BRN Discussion Ongoing

[Terroni2105]

I know they've been advertising but looks like maybe using recruitment firm now too (not searched if cybercoders posted prev) and still trying or recently have fill the role.

Not my bold / highlighting.

Wonder how much poetic licence has been taken re where the chips are "currently" being used or if that is a Freudian slipped through

LinkedIn post HERE

Website

I’m Recruiting for a Machine Learning Engineer in Laguna Hills, CA, Mission Viejo, CA, Aliso Viejo, CA.

Check it out! I am looking to hire a talented Machine Learning Engineer in Laguna Hills, CA, Mission Viejo, CA, Aliso Viejo, CA. If this fits you please apply! Or you might know someone who would like this job. Share it with them!

www.cybercoders.com

Machine Learning Engineer - 130K-170K - Hybrid in Laguna Hills​

CyberCoders Mission Viejo, CA​

2 weeks ago 136 applicants​

Job Title: Machine Learning Engineer

Location: Hybrid in Laguna Hills, CA - 3 days onsite

Salary: $130,000 - $170,000+ Annual Base Salary (DOE), Large RSU's Package, Full Benefits, PTO, Bonuses, 401K

Requirements: 3+ years of Machine Learning experience, experience training large models with large numbers of GPUs, solid math foundation to comprehend what research scientists are creating

We are a well funded, small company that has been around for over 10 years creating chips that hold AI technology. Our chips are currently being used for electric vehicles, home security and surveillance, home intelligence and maintenance, manufacturing maintenance and management, robotics, automation, quality control, healthcare data, and fitness equipment!

Due to our increased workload, we are currently looking to add a Machine Learning Engineer to our experienced team in Laguna Hills, CA! We have about 40 employees but this person will be on our Machine Learning Team reporting to the CTO (about 5 engineers). This is an opportunity to develop AI using new algorithms that people have not seen before for new hardware that no one has programmed before! We are looking for talented candidates that have studied subjects like Theoretical Physics or AI.

Responsibilities

• Implement and optimize ML Algorithms for deployment on embedded systems
• Collaborate with research team to translate ML models
• Develop and maintain code in python, C, and C++ for real time systems
• Stay up to date with ML, embedded AI, and more AI/ML related technologies
• Enhance system performance by working on ML algorithm and hardware co-design
• Debug software to make sure it is performing efficiently on Akida
• Customer interfacing and intake to understand needs and problems, provide tech support for ML applications
• Help develop Akida software

Qualifications

• 3+ years of professional experience in ML
• Python
• C++
• RTOS
• Embedded AI
• Bachelor's Degree in Computer Science or Electrical Engineering

No free lunch ?

 

[DingoBorat]

That's a whole bunch of accelerometers and gyroscopes that could use an SNN.

Neuromorphic computing is an absolute perfect fit, for humanoid robots.

These things run on batteries obviously and you can't just chuck a big one in, like you can an EV..

It's a virgin market, with incredibly huge upscale, I can see other car companies, gravitating towards making humanoid robots as well.
Hyundai, is obviously heading that way.
Honda, has dabbled in the past.
A Mercedes humanoid robot, would be a stand out.

Just look at how complicated cars are, whether ICE or EV, with all the different systems and supply chains involved, compared to a humanoid robot, once developed.

The profit margins will likely be higher and they would be able to pump them out at a faster rate.

I really don't understand, how car companies survive and what type of market there is, for people buying "brand new" cars..
And that's actually evidenced, by the sheer number of car companies, that have either failed, or been saved, basically just for the marketing strength of their heritage.

Whack a Lamborghini badge, on a VW..

Neuromorphic has a guaranteed Future, in humanoid robotics and large scale production, isn't as far off, as some may think..

 

[DingoBorat]

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-433475

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-433479

Hi @DingoBorat and @Diogenese

AGM May 2024 -

Tony Lewis: well so TENNs is a competitor against, existing neural networks, our customers have a view of the world that is pre TENNs they have to be introduced to the technology and they're being introduced in a stage manner we're going out we're talking about TENNs we're publishing papers we're getting people familiarised I believe that once they're familiarised with TENNs they're going to see that we can use it for all sorts of things so we're proving out how we can use it for audio de-noising as you saw there but also ASR is on our agenda, processing biomedical samples that's on our agenda and also these large language models and so we're proving out what we can do with TENNs and once we have those proof points we can go to customers and say hey guys this is going to be you should go with TENNs because it's going to be a lot more power efficient than what you're using right now it's going to be good for you eat your vegetables and you know learn about our technology.

Sean: before the next question comes a couple of themes that came out if you heard my speech, we were going to put more resources into TENNs so more development.

Tony’s comments from just three months ago, along with the recent CR, SPP, and investor presentation from two weeks ago, make it hard for me to believe that we’ll be waking up to a trading halt involving the sale of TENNs IP or software anytime soon.

I like the team's efforts in building TENN's profile through articles, white paper, etc and by ensuring that there are multiple demos, models and possibly even simulation environments are ready before moving towards commercialisation. These lessons have clearly been learned from the experience with AKIDA when introducing a brand-new technology.

When we may secure an IP deal for them, wasn't the subject of my post.

It was the fact, that you were wrong, about AKIDA 2.0 TENNS IP, TENNS software and TENNS Pleaides software, not being part of BrainChip's current IP portfolio, correct?

Which you confidently stated as fact.

Saying you don't see an IP deal for them anytime soon, is your opinion and is neither right nor wrong and you are of course, free to have.

Saying something is not a product, when it is and wrongly stating that it's because it's still in development, is not an opinion, as you are stating it as a fact, which is not okay.

 

[Diogenese]

When we may secure an IP deal for them, wasn't the subject of my post.

It was the fact, that you were wrong, about AKIDA 2.0 TENNS IP, TENNS software and TENNS Pleaides software, not being part of BrainChip's current IP portfolio, correct?

Which you confidently stated as fact.

Saying you don't see an IP deal for them anytime soon, is your opinion and is neither right nor wrong.

Saying something is not a product, when it is and wrongly stating that it's because it's still in development, is not an opinion, as you are stating it as a fact, which is not okay.

The basic TeNNs concept was described in a patent application filed over 2 years ago. BRN would have already has simulation software before filing the patent application. It already has the basic functionality which is being demonstrated to potential customers and further capabilities will be revealed in a staged manner. By that, I understand that BRN are demonstrating the current functionality such as audio denoising, and, as new functionality such as ASR and LLMs are developed, this will be provided to the clients. That's the beauty of software. It can be continuously upgraded without needing a new chip.

The cloud-based FPGA is being developed to give a hands-on experience for customers to get a feel for using it, although they will not get the real speed experience, but these customers will understand the interweb delay.

Anil announced that Akida 2 was ready for tape-out several months ago. TeNNs is an integral part of Akida 2. Company "X", (not the one "formerly known as"), was said to have taken charge of the tape-out/manufacture. BRN would not have prepared for tape-out if there was not a sufficiently operative device.

Given tape-out readiness, the interesting possibility is that the IP for silicon may already be in a state to run LLMs etc, but the models need to be developed.

Goosebumps ...

Footnote: Again, speculation by uninformed sources should not be used as the basis for investment decisions.

 

[DingoBorat]

WOW ... here it is described. I heard LLM, screen in the face, doubled number of utilities, larger battery pack size, etc.
There MUST BE a need for Akida and TENNs soon.

I'm waiting for official news, on the Tesla channel..

This came up on my feed, after watching your clip and is a good watch..



I've been trying to keep abreast of humanoid robotic development, but completely missed the introduction of Figure 02, on the 6th of August, which is already being put to use, in BMW factories..



Opening sequence, is copying, for obvious comparison, almost the exact movements displayed by Optimus 2.

Unfortunately, it also has Optimus 2's "just shit my pants" walk..
Which Elon would be well aware of the ridicule of, as someone's comment on it, got over 46000 thumbs up (I was one ) and is the Top comment.

So I'm betting, it will be one of the improvements, in Optimus 3, I mean even Unitree G1 walks better..