processing.
The platform supports various AI applications, including large language models (LLMs), AI-generated content (AIGC), and speech translation. It optimizes GPU resource allocation to speed up inference and training while keeping data on the device.
By reducing reliance on cloud infrastructure, ClustroAI aims to make AI deployment more cost-effective for businesses. The platform cuts down on bandwidth usage and cloud computing expenses while improving data privacy through local processing.

Seed Sound​

NVIDIA, which led ClustroAI’s seed round, has been working to move AI computing from centralized data centers to edge devices. The partnership aligns with this industry shift, as ClustroAI’s protocol-based system turns GPUs, NPUs, and sensors into independent computing nodes.
Chris, co-founder of ClustroAI, explained that their protocol-based architecture enables dynamic resource scheduling across devices. This allows compute power to be available on demand, whether for industrial machinery or smart devices.
The company plans to use the new funding to develop automated tools that simplify AI model updates for enterprises. These tools will work similarly to mobile app updates, removing complex technical steps from the deployment process.
ClustroAI is also building a distributed AI compute network using container orchestration technology. This network connects computing power across multiple devices to improve resource allocation and make local AI processing more efficient.
To expand its reach, ClustroAI is adding support for more types of hardware beyond GPUs. The company is working to make its platform compatible with FPGA, TPU, and NPU chipsets. This broader hardware support will enable AI capabilities in more applications, from smartphones to smart factories.
The platform uses a unified API to make AI integration straightforward for developers. This interface aims to provide the same ease of use as cloud-based solutions while offering better security and flexibility.
By processing AI workloads locally, ClustroAI’s technology helps enterprises avoid expensive cloud costs. The local processing approach also reduces privacy risks since sensitive data stays on the device rather than being sent to external servers.
The funding announcement comes as more enterprises look for ways to implement AI without depending on cloud services. ClustroAI’s technology offers a solution by enabling on-device intelligence across various applications.
Forum Ventures led the Series A round, bringing expertise in enterprise technology investments. Additional investors MetaBlast and Metaverse Group also participated, showing confidence in ClustroAI’s approach to edge AI.
The investment will help ClustroAI expand its team and accelerate product development. The company aims to make its AI deployment tools available to more enterprises across different industries.
https://coincentral.com/

NVIDIA-Backed Edge AI Startup ClustroAI Raises $12M to Bring AI Processing to Local Devices - CoinCentral

San Francisco-based ClustroAI raised $12M in Series A funding to advance its edge AI technology that enables local device AI processing without cloud computing

coincentral.com

 

[Bloodsy]

I believe @Bloodsy is spot on - it appears to be AI-generated content, including hallucinations…

Have a look at the “guy’s” author profile:

Ben Kline, Author at YaNoticias

www.yanoticias.es

It totally resembles the style of how “esteemed author and technology analyst” “Isaiah Gallagher” is described on Polish website www.elblog.pl:

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-442989

View attachment 77806



Feel free to check out the following post for similarly modelled fake author profiles on elblog.pl.:

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-443027

Cheers @Frangipani , absolutely no surprise.....

Didn't mean to come across harsh either @TheDrooben !

Great reminder to everyone to double check any sources that are shared here, or anywhere else. That article especially can scare people who don't check themselves, or don't have time to - and then act on their investment on the basis of disinformation, misinformation.

Unfortunately more of these types of 'news' websites and articles are becoming more and more prevalent, ironically with the advent of AI proliferation.

Good luck chippers

 

[TheDrooben]

Cheers @Frangipani , absolutely no surprise.....

Didn't mean to come across harsh either @TheDrooben !

Great reminder to everyone to double check any sources that are shared here, or anywhere else. That article especially can scare people who don't check themselves, or don't have time to - and then act on their investment on the basis of disinformation, misinformation.

Unfortunately more of these types of 'news' websites and articles are becoming more and more prevalent, ironically with the advent of AI proliferation.

Good luck chippers

 

[Chris B]

"Thomas Chang" is he not THE best interviewer Ever!!! Sounds like a real character and great interview with the boss man

 

[Bravo]

Report suggests BAE's February 2024 acquisition of Ball Aerospace will help position it for a role in the US Iron Dome defense system.

Intriguingly, Ball Aerospace have an established partnership with the AFRL collaborating on various research and development projects. In 2021, Ball Aerospace, in collaboration with Booz Allen Hamilton, secured a contract under AFRL's Trusted and Elastic Military Platforms and Electronic Warfare System Technologies (TEMPEST) program. This initiative focuses on developing cybersecurity tools to bolster the resilience of Air Force weapon systems against cyberattacks.

As per @manny100's post yesterday when he said regarding the recent podcast with Sean, "when talking about the about the US AFRL contract and the unnamed defence contractor BRN is working closely with, he made it clear that this creates other opportunities for BRN".

I wonder if other opportunities or application use cases that the AFRL are looking into might be cybersecurity related?

Ball Aerospace Acquisition Positions BAE For U.S. Iron Dome Work | Aviation Week Network

BAE Systems’ acquisition of Ball Aerospace will help position the company for a potential role on the proposed Iron Dome for America missile defense project.

aviationweek.com

LinkedIn post 1 month ago...

And then, there's also this...

Booz Allen, Ball Aerospace Secure Potential $200M Contract for AFRL Cybersecurity Effort

The Air Force Research Laboratory in Ohio has awarded Booz Allen Hamilton and Ball Aerospace & Technologies contracts to develop cybersecurity tools designed to enhance the resilience of the service’s weapon systems against cyberattacks. In support of the Trusted and Elastic Military Platforms...

potomacofficersclub.com

 

[Diogenese]

Report suggests BAE's February 2024 acquisition of Ball Aerospace will help position it for a role in the US Iron Dome defense system.

Intriguingly, Ball Aerospace have an established partnership with the AFRL collaborating on various research and development projects. In 2021, Ball Aerospace, in collaboration with Booz Allen Hamilton, secured a contract under AFRL's Trusted and Elastic Military Platforms and Electronic Warfare System Technologies (TEMPEST) program. This initiative focuses on developing cybersecurity tools to bolster the resilience of Air Force weapon systems against cyberattacks.

As per @manny100's post yesterday when he said regarding the recent podcast with Sean, "when talking about the about the US AFRL contract and the unnamed defence contractor BRN is working closely with, he made it clear that this creates other opportunities for BRN".

I wonder if other opportunities or application use cases that the AFRL are looking into might be cybersecurity related?

View attachment 77816



View attachment 77819

Ball Aerospace Acquisition Positions BAE For U.S. Iron Dome Work | Aviation Week Network

BAE Systems’ acquisition of Ball Aerospace will help position the company for a potential role on the proposed Iron Dome for America missile defense project.

aviationweek.com

LinkedIn post 1 month ago...

View attachment 77817



And then, there's also this...

View attachment 77821

Booz Allen, Ball Aerospace Secure Potential $200M Contract for AFRL Cybersecurity Effort

The Air Force Research Laboratory in Ohio has awarded Booz Allen Hamilton and Ball Aerospace & Technologies contracts to develop cybersecurity tools designed to enhance the resilience of the service’s weapon systems against cyberattacks. In support of the Trusted and Elastic Military Platforms...

potomacofficersclub.com

Hi Bravo,

Rob Whyte's reference to hybrid architecture could encompass Qualcomm's hybrid architecture where AI loads are shared between CPU, GPU, and NPU depnding on the type of load.

https://www.qualcomm.com/content/da...I-with-an-NPU-and-heterogeneous-computing.pdf

As previously mentioned, most generative AI use cases can be categorized into on-demand, sustained, or pervasive. For on-demand applications, latency is the KPI since users do not want to wait. When these applications use small models, the CPU is usually the right choice. When models get bigger (e.g., billions of parameters), the GPU and NPU tend to be more appropriate. For sustained and pervasive use cases, in which battery life is vital and power efficiency is the critical factor, the NPU is the best option.


What this suggests to me is that Qualcomm do not have the confidence that Hexagon can handle all use cases competently.

A rider on that is that TL mentioned that Akida is moving to 16 bit, which indicates higher precision is required for some use cases - so it's coming down to a real arm wrestle.

I wonder what applications could require such precision.

I doubt it's cybersecurity because of the limited vocabulary and syntax.

Could it be for AFRL micro-doppler radar? In MDR, you are looking for very small variations in the frequency of the reflected radar signal.

https://www.aumanufacturing.com.au/brainchips-human-like-ai-wins-it-us-air-force-radar-contract 20241210

The AFRL MDR article mentions TENNs, which can be implemented as an algorithm, but we have been told that Akida and TENNs are better together.

Late edition:
On the other hand, $1.8M is pretty mingy for developing a 16-bit version of Akida.

 

[manny100]

Hi Bravo,

Rob Whyte's reference to hybrid architecture could encompass Qualcomm's hybrid architecture where AI loads are shared between CPU, GPU, and NPU depnding on the type of load.

https://www.qualcomm.com/content/da...I-with-an-NPU-and-heterogeneous-computing.pdf

As previously mentioned, most generative AI use cases can be categorized into on-demand, sustained, or pervasive. For on-demand applications, latency is the KPI since users do not want to wait. When these applications use small models, the CPU is usually the right choice. When models get bigger (e.g., billions of parameters), the GPU and NPU tend to be more appropriate. For sustained and pervasive use cases, in which battery life is vital and power efficiency is the critical factor, the NPU is the best option.


What this suggests to me is that Qualcomm do not have the confidence that Hexagon can handle all use cases competently.

A rider on that is that TL mentioned that Akida is moving to 16 bit, which indicates higher precision is required for some use cases - so it's coming down to a real arm wrestle.

I wonder what applications could require such precision.

I doubt it's cybersecurity because of the limited vocabulary and syntax.

Could it be for AFRL micro-doppler radar? In MDR, you are looking for very small variations in the frequency of the reflected radar signal.

https://www.aumanufacturing.com.au/brainchips-human-like-ai-wins-it-us-air-force-radar-contract 20241210

The AFRL MDR article mentions TENNs, which can be implemented as an algorithm, but we have been told that Akida and TENNs are better together.

Late edition:
On the other hand, $1.8M is pretty mingy for developing a 16-bit version of Akida.

Sean in the podcast said the US AFRL was about TENNs. No mention of AKIDA.
Bascom as we know for the Navy is AKIDA1000 and now for other Bascom/Navy products the 1500 and no mention of TENNs.
Not sure why the US AFRL is not going with AKIDA as well????

 

[The Pope]

Anil mankar sent his congratulations on this one. Any takers on this one linked to more progression between BRN and MB?

https://www.linkedin.com/posts/francoispiednoel_msoc-today-patented-activity-7297629134887755776-xWWj?utm_source=share&utm_medium=member_ios&rcm=ACoAABIdRdoBnkoOnPlFE9GDGo27xteO8G5zVf0

 

[GStocks123]

New regional sale manger Korea-

Check out this job at BrainChip :
https://www.linkedin.com/jobs/view/4155477814

 

[DingoBorat]

I reckon you would really enjoy this interview, ( if you haven't already seen it )
Palmer Luckey ( Anduril founder ) 32 years old.
Just took over $22 Billion IVAS contract from Microsoft 4 days ago.
Started Occulus when he was 19.
After watching this, I'm just praying that he's aware of BrainChip
Would be nice to have this bloke on side.

Thanks for sharing Taproot, I just got around to watching this over the last couple of days..

This guy is a visionary and really is a Real Life "Tony Stark" (although he still needs to work on the look a bit..)

Anduril, is going to be a defence contractor to watch and he is definitely open to working with "the little guy" knowing his views on his opportunities as a teenager.

He would have to be aware of us, but if he hasn't "played" with our tech specifically, I would want us to be sending him some chips etc..

AKIDA and TENNs, would definitely help him achieve and improve the things he is up to and I think his Company, will be a Big Player in the Future.

Turning Soldiers into Superheroes

As of today, Anduril Industries is taking the reins of the largest project of its kind in history: the United States Army’s Integrated Visual Augmentation System (IVAS) program. For me, this …

palmerluckey.com

 

[Bravo]

New regional sale manger Korea-

Check out this job at BrainChip :
https://www.linkedin.com/jobs/view/4155477814

Sounds promising!

• Build and maintain strong relationships with key SOC customers, understanding their needs and providing tailored IP solution

 

[Diogenese]

Sounds promising!

• Build and maintain strong relationships with key SOC customers, understanding their needs and providing tailored IP solution

Footware already?

I prefer the thong and sock look myself, but in the cold weather I go for budgie smugglers.

 

[Baisyet]

@Diogenese @uiux you guys might be able to help us understand on below which was posted on LinkedIn as one of the guy coment on BrB and the answer below got me confused.

https://www.linkedin.com/posts/neuromorphicism_if-you-are-confused-about-snn-frameworks-activity-7298312962807590913-cPoR?utm_source=share&utm_medium=member_desktop&rcm=ACoAADddiMMB5VKcWop0ldBd_wPPEk8Zg3qji64

Peter Sillan you bring up good points, and highlight the key gap to realizing this groundswell : a lack of available, usable, interoperable hashtag#neuromorphic Silicon

But are you sure BrainChip is neuromorphic? To date only their marketing material says so. In disclosures at NICE, ICONS last year their CTO opened the kimono a little, and conceded that they’re really just an Event-based General Matrix Engine (ie more CNN than SNN) pipeline - although not sure if he still has CTO role, he was a new hire trying to be more transparent.

To be clear : event-based is a forward step, but maybe one of the smallest pieces of the key Neuromorphic advances, but the published brainchip patents only show changes that are more incremental, than revolutionary. And even for that, they’ve had to “roll their own” TENN. So it’s clearly an uphill battle to do just this, as a one-off chip maker, solo solution.

But if intellectually honest, just event-based but still systolic array fmac engine, is not a big differentiation from today’s GPU/TPU/AI chip arch.

An independent view of the landscape I would refer you to Catherine Schuman’s excellent paper

 

[Frangipani]

Brian Malone on LinkedIn: BrainChip’s IP for Targeting AI Applications at the Edge - EE Times Podcast

I thought that this was an excellent episode with the team at BrainChip. They discuss recent advances like TENNs (Temporal Event-based Neural Networks). I…

www.linkedin.com

 

[JoMo68]

@Diogenese @uiux you guys might be able to help us understand on below which was posted on LinkedIn as one of the guy coment on BrB and the answer below got me confused.

https://www.linkedin.com/posts/neuromorphicism_if-you-are-confused-about-snn-frameworks-activity-7298312962807590913-cPoR?utm_source=share&utm_medium=member_desktop&rcm=ACoAADddiMMB5VKcWop0ldBd_wPPEk8Zg3qji64

Peter Sillan you bring up good points, and highlight the key gap to realizing this groundswell : a lack of available, usable, interoperable hashtag#neuromorphic Silicon

But are you sure BrainChip is neuromorphic? To date only their marketing material says so. In disclosures at NICE, ICONS last year their CTO opened the kimono a little, and conceded that they’re really just an Event-based General Matrix Engine (ie more CNN than SNN) pipeline - although not sure if he still has CTO role, he was a new hire trying to be more transparent.

To be clear : event-based is a forward step, but maybe one of the smallest pieces of the key Neuromorphic advances, but the published brainchip patents only show changes that are more incremental, than revolutionary. And even for that, they’ve had to “roll their own” TENN. So it’s clearly an uphill battle to do just this, as a one-off chip maker, solo solution.

But if intellectually honest, just event-based but still systolic array fmac engine, is not a big differentiation from today’s GPU/TPU/AI chip arch.

An independent view of the landscape I would refer you to Catherine Schuman’s excellent paper

That guy again… He had a crack at BrainChip a few months on LinkedIn. Same thing - querying whether we were neuromorphic and implying we were shysters. Tony Lewis replied from memory. Tony needs to contact him and put him straight. This guy could be doing a lot of damage if he his circulating doubt and mistruths.

 

[Smoothsailing]

I have Cut and pasted the above and … sent to Tony today