BRN Discussion Ongoing

[Kachoo]

Just-in-Time is based on a Panglossian philosophy.

Given world events, I think the world will need to move to a Just-in-Case model.

Well D your not to far off on that.

I just remember how as a teen working at McDonald's the Just in Time absolutely reduced waste and was quick we did not believe it at first but it was.

 

[IloveLamp]

This is two weeks old, but I don't recall having seen this posted here.

The g mac intelligence CEO, posted about us a couple of weeks ago,

This guy is very well connected at Qualcomm............. If Qualcomm have developed their own equivalent technology, or close to it,......... Why would they partner with brain chip instead?

He would be privy to most recent tech advancements that Qualcomm and the industry have to currently offer given the connections he has.

Why Amite Mate?? Why choose Brainchip over Qualcomm?

I know why. Do you?

"Excited to partner with Brainchip, a renowned leader in edge AI computing "

GMAC Intelligence Goes Big with BrainChip Partnership

Learn how this partnership amplifies the capabilities of AI and cognitive computing to drive innovation across various industries.

brainchip.com

View attachment 41407 View attachment 41408 View attachment 41409

Very cool name btw i have to say I'm a little jealous. Imagine living in aus with that name.....

"What's your name mate?"

Amit - "Amit Mate"

"Nice to meet you Amit, what's your last name?"

Amit - "Oh Ffs here we go again "

 

[Humble Genius]

Another job advertised at Brainchip:

240 offres d’emploi Formateur Informatique - France

Les 240 meilleures offres d’emploi Formateur Informatique du jour (France). Utilisez votre réseau professionnel pour changer de travail ! De nouvelles offres d’emploi Formateur Informatique sont ajoutées tous les jours.

www.linkedin.com

About the job​

Brainchip is a leading technology company specializing in the design of electronics IP that accelerates AI on the edge. Our innovative solutions enable ultra-efficient and high-performance neural network processing for artificial intelligence applications. As part of our continuous growth, we are seeking a skilled Software Engineer with expertise in machine learning frameworks to join our team.

Responsibilities:

• Collaborate with cross-functional teams to design, develop, and deploy machine learning models and algorithms for our products.
• Implement and optimize machine learning frameworks such as Tensorflow/Keras, PyTorch, and ONNX.
• Develop software tools and infrastructure to support machine learning workflows, data preprocessing, model training, and evaluation.
• Stay up-to-date with the latest advancements in machine learning and apply relevant techniques to enhance our products.
• Conduct code reviews, provide constructive feedback, and maintain code quality and documentation.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Strong proficiency in machine learning frameworks such as Tensorflow/Keras, PyTorch, and ONNX.
• Demonstrated experience in developing and deploying machine learning models and algorithms.
• Solid understanding of deep learning concepts, neural networks, and related architectures.
• Proficiency in programming languages such as Python, or C++.
• Experience with data preprocessing, feature engineering, and data visualization techniques.
• Knowledge of software engineering best practices, including version control, testing, and code documentation.
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Excellent communication skills and ability to effectively articulate technical concepts to both technical and non-technical team members.

Preferred Qualifications:

• Understanding of computer vision or natural language processing (NLP) concepts and applications.
• Experience with deployment and optimization of machine learning models on edge devices.
• Active participation in the machine learning community, such as publications or open-source contributions.

Benefits:

• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth and career advancement.
• Collaborative and inclusive work environment.
• Flexible work hours with the possibility to work remotely three days a week.
• Access to cutting-edge technology and resources.

 

[Falling Knife]

Another cool option offered globally



and we know how BRN fits in to Ai Labs and Minsky

 

[TECH]

Hi all,

Just a few views/thoughts.

You may have noticed when posters post job adverts, the number of applicants early within hours is pretty high given the specialized
field we work in, I see that as very promising.

The Quarterly Investors Podcast (QIP) is due within the next 2 weeks, it could well be revealing as we drive towards the release date
of AKD 2.0 within 40 business days.

Some great posts coming through, thanks for your time and effort.

Tech

 

[Boab]

A bit of revision (March 12th 2023) on Sunday morning is always refreshing. Perhaps this is where some of that customer revenue came from?

“In order to serve the diverse and growing IoT market, developers require a new standard of secure, high-performance microcontrollers, combined with endpoint ML capabilities,” said Paul Williamson, SVP and GM, IoT Line of Business at Arm. “The integration of Arm’s highest performance microcontroller with the Akida portfolio enables our partners to deliver on this potential and efficiently handle advanced machine learning workloads.”

The integration of Akida and the Arm Cortex-M85 processor is an important step forward for BrainChip, demonstrating the company’s commitment to developing cutting-edge AI solutions that deliver exceptional performance and efficiency.

“We are delighted Akida can now seamlessly integrate with the Arm Cortex-M85 processor, which is one of the most advanced and efficient MCU platforms available for intelligent IoT,” said Nandan Nayampally, CMO of BrainChip. “This is a significant milestone for BrainChip, as it drives new possibilities for high-performance, low-power AI processing at the edge. We are excited to offer our mutual customers the benefits of this powerful combination of technologies.”

 

[IloveLamp]

https://www.embedded.com/an-eventful-week-in-the-world-of-arm-and-risc-v/

Tick tock.........

 

[IloveLamp]

This might help to satisfy the doubters of our likely association with BMW

Is it just me, or are Robs likes beginning to make a lot more sense...?

Pay attention folks, greatness unfolding at Brainchip.

Valeo on LinkedIn: Remote Vehicle Operation - BMW & Valeo

We are proud to push connected and automated driving technologies even further through our collaboration with BMW Group. It's not magic, it's our sensors…

www.linkedin.com

View attachment 41281

Innoviz to develop new lidar platform for next-gen BMW automated vehicles

Innoviz is developing an enhanced solution including the InnovizTwo lidar, a new InnovizCore compute box, and AI-powered software solutions including an industry-first MRM system to enable Level 3 automated driving capabilities to a broader range of future vehicles.

insideautonomousvehicles.com

Redirecting

‐--------UNRELATED----------

EVgo and General Motors Open 1,000th DC Fast Charging Stall as Part of Metropolitan Charging Collaboration

EVgo Inc. (NASDAQ: EVGO), one of the nation’s largest public fast charging networks for electric vehicles, and General Motors have surpassed 1,000 fast charging stalls as part of their longstanding collaboration to expand fast charging infrastructure. First announced in 2020 and expanded upon in...

news.gm.com

 

[Boab]

https://www.embedded.com/an-eventful-week-in-the-world-of-arm-and-risc-v/

Tick tock.........

Good article outlining the fierce competition leading up to ARM's IPO.
Tenstorrent and SiFive mentioned.
We appear to be well connected.

From an article by Sally Ward-Foxton April 2022

“It’s advantageous for BrainChip to align with industry leaders to make sure their customers have a seamless integration experience, so BrainChip can deliver the requisite software that runs on the host processor and makes it easier for the end user to integrate their products and ours,” he said.

Jones described work done so far as the “tip of the iceberg,” adding that the two companies have so far demonstrated compatibility of BrainChip’s IP with SiFive’s RISC–V architecture. The companies will work together on an ongoing basis to further integrate software and hardware IP.

“We have ambitious plans going forward,” Jones said. “SiFive has made great strides in the last year or so, bringing vector processing to market now that [vector processing] has found its niche in AI and image signal processing.”

Part of SiFive’s plan is to build an ecosystem of AI accelerator IP providers whose products are compatible with its host processor IP.

“Our relationship with BrainChip is in no way exclusive,” Jones said. “BrainChip is the first partner we’ve gone public with, but we’re talking to many other players in this space.”

While BrainChip is the company’s first hardware IP partner, SiFive has design wins for its host processor IP, including data center AI accelerator company Tenstorrent.

“Certainly, we’re open to exploring partnerships with people who have novel technology,” he said. “Companies that are bringing IP or chips to market can’t ignore RISC–V as a platform just because of the market share we’re taking.”

 

[charles2]

Posters are amping up the quality of posts as we approach the starting line of visible sales. Not that I don't miss the personality and brilliance of Fact Finder, but it seems as a board we are recovering from the shock of his departure/lengthy sabbatical.

 

[rgupta]

Posters are amping up the quality of posts as we approach the starting line of visible sales. Not that I don't miss the personality and brilliance of Fact Finder, but it seems as a board we are recovering from the shock of his departure/lengthy sabbatical.

There are so many valueable contributors here but no one can match FF.
We all miss you FF.

 

[Moonshot]

Good article outlining the fierce competition leading up to ARM's IPO.
Tenstorrent and SiFive mentioned.
We appear to be well connected.

From an article by Sally Ward-Foxton April 2022

“It’s advantageous for BrainChip to align with industry leaders to make sure their customers have a seamless integration experience, so BrainChip can deliver the requisite software that runs on the host processor and makes it easier for the end user to integrate their products and ours,” he said.

Jones described work done so far as the “tip of the iceberg,” adding that the two companies have so far demonstrated compatibility of BrainChip’s IP with SiFive’s RISC–V architecture. The companies will work together on an ongoing basis to further integrate software and hardware IP.

“We have ambitious plans going forward,” Jones said. “SiFive has made great strides in the last year or so, bringing vector processing to market now that [vector processing] has found its niche in AI and image signal processing.”

Part of SiFive’s plan is to build an ecosystem of AI accelerator IP providers whose products are compatible with its host processor IP.

“Our relationship with BrainChip is in no way exclusive,” Jones said. “BrainChip is the first partner we’ve gone public with, but we’re talking to many other players in this space.”

While BrainChip is the company’s first hardware IP partner, SiFive has design wins for its host processor IP, including data center AI accelerator company Tenstorrent.

“Certainly, we’re open to exploring partnerships with people who have novel technology,” he said. “Companies that are bringing IP or chips to market can’t ignore RISC–V as a platform just because of the market share we’re taking.”

Thanks for reminding everyone about SiFive- the significance of being their first hardware IP partner… the preeminent RISCV hardware design shop (which will be a major industry standard along with arm) who work with tenstorrent, whose CEO is the semiconductor industry guru, and COO also just happens to join us for our podcast… the IP licenses will come when the products are developed, my view is the share market doesn’t appreciate the timelines nor do most investors have the patience or stomach for the volatility- my hope is it will seem obvious in retrospect.

 

[TopCat]

Infineon looking for someone to achieve their doctoral degree with the thesis on digital neuromorphic and risc-v architecture. To begin in October

View attachment 41336 View attachment 41338

Is it just coincidence that Infineon are looking to research digital neuromorphic technology on risc-v architecture after this weeks announcement of them joining a risc-v consortium with NXP, Qualcomm, etc….. I’d a love to be a fly on the wall at their meetings

 

[robsmark]

Another job advertised at Brainchip:

240 offres d’emploi Formateur Informatique - France

Les 240 meilleures offres d’emploi Formateur Informatique du jour (France). Utilisez votre réseau professionnel pour changer de travail ! De nouvelles offres d’emploi Formateur Informatique sont ajoutées tous les jours.

www.linkedin.com

View attachment 41455

About the job​

Brainchip is a leading technology company specializing in the design of electronics IP that accelerates AI on the edge. Our innovative solutions enable ultra-efficient and high-performance neural network processing for artificial intelligence applications. As part of our continuous growth, we are seeking a skilled Software Engineer with expertise in machine learning frameworks to join our team.

Responsibilities:

• Collaborate with cross-functional teams to design, develop, and deploy machine learning models and algorithms for our products.
• Implement and optimize machine learning frameworks such as Tensorflow/Keras, PyTorch, and ONNX.
• Develop software tools and infrastructure to support machine learning workflows, data preprocessing, model training, and evaluation.
• Stay up-to-date with the latest advancements in machine learning and apply relevant techniques to enhance our products.
• Conduct code reviews, provide constructive feedback, and maintain code quality and documentation.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Strong proficiency in machine learning frameworks such as Tensorflow/Keras, PyTorch, and ONNX.
• Demonstrated experience in developing and deploying machine learning models and algorithms.
• Solid understanding of deep learning concepts, neural networks, and related architectures.
• Proficiency in programming languages such as Python, or C++.
• Experience with data preprocessing, feature engineering, and data visualization techniques.
• Knowledge of software engineering best practices, including version control, testing, and code documentation.
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Excellent communication skills and ability to effectively articulate technical concepts to both technical and non-technical team members.

Preferred Qualifications:

• Understanding of computer vision or natural language processing (NLP) concepts and applications.
• Experience with deployment and optimization of machine learning models on edge devices.
• Active participation in the machine learning community, such as publications or open-source contributions.

Benefits:

• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth and career advancement.
• Collaborative and inclusive work environment.
• Flexible work hours with the possibility to work remotely three days a week.
• Access to cutting-edge technology and resources.

I’d be interested in knowing if these are new positions or if they are replacing staff that have moved on.

 

[Fullmoonfever]

Was having a look again at Cote D'Azur projects to see if any updates show up.

Nothing much.

I also wonder if the telecommunications references could related to LEAT?

Found a thesis paper dated Dec 22 by an employee at Renault Software who has now moved to another company April this year.

I think his wording around a BRN 2021 video is supposed to be "presented" though haha.

Some of the jury members were interesting.

Paper HERE

Anyway, one of his tables was a nice reminder.

 

[Bennysmadness]

Brainchip’s links to Tenstorrent through our partner SiFive. As mentioned they will license the X280 processor.

And don't forget SAMSUNG and HYUNDAI have just given $100M to Tenstorrent to fast track there AI chips.

 

[IloveLamp]

Brainchip’s links to Tenstorrent through our partner SiFive. As mentioned they will license the X280 processor.
View attachment 41481

View attachment 41482

And don't forget SAMSUNG and HYUNDAI have just given $100M to Tenstorrent to fast track there AI chips.
View attachment 41483

 

[Diogenese]

Brainchip’s links to Tenstorrent through our partner SiFive. As mentioned they will license the X280 processor.
View attachment 41481

View attachment 41482

And don't forget SAMSUNG and HYUNDAI have just given $100M to Tenstorrent to fast track there AI chips.
View attachment 41483

Hi Benny,

Jim Keller needs "that spike thingy" urgently:

https://docs.tenstorrent.com/tenstorrent/tenstorrent-pcie-cards/getting-started/minimum-requirements

System Power Supply Budget the appropriate power per card when choosing the power supply. An additional 75, 150, or 300 watts should be budgeted for each e75, e150, or e300 card.

Internet Connection Internet access is needed for driver and stack installation.

 

[Fullmoonfever]

Just another recent comparison table from a July 23 paper.

Something that was interesting and wrong if I understand correctly, is they list Akida as analog?

Either way, we're still better haha

I actually think the biggest hurdle for us at the mo is industry understanding the process given it's essentially black box tech and also having the best hardware to implement.

Neuromorphic Neuromodulation:
Towards the next generation of on-device
AI-revolution in electroceuticals

Luis Fernando Herbozo Contreras, Nhan Duy Truong Member, IEEE, Jason K. Eshraghian Member, IEEE,
Zhangyu Xu, Zhaojing Huang, Armin Nikpour, Omid Kavehei Senior Member, IEEE

Paper:

HERE

 

[wilzy123]

Just another recent comparison table from a July 23 paper.

Something that was interesting and wrong if I understand correctly, is they list Akida as analog?

Either way, we're still better haha

I actually think the biggest hurdle for us at the mo is industry understanding the process given it's essentially black box tech and also having the best hardware to implement.

Neuromorphic Neuromodulation:
Towards the next generation of on-device
AI-revolution in electroceuticals

Luis Fernando Herbozo Contreras, Nhan Duy Truong Member, IEEE, Jason K. Eshraghian Member, IEEE,
Zhangyu Xu, Zhaojing Huang, Armin Nikpour, Omid Kavehei Senior Member, IEEE

Paper:

HERE

View attachment 41499

Yeah I noticed that too... definitely a mistake, definitely digital.

Also - under GSOPS/W... what kinda value is "Akida".