BRN Discussion Ongoing

[wilzy123]

Intel Network & Edge on LinkedIn: Build the future together with Intel Foundry Services

Open System Foundry: Bringing processing power to life. Learn how #Intel Foundry Services accelerates time to market, creating new solutions and products for…

www.linkedin.com

Semiconductor Manufacturing Company for the AI Era

See how Intel is evolving semiconductor manufacturing to deliver a systems foundry for the AI era.

intel.ly

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[wilzy123]

View attachment 62664

With Akida potentially meeting the ESA OBPMark standard for space tasks, it not only opens up direct opportunities in space technology markets but also bolsters the company's position and potential across various high-tech industries.

1. Enhanced Brand Credibility: Achieving certification for space applications is a testament to the reliability and robustness of the technology. This high level of endorsement could enhance the brand's credibility and open up more high-stakes markets, such as military and aerospace, where durability and performance under extreme conditions are critical.
2. Expansion into New Markets: With proven capability in extreme conditions, the Akida product might attract interest from industries that require high levels of data processing reliability and efficiency. These could include automotive (particularly for autonomous vehicles), industrial IoT, and healthcare, where real-time data processing with low power consumption is crucial.
3. Innovation Leadership: Participation in space missions and related technologies sets a company apart as an innovation leader. This positioning can attract investment, partnerships, and talented employees, all of which are beneficial for a technology company's growth and expansion.
4. Increased Investment and Funding Opportunities: The visibility and prestige associated with space and defense industries can lead to increased interest from investors and possibly more favorable terms in funding rounds. This financial influx can be crucial for further research and development as well as scaling production capabilities.
5. Competitive Advantage: By meeting the stringent requirements of space applications, BrainChip can differentiate its products from competitors. This could lead to an increased market share in the neuromorphic computing sector and potentially set a new standard for what customers expect in terms of processing capabilities and power efficiency.

 

[IloveLamp]

I note the Analog there does that exclude BRN or ?

Analog devices is one of the companies involved, our known connection is ONSEMI

 

[Smoothsailing]

I was hoping you would say that , thanks.

 

[CHIPS]

The research work we presented was done in colllboration with our friends at BrainChip (Gilles Bézard and Alf Kuchenbuch). Brief introduction to our work that got deployed on Brainchip AKIDA neuromorphic processor:

Be nice to your friends, TATA, and share your meal and more with them!

 

[Guzzi62]

With Akida potentially meeting the ESA OBPMark standard for space tasks, it not only opens up direct opportunities in space technology markets but also bolsters the company's position and potential across various high-tech industries.

1. Enhanced Brand Credibility: Achieving certification for space applications is a testament to the reliability and robustness of the technology. This high level of endorsement could enhance the brand's credibility and open up more high-stakes markets, such as military and aerospace, where durability and performance under extreme conditions are critical.
2. Expansion into New Markets: With proven capability in extreme conditions, the Akida product might attract interest from industries that require high levels of data processing reliability and efficiency. These could include automotive (particularly for autonomous vehicles), industrial IoT, and healthcare, where real-time data processing with low power consumption is crucial.
3. Innovation Leadership: Participation in space missions and related technologies sets a company apart as an innovation leader. This positioning can attract investment, partnerships, and talented employees, all of which are beneficial for a technology company's growth and expansion.
4. Increased Investment and Funding Opportunities: The visibility and prestige associated with space and defense industries can lead to increased interest from investors and possibly more favorable terms in funding rounds. This financial influx can be crucial for further research and development as well as scaling production capabilities.
5. Competitive Advantage: By meeting the stringent requirements of space applications, BrainChip can differentiate its products from competitors. This could lead to an increased market share in the neuromorphic computing sector and potentially set a new standard for what customers expect in terms of processing capabilities and power efficiency.

Sounds good but I can't find anything supporting your claim?

Please provide a link, thanks.

 

[wilzy123]

Sounds good but I can't find anything supporting your claim?

Please provide a link, thanks.

Can't be bothered, sorry. Please do your own research.

 

[Guzzi62]

Can't be bothered, sorry. Please do your own research.

Wow really? Is it that hard providing a link?

I thought one of the ideas having a forum are to shares ideas and anything news worthy about the company, normally supported with a link to support your claim, research for the whole forum community if you will or we can just shut it down and do our own DD.

I learned something about you today and it's not positive.

 

[wilzy123]

Wow really? Is it that hard providing a link?

I thought one of the ideas having a forum are to shares ideas and anything news worthy about the company, normally supported with a link to support your claim, research for the whole forum community if you will or we can just shut it down and do our own DD.

I learned something about you today and it's not positive.

Ok, I give in. Here's a link.

 

[manny100]

View attachment 62663


Partnership with BrainChip Allows Cornell Tech Students Exposure to Neuromorphic Computing

Cornell Tech has partnered with BrainChip, the world’s first commercial producer of neuromorphic artificial intelligence, to introduce a new course in neuromorphic computing to its graduate students by joining the company’s University AI Accelerator Program.
The Cornell Tech course on neuromorphic technology – computing that mimics the neural behavior of the human brain – was introduced to students in the electrical and computer engineering program in the spring 2024 semester.

BrainChip’s University AI Accelerator Program provides platforms, and guidance to students at higher education institutions with AI engineering programs training.
Students participating in the program will have access to real-world, event-based technologies offering unparalleled performance and efficiency to advance their learning through graduation and beyond.

The course at Cornell Tech is currently being taught by Jae-sun Seo, associate professor of electrical and computer engineering.
Seo joined Cornell Tech in 2023 and his research centers on hardware design of machine learning and neuromorphic algorithms as well as hardware-efficient AI algorithm design.

“Our goal at Cornell Tech is to develop leaders for the AI era who are capable of applying technical advancements emerging in industry to make a positive impact on society,” said Seo.
“One of the best ways to do this is to partner with those in both the private and public sectors to advance practical technology solutions that solve real-world challenges.
Working with BrainChip has allowed students to obtain the resources and learning experiences they need to succeed in neuromorphic computing.”

Neuromorphic solutions allow for faster systems that consume less power.
BrainChip focuses on machines that consume less power by drawing on a system of “neurons” in order to do more with less.

BrainChip’s neural processor, Akida™ IP, is an event-based technology that is inherently lower power when compared to conventional neural network accelerators.

Lower power affords greater scalability and lower operational costs.

Among the markets that BrainChip’s technology will impact are the next generation of smart cars, smart homes of today and tomorrow, and industrial IoT.

BrainChip University has implemented similar AI Accelerator Programs at a number of universities including Arizona State University, Carnegie Mellon University, Rochester Institute of Technology, the University of Oklahoma, and the University of Virginia.

LinkedIn

This link will take you to a page that’s not on LinkedIn

lnkd.in

The importance of our connection with Universities is underestimated.
The courses using AKIDA have to be approved at the highest level. The Universities have to be sure that AKIDA is the way forward because they would not risk their reputation.
The number of Universities adopting AKIDA is growing.
I note Microsoft took this route and still does.

 

[AusEire]

With Akida potentially meeting the ESA OBPMark standard for space tasks, it not only opens up direct opportunities in space technology markets but also bolsters the company's position and potential across various high-tech industries.

1. Enhanced Brand Credibility: Achieving certification for space applications is a testament to the reliability and robustness of the technology. This high level of endorsement could enhance the brand's credibility and open up more high-stakes markets, such as military and aerospace, where durability and performance under extreme conditions are critical.
2. Expansion into New Markets: With proven capability in extreme conditions, the Akida product might attract interest from industries that require high levels of data processing reliability and efficiency. These could include automotive (particularly for autonomous vehicles), industrial IoT, and healthcare, where real-time data processing with low power consumption is crucial.
3. Innovation Leadership: Participation in space missions and related technologies sets a company apart as an innovation leader. This positioning can attract investment, partnerships, and talented employees, all of which are beneficial for a technology company's growth and expansion.
4. Increased Investment and Funding Opportunities: The visibility and prestige associated with space and defense industries can lead to increased interest from investors and possibly more favorable terms in funding rounds. This financial influx can be crucial for further research and development as well as scaling production capabilities.
5. Competitive Advantage: By meeting the stringent requirements of space applications, BrainChip can differentiate its products from competitors. This could lead to an increased market share in the neuromorphic computing sector and potentially set a new standard for what customers expect in terms of processing capabilities and power efficiency.

 

[Wags]

Sounds good but I can't find anything supporting your claim?

Please provide a link, thanks.

Sounak Dey on LinkedIn: Had an amazing time presenting at the Morpheus workshop at the European…

Had an amazing time presenting at the Morpheus workshop at the European Space Agency - ESA/ESTEC in Noordwijk, Netherlands last week as an invited speaker…

www.linkedin.com

 

[CHIPS]

https://www.datacenterdynamics.com/en/news/ai-chip-startup-deepx-raises-80m-receives-529m-valuation/

AI chip startup Deepx raises $80m, receives $529m valuation​

Funding round was led by SkyLake Equity Partners

South Korean AI chip startup Deepx has raised $80 million in a Series C funding round, leading to the company receiving a valuation of $529 million.
The investment round was led by SkyLake Equity Partners, a South Korean private equity firm, and included participation from AJU IB and previous backer Timefolio Asset Management.

Founded in 2018 by former Apple and Cisco engineer Lokwon Kim, Deepx produces an 'All-in-4 AI solution' that includes the company’s DX-V1 and DX-V3 processors for use in consumer electronics, and its DX-M1 chip and DX-H1 chips, which have been designed for AI computing boxes and AI servers.

In comments to TechCrunch, Kim said that Deepx would use the funding to mass produce the company’s four existing AI chips, in addition to supporting the development and launch of its next generation of large language model (LLM) on-device solutions.

“Nvidia’s GPU-based solutions are the most cost-effective for large language model services like ChatGPT; the total power consumed by GPUs operating has reached levels exceed the electrical energy of an entire country,” Kim told TechCrunch. “This collaborative operation technology between server-scale AI and on-device large AI models are expected to reduce energy consumption and costs a lot compared to relying solely on data centers.”

Deepx currently employs around 65 people but does not yet have any customers, although Kim said the company was working with more than 100 potential clients and strategic partners. The company also has more than 259 patents pending in the US, China, and South Korea.

 

[IloveLamp]

Sounak Dey on LinkedIn: Had an amazing time presenting at the Morpheus workshop at the European…

Had an amazing time presenting at the Morpheus workshop at the European Space Agency - ESA/ESTEC in Noordwijk, Netherlands last week as an invited speaker…

www.linkedin.com

 

[Tothemoon24]

Arm Holdings plans to launch AI chips in 2025, Nikkei reports


SoftBank Group's (9984.T) Arm Holdings (O9Ty.F), plans to develop artificial-intelligence (AI) chips, seeking to launch the first products in 2025, Nikkei Asia reported on Sunday.


UK-based Arm will set up an AI chip division and aim to build a prototype by spring 2025, the report said. Mass production will be handled by contract manufacturers and is expected to start in the autumn of 2025, Nikkei Asia said.


Arm will pay for initial development costs, which may go up hundreds of billions of yen, with SoftBank also contributing, the report said.


Once a mass-production system is established, the AI chip business could be spun off and placed under SoftBank, the newspaper said, adding that SoftBank is already negotiating with Taiwan Semiconductor Manufacturing Corp (TSMC) (2330.TW) and others over manufacturing, looking to secure production capacity.


Arm and SoftBank declined to comment, while TSMC did not immediately respond to requests for comment.


The British chip designer, which licenses its chip designs and earns funds through royalties, has been expanding into the data-centre market, where operators are looking to build their own chips to power new AI models and reduce their reliance on dominant supplier Nvidia (NVDA.O).


SoftBank is expected to slip back into the red when it reports earnings on Monday. Investors are eagerly awaiting clues about new growth investments as the company has ample liquidity and can monetise its huge holding in Arm, whose share price roughly doubled in February on excitement over AI.


Reporting by Gursimran Kaur in Bengaluru and Anton Bridge in Tokyo; Editing by Matthew Lewis

 

[Diogenese]

https://www.datacenterdynamics.com/en/news/ai-chip-startup-deepx-raises-80m-receives-529m-valuation/

AI chip startup Deepx raises $80m, receives $529m valuation​

Funding round was led by SkyLake Equity Partners

South Korean AI chip startup Deepx has raised $80 million in a Series C funding round, leading to the company receiving a valuation of $529 million.
The investment round was led by SkyLake Equity Partners, a South Korean private equity firm, and included participation from AJU IB and previous backer Timefolio Asset Management.

Founded in 2018 by former Apple and Cisco engineer Lokwon Kim, Deepx produces an 'All-in-4 AI solution' that includes the company’s DX-V1 and DX-V3 processors for use in consumer electronics, and its DX-M1 chip and DX-H1 chips, which have been designed for AI computing boxes and AI servers.

In comments to TechCrunch, Kim said that Deepx would use the funding to mass produce the company’s four existing AI chips, in addition to supporting the development and launch of its next generation of large language model (LLM) on-device solutions.

“Nvidia’s GPU-based solutions are the most cost-effective for large language model services like ChatGPT; the total power consumed by GPUs operating has reached levels exceed the electrical energy of an entire country,” Kim told TechCrunch. “This collaborative operation technology between server-scale AI and on-device large AI models are expected to reduce energy consumption and costs a lot compared to relying solely on data centers.”

Deepx currently employs around 65 people but does not yet have any customers, although Kim said the company was working with more than 100 potential clients and strategic partners. The company also has more than 259 patents pending in the US, China, and South Korea.

DeepX uses MACs:

US2023168921A1 NEURAL PROCESSING UNIT 20200821

[0165] FIG. 3 is a schematic conceptual diagram illustrating one processing element of an array of processing elements that can be applied to an embodiment of the present disclosure. … [0306] The multiplier 111 multiplies the received (N) bit data and (M) bit data. The operation value of the multiplier 111 is output as (N+M) bit data, where N and M are integers greater than zero. The first input unit for receiving (N) bit data may be configured to receive a value having a characteristic such as a variable, and the second input unit for receiving the (M) bit data may be configured to receive a value having a characteristic such as a constant.

 

[Terroni2105]

DeepX uses MACs:

US2023168921A1 NEURAL PROCESSING UNIT 20200821

View attachment 62718

[0165] FIG. 3 is a schematic conceptual diagram illustrating one processing element of an array of processing elements that can be applied to an embodiment of the present disclosure. … [0306] The multiplier 111 multiplies the received (N) bit data and (M) bit data. The operation value of the multiplier 111 is output as (N+M) bit data, where N and M are integers greater than zero. The first input unit for receiving (N) bit data may be configured to receive a value having a characteristic such as a variable, and the second input unit for receiving the (M) bit data may be configured to receive a value having a characteristic such as a constant.

Dio, What does this mean in relation to Akida ?

 

[manny100]

View attachment 62710




Arm Holdings plans to launch AI chips in 2025, Nikkei reports


SoftBank Group's (9984.T) Arm Holdings (O9Ty.F), plans to develop artificial-intelligence (AI) chips, seeking to launch the first products in 2025, Nikkei Asia reported on Sunday.


UK-based Arm will set up an AI chip division and aim to build a prototype by spring 2025, the report said. Mass production will be handled by contract manufacturers and is expected to start in the autumn of 2025, Nikkei Asia said.


Arm will pay for initial development costs, which may go up hundreds of billions of yen, with SoftBank also contributing, the report said.


Once a mass-production system is established, the AI chip business could be spun off and placed under SoftBank, the newspaper said, adding that SoftBank is already negotiating with Taiwan Semiconductor Manufacturing Corp (TSMC) (2330.TW) and others over manufacturing, looking to secure production capacity.


Arm and SoftBank declined to comment, while TSMC did not immediately respond to requests for comment.


The British chip designer, which licenses its chip designs and earns funds through royalties, has been expanding into the data-centre market, where operators are looking to build their own chips to power new AI models and reduce their reliance on dominant supplier Nvidia (NVDA.O).


SoftBank is expected to slip back into the red when it reports earnings on Monday. Investors are eagerly awaiting clues about new growth investments as the company has ample liquidity and can monetise its huge holding in Arm, whose share price roughly doubled in February on excitement over AI.


Reporting by Gursimran Kaur in Bengaluru and Anton Bridge in Tokyo; Editing by Matthew Lewis

SoftBank's Arm plans to launch AI chips in 2025

CEO Son seeks to invest $64bn, including in data centers and robotics

asia.nikkei.com

Another article on the same topic.
ARM has traditionally been cloud only.
No doubt they (ARM) have noticed that cloudless Edge AI will have a growing influence and hedge their bets accordingly.

 

[Tels61]

Unbelievable Wilziy123, you really are a piece of work aren't you, I refrain from commenting often on this forum, and when I do its generally to praise a members comments or thoughts, however, your attitude is very aloof and condescending, your response to Guzzi62 was totally unnecessary, you are very unpleasant! I base this on your years of history not just this particular comment, your memes' reflect this, and I am amazed at the 14 supportive replies you received. I apologize to the rest of the forum for being totally unrelated but felt I had to say something. Sorry and thank you for those who chose to read. (Ok, back to normal transmission)