BRN Discussion Ongoing

[Fullmoonfever]

Funny how we were discussing the cybersecurity topic and Cyber-Neuro RT earlier today.

Just saw this advertised from a couple of weeks ago.

Scroll to the end. Still in the cyber security game it appears

Internship Position in AI, ML and MetaOptics - Part time/ Full time - Quantum Ventura

Tremendous research opportunity(ies) is (are) available to work on cutting edge AI/ML AND/OR metamaterial optics (meta- optics) projects for self-motivated part time or full time candidates open to learning new technologies. For a three to six month engagement [extendable], at 20 to 40 hours per...

neurotechx.com

Internship Position In AI, ML And MetaOptics – Part Time/ Full Time – Possible Remote (San Jose, CA)​

• FULL TIME
• Internship
• Part Time
• San Jose, CA, USA
• Posted on November 23, 2022

Quantum Ventura
Website

Internship Position in AI, ML and MetaOptics​

San Jose, CA · Part time/ Full time

Quantum Ventura​

Quantum Ventura Inc pursues applications of sophisticated research to problems in Artificial Intelligence / Machine Learning, AI / ML Verification & Validation, Image Processing and Classification with Metamaterial Optics, Computational Electromagnetics, Synthetic Aperture Radar (SAR), Cybersecurity, Secure Mobile technology (QuantumX / Diamond-Droid), and HPC-driven Big Data Analytics. Some of Quantum’s clients include the Department of Energy, DARPA, the Department of Defense, the Navy, and the Defense Health Agency. We design creative solutions and build unique products for challenging problems, with complete end-to-end solutions and with unsurpassed technical expertise.

Headquartered in the heart of Silicon Valley’s historic San Jose downtown, Quantum Ventura is in the business of creating innovative and groundbreaking components, systems, and technologies, with the mission of delivering advanced customer- centric solutions. Quantum Ventura’s R&D division, “QuantumX Research Labs”, provides cutting edge technology solutions to federal government agencies and corporations throughout the U.S. We excel in developing concepts into market-focused products and customer-driven solutions.

​

Internship(s) Description​

Tremendous research opportunity(ies) is (are) available to work on cutting edge AI/ML AND/OR metamaterial optics (meta- optics) projects for self-motivated part time or full time candidates open to learning new technologies. For a three to six month engagement [extendable], at 20 to 40 hours per week, the candidate will work on projects associated with designing, developing, prototyping, and testing advanced research topics in deep learning AND/OR simulation, optimization, inverse design, and testing of metasurface photonic / meta-optic devices. The work can potentially lead to filing patent applications and publishing technical papers.

​

Qualifications​

Part time or full time candidates or students pursuing or who have completed a Master’s degree or Doctorate in Computer Science, Electrical Engineering, Material Science, Applied Physics, Physics or other relevant disciplines with a background in deep learning AND/OR knowledge of electromagnetism, optics, image processing / computer vision, and the relevant math (e.g., linear algebra, partial differential equations, statistics) and numerical simulations, is desired. Additional requirements are as follows:

Machine learning/deep learning skills​

• Strong programming and math/physics skills;
• Experience in quick prototyping and scientific research methods (e.g., reading technical papers);
• Experience in Python, pandas, numpy, scikit learn, etc.;
• Experience in deep learning frameworks including Tensorflow, PyTorch, or Keras;
• Experience in machine learning including data cleaning, visualization, training from scratch, fine-tuning classifiers, etc.;
• Experience in neuromorphic computing (e.g., Intel Loihi or BrainChip Akida) or cybersecurity is a plus.

 

[SERA2g]

Wait what. I played a few cs 1.6 lan comps too next perth catch up let’s definitely discuss!

Return to castle Wolfenstein? Enemy Territory?

I played in a WA State CS 1.6 clan back when i was 19-20. Living in a small country town made it hard to do anything professional. :/

 

[Sirod69]

LinkedIn Login, Sign in | LinkedIn

Login to LinkedIn to keep in touch with people you know, share ideas, and build your career.

www.linkedin.com

Take a look at what Mohamed Awad had to say about the evolution and trajectory of devices built #onArm in conversation with Jon Masters.

Discover more about the future of Arm in Mark Hambleton’s #ArmDevSummit keynote:

Virtual Hardware: Accelerate Software Development

Arm Virtual Hardware (AVH) accelerates software development by virtualizing IoT kits and Arm systems in the cloud, supporting agile practices like DevOps and MLOps.

www.arm.com

 

[cosors]

Great news with Intel.

Last week Renesas and this week Intel.
Weekly inserts of good news is brilliant and I hope we keep it up and maybe there may be a big bang before Xmas (possibly an ANN of Akida2000?)

I still don't know why many posters are surprised of having no ASX ANNs. Using media releases / Twitter has been the way of expressing news since the 4C ANN a while ago that included patents as one lump of news. I see why they are doing it and it will only benefit long term investors and not traders too much as it is flying (trying to fly?) under the radar. Remember AFR writing hit pieces on BRN and hotcrapper screwing us over? Why play their game? Obviously ASX doesn't mind bots and manipulation so now and then as long as it benefits their mates. Let's play our own game in which only dedicated investors can benefit. So many of retail were in it for the short term seeing the heavy selling after the last 4C and disappointment with revenue. Those who sold were never invested.

Those posters annoyed with shorters, I don't really care. Again, it is a trading issue. I think they are mental shorting us when an ANN could drop at any time of about 3 or 4 different items like a new patent, partner, tech upgrade for example. Sure we are not using the ASX now, but we can when we want. I'd rather go to a casino than short BRN.

In my opinion we are becoming too big too ignore with all our partners and household names like NASA and only in the last year: Mercedes Benz and Intel. The more we trade at these levels, the bigger the slingshot will be when the penny does drop for those waiting on the sidelines.

Lastly, seems like a lot of us were hungover or a bit bored on Sunday. I like reading all sorts of stuff, but it would be good if we could link our convos back to BRN. The Funk Machine is fine with me promoting his religion, but only if it can be linked back to BRN. I wonder if there are any dots there? I asked the new Chat GPT which is like text AI about neuromorphic tech and it came back with a pretty borderline response. It didn't want to commit an opinion on BRN!

Have a great week all, and careful trading with Wednesday's big news out of the US.

I'll refer the comment to myself. What does machine learning have to do with Akida and BRN A thought that made me post this little story. Why the Chinese don't let their tool learn about neuromorphic computing is beyond me. But as far as the whole topic is concerned, they have huge problems right now anyway. It's negligible if a Chinese chat bot that doesn't learn enough by itself doesn't know anything about BRN.

 

[FlipDollar]

I remember Mike getting paid out handsomely by some of the long term holders last year and as far back as 2020.

To be honest, there was some merit in all of that to a certain degree… but after todays news, I tend to think Mike always knew Intel were going to wrap theirs arms around us…

My opinion only but I see a takeover by June 2024 by Intel. Don’t hate - just my opinion!!! Love you all from the HC days through to here… please don’t sideline me! Haha

I wrote that after a bottle of 2016 Craggy Range Sophia.

Please ignore the post, but don’t ignore a bottle of Sophia if you ever get the opportunity.

Have a good day

 

[Sirod69]

Rochester Institute of Technology- Computer engineering becomes part of inaugural program focused on neuromorphic technologies - powered by BrainChip -

Computer engineering becomes part of inaugural program focused on neuromorphic technologies

RIT recently became one of the inaugural academic partners in the BrainChip University AI Accelerator Program. As part of the partnership, RIT’s computer engineering program will receive hardware as well as lecture modules for classes detailing how the novel chips can be programmed and used to...

www.rit.edu

 

[Sirod69]

BrainChip will help advance innovation on Intel’s foundry manufacturing platform. The fully customizable event-based AI neural processor enables inference and learning at the edge. Its scalable architecture and small footprint boosts efficiency by orders of magnitude — supporting up to 1024 nodes that connect over a mesh network. https://lnkd.in/djXzkw44 via eeNews Europe

BrainChip joins Intel Foundry Services to drive Neuromorphic AI

Bringing Neuromorphic AI at the edge to IFS, BrainChip will help advance innovation on Intel’s foundry manufacturing platform.

www.eenewsembedded.com

 

[supersonic001]

BrainChip on LinkedIn: BrainChip will help advance innovation on Intel’s foundry manufacturing…

BrainChip will help advance innovation on Intel’s foundry manufacturing platform. The fully customizable event-based AI neural processor enables inference and…

www.linkedin.com

 

[FrederikSchack]

GrAI Matter competition?​

Like others, I came across some impressive numbers from GrAI Matter, so decided to look into what they are and if they are serious competitors.

I can see that it was earlier mentioned that GrAI Matter doesn´t sell IP, which is probably not correct, at least not anymore:

Brainchip has four IP Vendors:

• Rensas
• Megachips
• ARM
• Intel

Where GrAI Matter Labs has listed two:

• ARM
• Synopsys

I think it´s very attractive to get into the Synopsys ecosystem and I expect that Synopsys would find it attractive to have Brainchip too, because of the key advantages of Akida.

Key differences​

Diogenese have explained some of the key differences between GrAI Matter and Akida from Brainchip

https://thestockexchange.com.au/threads/brn-discussion-2022.1/post-20384

https://semiengineering.com/spiking-neural-networks-research-projects-or-commercial-products/

It seems like Akida is ahead in regards to working independently from the Internet, learning on the edge and can also do recognition with high probability with just 4 bits, where GrAI matter have decided on 8 or 16 bits, which is costing a lot more compute resources and apparently, they are more limited with regards to input and needs to compare pixels from picture to picture. On the other hand, the GrAI VIP has 18 million neurons and it might not matter so much in regards to power consumption that the die is bigger, when it´s a spiking neural network and it´s not using energy while inactive.

Overall I think we have too few details and there are to big differences in how they are working, to really say which chip is the better neuromorphic processor. Most likely they are going to have each their strengths and might both have niches that they’ll dominate and have some areas they overlap. From the few details I have seen, it seems like Akida is much better suited for the edge and that´s the most interesting market to break through in.

I read somewhere that GrAI Matter Labs initially didn´t focus on the edge, but since have changed their focus.

Popularity​

To get a better idea of the popularity of the two chips, I did some searches and it seems like Brainchip is factors more exposed on the web, which can of course partly be explained by a very big and active investor group, which GrAI Matter can´t have as they are a private company.

“GrAI Matter” returns 94 results in Google search engine

“Brainchip” returns 286.000 results in Google search engine, but of course some also write about "Brainchip" regarding Neuralink which is a misconception, but I think the result is clear anyway.

Google Trends show that GrAI Matter was trending back in Googles infancy, but now it appears that nobody really searches for it, while Brainchip is much more popular.

I also looked at domain traffic with Semrush and I don´t know how reliable those data are, but it seems like there are some organic traffic for GrAI Matter. Brainchip has almost 22 times more organic traffic, but this could be explained by a large and active investors group.

After looking into it, my feeling is that GrAI matter does have something going for it, they are integrated with two IP vendors, but they probably have to do a lot more marketing to really break through and they will probably find it hard to compete with Akida on the edge.

 

[alwaysgreen]

GrAI Matter competition?​

Like others, I came across some impressive numbers from GrAI Matter, so decided to look into what they are and if they are serious competitors.

I can see that it was earlier mentioned that GrAI Matter doesn´t sell IP, which is probably not correct, at least not anymore:

View attachment 24193

Brainchip has four IP Vendors:

• Rensas
• Megachips
• ARM
• Intel

Where GrAI Matter Labs has listed two:

• ARM
• Synopsys

I think it´s very attractive to get into the Synopsys ecosystem and I expect that Synopsys would find it attractive to have Brainchip too, because of the key advantages of Akida.

Key differences​

Diogenese have explained some of the key differences between GrAI Matter and Akida from Brainchip

https://thestockexchange.com.au/threads/brn-discussion-2022.1/post-20384

https://semiengineering.com/spiking-neural-networks-research-projects-or-commercial-products/

It seems like Akida is ahead in regards to working independently from the Internet, learning on the edge and can also do recognition with high probability with just 4 bits, where GrAI matter have decided on 8 or 16 bits, which is costing a lot more compute resources and apparently, they are more limited with regards to input and needs to compare pixels from picture to picture. On the other hand, the GrAI VIP has 18 million neurons and it might not matter so much in regards to power consumption that the die is bigger, when it´s a spiking neural network and it´s not using energy while inactive.

Overall I think we have too few details and there are to big differences in how they are working, to really say which chip is the better neuromorphic processor. Most likely they are going to have each their strengths and might both have niches that they’ll dominate and have some areas they overlap. From the few details I have seen, it seems like Akida is much better suited for the edge and that´s the most interesting market to break through in.

I read somewhere that GrAI Matter Labs initially didn´t focus on the edge, but since have changed their focus.

Popularity​

To get a better idea of the popularity of the two chips, I did some searches and it seems like Brainchip is factors more exposed on the web, which can of course partly be explained by a very big and active investor group, which GrAI Matter can´t have as they are a private company.

“GrAI Matter” returns 94 results in Google search engine

View attachment 24194

“Brainchip” returns 286.000 results in Google search engine, but of course some also write about "Brainchip" regarding Neuralink which is a misconception, but I think the result is clear anyway.

View attachment 24195



Google Trends show that GrAI Matter was trending back in Googles infancy, but now it appears that nobody really searches for it, while Brainchip is much more popular.

View attachment 24196



I also looked at domain traffic with Semrush and I don´t know how reliable those data are, but it seems like there are some organic traffic for GrAI Matter. Brainchip has almost 22 times more organic traffic, but this could be explained by a large and active investors group.

View attachment 24197

View attachment 24198

After looking into it, my feeling is that GrAI matter does have something going for it, they are integrated with two IP vendors, but they probably have to do a lot more marketing to really break through and they will probably find it hard to compete with Akida on the edge.

Excellent work looking into this. Thank you

I wouldn't give too much weight to the searches on Brainchip though. I dare say, it likely has a lot to do with retail investors like us searching for clues!

 

[goodvibes]

Computer engineering becomes part of inaugural program focused on neuromorphic technologies

RIT recently became one of the inaugural academic partners in the BrainChip University AI Accelerator Program. As part of the partnership, RIT’s computer engineering program will receive hardware as well as lecture modules for classes detailing how the novel chips can be programmed and used to...

www.rit.edu

 

[Jimmy17]

Where are my mates @LexLuther77, @Salad1, and @Cardpro today?

And @toasty , @Jimmy17 , @Xhosa12345 , @H.E. Pennypacker

Hello Wilzy... im not sure why you called my name out? Typically I just read everything here but be silent???

 

[M_C]

 

[alwaysgreen]

View attachment 24199

Shame to lose an employee but good luck to Kimberly moving forward.

Let's hope her replacement is a gun!

Great spotting with CS KIM!

 

[alwaysgreen]

Hello Wilzy... im not sure why you called my name out? Typically I just read everything here but be silent???

Wilzy doesn't look kindly on others having an opinion .

 

[Sirod69]

“RISC-V products are just better. Better power, better performance, and more.”
@jackckang
summed it up perfectly at the #RISCVSummit, highlighting why we’re going to see RISC-V “take off everywhere” with SiFive’s comprehensive portfolio.

 

[Foxdog]

Maybe but it means we'll have a market cap of 180 billion USD and I'll be able to retire on a private island and bring all my friends and family along with me.

I don't need more than that

Even .1 of MS would be $25....now that's a pretty healthy return from current SP. I hope that's not too much to expect in 5 years

 

[charles2]

Rochester, NY

FYI

The home of the aforementioned Rochester Institute of Technology, Xerox, Eastman Kodak and the Eastman School of Music and Bausch and Lomb.

The birthplace of Susan B Anthony.....leader in women's suffrage movement. Not too far away Joseph Smith had his visions leading to the founding of the LDS church, Book of Mormon and migration to Utah etc

Remarking on the terrible weather in Rochester a classmate (who was originally from Wyoming) issued his famous (to me at least) quote....."the best view of Rochester is in the rear view mirror."

We were both enduring the weather and studies at the U. of Rochester School of Medicine.

BrainChip....thank you for inspiring a brief moment of nostalgia.

 

[Sirod69]

GrAI Matter competition?​

Like others, I came across some impressive numbers from GrAI Matter, so decided to look into what they are and if they are serious competitors.

I can see that it was earlier mentioned that GrAI Matter doesn´t sell IP, which is probably not correct, at least not anymore:

View attachment 24193

Brainchip has four IP Vendors:

• Rensas
• Megachips
• ARM
• Intel

Where GrAI Matter Labs has listed two:

• ARM
• Synopsys

I think it´s very attractive to get into the Synopsys ecosystem and I expect that Synopsys would find it attractive to have Brainchip too, because of the key advantages of Akida.

Key differences​

Diogenese have explained some of the key differences between GrAI Matter and Akida from Brainchip

https://thestockexchange.com.au/threads/brn-discussion-2022.1/post-20384

https://semiengineering.com/spiking-neural-networks-research-projects-or-commercial-products/

It seems like Akida is ahead in regards to working independently from the Internet, learning on the edge and can also do recognition with high probability with just 4 bits, where GrAI matter have decided on 8 or 16 bits, which is costing a lot more compute resources and apparently, they are more limited with regards to input and needs to compare pixels from picture to picture. On the other hand, the GrAI VIP has 18 million neurons and it might not matter so much in regards to power consumption that the die is bigger, when it´s a spiking neural network and it´s not using energy while inactive.

Overall I think we have too few details and there are to big differences in how they are working, to really say which chip is the better neuromorphic processor. Most likely they are going to have each their strengths and might both have niches that they’ll dominate and have some areas they overlap. From the few details I have seen, it seems like Akida is much better suited for the edge and that´s the most interesting market to break through in.

I read somewhere that GrAI Matter Labs initially didn´t focus on the edge, but since have changed their focus.

Popularity​

To get a better idea of the popularity of the two chips, I did some searches and it seems like Brainchip is factors more exposed on the web, which can of course partly be explained by a very big and active investor group, which GrAI Matter can´t have as they are a private company.

“GrAI Matter” returns 94 results in Google search engine

View attachment 24194

“Brainchip” returns 286.000 results in Google search engine, but of course some also write about "Brainchip" regarding Neuralink which is a misconception, but I think the result is clear anyway.

View attachment 24195



Google Trends show that GrAI Matter was trending back in Googles infancy, but now it appears that nobody really searches for it, while Brainchip is much more popular.

View attachment 24196



I also looked at domain traffic with Semrush and I don´t know how reliable those data are, but it seems like there are some organic traffic for GrAI Matter. Brainchip has almost 22 times more organic traffic, but this could be explained by a large and active investors group.

View attachment 24197

View attachment 24198

After looking into it, my feeling is that GrAI matter does have something going for it, they are integrated with two IP vendors, but they probably have to do a lot more marketing to really break through and they will probably find it hard to compete with Akida on the edge.

I've read a lot about GrAI Matter Labs, let's say roughly.. can't find any competition to BRN on the fly.
They are even linked to each other. But @Diogenese can certainly tell us more about that.

...GrAI Matter Labs introduces GrAI VIP, Vision Inference Processor, a full-stack AI system-on-chip platform driving a significant leap in rapid responsiveness for visual inference capabilities in robotics, industrial automation, AR/VR, and surveillance becomes products and markets. GrAI Matter Labs' proven NeuronFlow event-based dataflow computing technology in GrAI VIP enables industry-leading inference latency that is up to 100x better than competing solutions.......

....
GML has the potential to revolutionize consumer and enterprise audiovisual experiences with everyday devices with high fidelity while meeting the stringent performance and cost requirements for endpoint content manipulation. We believe GML's unique differentiation could help the company grow rapidly in a segment where it can enjoy a first-mover advantage......

...GML's upcoming hardware concept, GML VIP (not yet available for production), is a SoC (System on Chip) that integrates a neuron engine, GrAICore, with the necessary properties for low-power, ultra-low latency and high-precision inference processing at the endpoint ....

 

[Steve10]

FYI

Here is a list of ARM Holdings customers from 2010:

Intel 7.0%
TSMC 5.7%
Samsung 5.7%
TI 4.6%
NEC 3.5%
ST 3.5%
ZTE 2.8%
Broadcom 2.6%
AMD 2.5%
Infineon 2.4%
Apple 2.1%
Qualcomm 2.0%
Fujitsu 1.9%
UMC 1.9%
Lenovo 1.8%

Notice the 3 x foundries, Intel, TSMC & Samsung at the top of the list. In order for the foundries to use another companies IP a licence agreement is required. There will be three licence agreements required for Akida IP for these three foundries.

Similar to Intel licencing ARM Holdings IP.

Intel to license ARM Holdings technology for use in chip-manufacturing business​

Aug. 16, 2016 5:12 PM ETIntel Corporation (INTC)INTC, TSM, ARMH, LGEAFBy: Eric McCaffrey, SA News Editor

• The move was announced at the Intel Developer Forum in San Francisco.
• Intel's (NASDAQ:INTC) foundries will grant external parties access to its 10-nanometer production lines to fabricate Arm-based (NASDAQ:ARMH) semiconductors.
• LG Electronics (OTC:LGEAF) will use the arrangement to produce mobile-phone components.
• With this development, Intel's manufacturing segment appears open to additional partnerships with companies looking to outsource semiconductor production. Apple and Qualcomm, for example, currently contract with Taiwan Semiconductor Manufacturing Company (NYSE:TSM) along with other manufacturers and could potentially look to Intel's setup at some point in the future.

And Intel's main customers are:

Hewlett-Packard Company accounted for 17% of our net revenue, Dell Inc. accounted for 15% of our net revenue, and Lenovo Group Limited accounted for 12% of our net revenue. No other customer accounted for more than 10% of our net revenue.

Intel is best known for developing the microprocessors found in most of the world’s personal computers. The multinational technology company is also the world’s largest manufacturer by revenue of semiconductor chips, a product used in most of the world’s electronic devices. Intel’s microprocessors are supplied and used in computers at several large tech companies, including Dell, HP, and Lenovo. Intel also manufactures graphics chips, flash memory, motherboard chipsets, and other computing devices