BRN Discussion Ongoing

[Diogenese]

This is from Renesas "machine learning" web:



e-AI Solution | Renesas

e-AI Solution | Renesas



Optimal MCU/MPU Choices by AI Application Type

There are many AI application examples, and the requirements for memory size and performance are different. Refer to the following figure to choose which MCU/MPU is best for your AI application.

As you will note, they are heavily into promoting their in-house DRP-AI, but they have previously mentioned that they saw Akida as a solution for low power applications.

They have plotted Memory v Performance, so I imagine they would see Akida as fitting n the lower left of the chart, the RE, RA, RX, RL series MCUs. That's not to say that Akida could not do all the work ... but when you've spent 10 years developing this natty DRP-AI ...

The RL78 is a low power MCU:

RL78 Low Power 8 & 16-bit MCUs | Renesas

Akida does not yet appear in Renesas publicity because they have not launched their Akida MCU yet, but I think this is the area Renesas contemplate using Akida.

 

[manny100]

https://jobs.mercedes-benz.com/job/...?trk=feed_main-feed-card_feed-article-content

Mercedes advertising for position working with spiking neural networks and neuromorphic computing for ADAS

Looks like BRN involved for sure IMO given our known connection with Mercedes.
" AI development of middleware software (compatible with spiking Neurals".
From Why Invest on the BRN website (1 reason out of 7 listed):
" Marquee brands include Mercedes, Valeo, Vorago, and NASA, and commercial IP licenses with Renesas and MegaChips. Commercial availability of semiconductor chips, IP, tools, and boards."
My bold.
Good pick up JB49.

 

[AusEire]

Has been posted before, defs worth another read tho!

Wasn't sure but worth posting a second time

 

[Jchandel]

Don't think this has been posted before?

Definitely worth reading

https://www.redeweb.com/en/articulos/dispositivos-neuromorficos-en-tinyml/

Author: Eldar Sido, Product Marketing Specialist, Renesas Electronics

 

[Sirod69]

AiLabs Inc

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[rgupta]

I was looking at hotcrapper after a long time and one thing I found missing is shareman from that platform.
Had anyone noticed the same? Does it mean a positive turn around is just round the corner?

 

[thelittleshort]

Our new ASIC Verification Engineer - former employer was Siemens EDA

His last role was Product Engineer, serving as product expert for Verification IP - specifically AMBA (Advanced Microcontroller Bus Architecture), memory and A&D (Aerospace and Defense) protocols

Is someone gearing up to roll out a product?

Daniel Keller - BrainChip | LinkedIn

Experience: BrainChip · Education: Portland State University · Location: Laguna Hills · 500+ connections on LinkedIn. View Daniel Keller’s profile on LinkedIn, a professional community of 1 billion members.

www.linkedin.com

 

[Straw]

I was looking at hotcrapper after a long time and one thing I found missing is shareman from that platform.
Had anyone noticed the same? Does it mean a positive turn around is just round the corner?

Maybe it returned whence it came.

 

[Fullmoonfever]

Looks like our mates at CMU have an open position like MB.

This one working with various AI incl neuromorphic in conjunction with their DoD and Intelligence Community customers.

Senior Software Developer - Artificial Intelligence in Pittsburgh, PA for Carnegie Mellon University

Exciting opportunity in Pittsburgh, PA for Carnegie Mellon University as a Senior Software Developer - Artificial Intelligence

main.hercjobs.org

Senior Software Developer - Artificial Intelligence
Carnegie Mellon University

APPLY NOW

Details
Posted: 01-Jul-23
Location: Pittsburgh, Pennsylvania
Type: Full-time
Salary: Open
Categories:
Staff/Administrative

Internal Number: 2019906


What We Do
At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering challenges related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.

As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we

* Build real-world, mission-scale AI capabilities through solving practical engineering problems

* Discover and define the processes, practices, and tools to support operationalizing AI for human-centered, robust, secure, and scalable mission capabilities

* Prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities

* Identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape.....

.....Position Summary: As a senior software developer on our team, you will apply the latest in software and advanced computing research and leading-edge technologies to important and challenging government problems and needs.....

.....Knowledge of Department of Defense and Intelligence Community: You are familiar with DoD or Intelligence Community software systems acquisition practices....

....Technical Experimentation. You'll experiment with emerging technologies such as augmented and virtual reality, computer vision, and deep learning, and explore the latest in advanced hardware, including FPGAs, CGRAs, TPUs, and emergent technologies such as neuromorphic and analog processors.

 

[IloveLamp]

This is from Renesas "machine learning" web:



e-AI Solution | Renesas

e-AI Solution | Renesas



Optimal MCU/MPU Choices by AI Application Type

There are many AI application examples, and the requirements for memory size and performance are different. Refer to the following figure to choose which MCU/MPU is best for your AI application.


View attachment 39116



As you will note, they are heavily into promoting their in-house DRP-AI, but they have previously mentioned that they saw Akida as a solution for low power applications.

They have plotted Memory v Performance, so I imagine they would see Akida as fitting n the lower left of the chart, the RE, RA, RX, RL series MCUs. That's not to say that Akida could not do all the work ... but when you've spent 10 years developing this natty DRP-AI ...

The RL78 is a low power MCU:

RL78 Low Power 8 & 16-bit MCUs | Renesas

Akida does not yet appear in Renesas publicity because they have not launched their Akida MCU yet, but I think this is the area Renesas contemplate using Akida.

Renesas Samples Its First 22-nm Microcontroller of the RA 32-bit Arm Cortex-M family - Electronics-Lab.com

Renesas has recently announced that they will be introducing their first MCU on the new 22nm...

www.electronics-lab.com

 

[IloveLamp]

R.B. Benosman on LinkedIn: Ryad Benosman at CVPR 2023 Workshop on Event-based Vision

I am happy to share the video of my talk at the CVPR 2023 Neuromorphic workshop. It introduces a new type of machine learning and shows for the first time a…

www.linkedin.com

CVPR 2023 Workshop on Event-based Vision

tub-rip.github.io

 

[TECH]

Good morning all,

With the release (if all's going well) with AKD 2.0 fast approaching it will be very interesting to see if a (few) companies decide that
now is the time to officially sign an IP License agreement.

Early Adopters have already had access to AKD 2.0 (maybe incorrect) as AKD 2.0 has already been touted as being available during
Q3....and from my calculations that equates to some time within the next 65 Business days !

"It has the ability to replace NVIDIA's Jetson series"​

https://monoist.itmedia.co.jp/mn/articles/2306/06/news072_2.html (remember to translate unless you can read Japanese)

Lets see some signatures before years end please

Tech from a wet and cold Far North

 

[Baisyet]

Neuromorphic Chip Market Size 2023: Industry Overview with Growth Opportunities, Development Outlook, and Revenue Strategies by 2030 | Intel Corp., BrainChip Holdings Ltd. – Insta Chronicle24

 

[Boab]

R.B. Benosman on LinkedIn: Ryad Benosman at CVPR 2023 Workshop on Event-based Vision

I am happy to share the video of my talk at the CVPR 2023 Neuromorphic workshop. It introduces a new type of machine learning and shows for the first time a…

www.linkedin.com

CVPR 2023 Workshop on Event-based Vision

tub-rip.github.io

View attachment 39138

He talks a lot about deep temporal learning. I don't fully understand it but hopefully our TENN's in the 2nd Generation will work in nicely.
From the BrainChip website

Conclusion

Temporal Event-based Neural Networks (TENNs) represent a significant advancement in processing sequential spatiotemporal data. By combining spatial and temporal convolutions, TENNs excel at capturing and exploiting the relationships within sequential data. With their impressive performance, low computational requirements, and wide-ranging applications, TENNs, running on BrainChip’s 2nd Generation Akida IP, are poised to unlock new possibilities in intelligent Edge solutions and empower various industries with highly accurate models for sequential data analysis.

 

[Labsy]

Maybe it returned whence it came.

Flies only have a limited life cycle..

 

[Labsy]

I've got a fuzzy wuzzy feeling about the next 2 weeks... Just love the smell of a new financial year in the air.... Next few months will be very interesting too. Mostly we need to hang in untill Dec Nov... cheers guys.

 

[Straw]

I've got a fuzzy wuzzy feeling about the next 2 weeks... Just love the smell of a new financial year in the air.... Next few months will be very interesting too. Mostly we need to hang in untill Dec Nov... cheers guys.

By the looks we will do so well that it'll affect the space-time continuum

 

[IloveLamp]

🔮 E05: Neuromorphic Computing & The Future of Edge AI

By 2030, neuromorphic chip designs win 20% of the edge AI hardware market

stateofthefuture.substack.com

 

[David holland]

ANd

Good morning all,

With the release (if all's going well) with AKD 2.0 fast approaching it will be very interesting to see if a (few) companies decide that
now is the time to officially sign an IP License agreement.

Early Adopters have already had access to AKD 2.0 (maybe incorrect) as AKD 2.0 has already been touted as being available during
Q3....and from my calculations that equates to some time within the next 65 Business days !

"It has the ability to replace NVIDIA's Jetson series"​

https://monoist.itmedia.co.jp/mn/articles/2306/06/news072_2.html (remember to translate unless you can read Japanese)

Lets see some signatures before years end please

Tech from a wet and cold Far North

I hope we have some new agreements before mxt yrs AGM ha ha , no more spin nxt yr results have to come into play

 

[Labsy]

In my opinion this is fantastic news for brainchip. It is evidence that we are in the sweet spot and an untouchabke entity on its own. It makes us very attractive to Nvidia and competitors but just out of reach ATM. When akida 2.0 is launched stand back and watch the billion dollar budgets froth at the mouth...

Nvidia Acquired AI Startup That Shrinks Machine-Learning Models

Nvidia in February quietly acquired OmniML, a two-year-old artificial intelligence startup whose software helped shrink machine-learning models so they could run on devices rather than in the cloud, according to a spokesperson and LinkedIn profiles of former OmniML employees who now work at ...

www.theinformation.com

Even Nvidia acknowledges cloudless function is the holy grail....