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If ARM was an arm, BRN would be its biceps💪!
Published Sat, Aug 31, 2024,

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Bravo

If ARM was an arm, BRN would be its biceps💪!
KAIST strikes again! 😫

The "heterovalent ion doping" method??

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Korean Researchers Discover Method to Enhance Next-Gen. Neuromorphic Computer Performance​

  • Editor Jasmine Choi
  • 2024.06.21 16:52

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Neuromorphic computing technology, which mimics the human brain to implement artificial intelligence (AI) operations. (Photo by Getty Images Bank)



Neuromorphic computing technology, which mimics the human brain to implement artificial intelligence (AI) operations. (Photo by Getty Images Bank)

A team of South Korean researchers has developed a technology that enhances the reliability and commercialization of next-generation neuromorphic computing devices by addressing their irregular characteristics.
Professor Choi Sin-hyeon from the Korea Advanced Institute of Science and Technology (KAIST) and his team, in collaboration with researchers from Hanyang University, announced on June 21 that they have developed a heterovalent ion doping method that improves the reliability and performance of next-generation memory devices.

Neuromorphic computing is a technology that implements AI operations by emulating the human brain. It uses memristors as basic units, which are advantageous for their low power consumption, high integration, and efficiency. Memristors, a portmanteau of memory and resistor, are memory devices that retain all previous states. However, due to their unstable characteristics, memristors often have low reliability.
The research team developed a “Heterovalent ion doping method” to improve the uniformity and performance of these devices. Heterovalent ions are ions that have a different valency from the atoms that originally existed, with valency being a measure of bonding.
The team proved the performance of heterovalent ion doping through atomic-level simulation analysis. The doped heterovalent ions attracted vacancies in nearby oxygen, creating stable device operation. Additionally, the space near these ions was expanded, allowing for faster device operation. According to the team's analysis, the performance of memristors doped with heterovalent ions improved in both crystalline and amorphous environments.

Professor Choi Sin-hyeon stated, "The heterovalent ion doping method can enhance the reliability and performance of neuromorphic devices,” and added, “It can contribute to the commercialization of next-generation neuromorphic computing based on memristors."
The results of this study were published in the international academic journal “Science Advances” on June 7.

 
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HopalongPetrovski

I'm Spartacus!
KAIST strikes again! 😫

The "heterovalent ion doping" method??

View attachment 68757



Korean Researchers Discover Method to Enhance Next-Gen. Neuromorphic Computer Performance​

  • Editor Jasmine Choi
  • 2024.06.21 16:52

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Neuromorphic computing technology, which mimics the human brain to implement artificial intelligence (AI) operations. (Photo by Getty Images Bank)



Neuromorphic computing technology, which mimics the human brain to implement artificial intelligence (AI) operations. (Photo by Getty Images Bank)

A team of South Korean researchers has developed a technology that enhances the reliability and commercialization of next-generation neuromorphic computing devices by addressing their irregular characteristics.
Professor Choi Sin-hyeon from the Korea Advanced Institute of Science and Technology (KAIST) and his team, in collaboration with researchers from Hanyang University, announced on June 21 that they have developed a heterovalent ion doping method that improves the reliability and performance of next-generation memory devices.

Neuromorphic computing is a technology that implements AI operations by emulating the human brain. It uses memristors as basic units, which are advantageous for their low power consumption, high integration, and efficiency. Memristors, a portmanteau of memory and resistor, are memory devices that retain all previous states. However, due to their unstable characteristics, memristors often have low reliability.
The research team developed a “Heterovalent ion doping method” to improve the uniformity and performance of these devices. Heterovalent ions are ions that have a different valency from the atoms that originally existed, with valency being a measure of bonding.
The team proved the performance of heterovalent ion doping through atomic-level simulation analysis. The doped heterovalent ions attracted vacancies in nearby oxygen, creating stable device operation. Additionally, the space near these ions was expanded, allowing for faster device operation. According to the team's analysis, the performance of memristors doped with heterovalent ions improved in both crystalline and amorphous environments.

Professor Choi Sin-hyeon stated, "The heterovalent ion doping method can enhance the reliability and performance of neuromorphic devices,” and added, “It can contribute to the commercialization of next-generation neuromorphic computing based on memristors."
The results of this study were published in the international academic journal “Science Advances” on June 7.

Ah, of course. The old atomic-level simulation analysis trick. 🤣
By Jove, why didn't we think of that???
Time to send in a gunboat!!! What!!!
victormeldrew0410_468x493.jpg
 
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CHIPS

Regular


Neuromorphic Computing​

The use of Neural Networks is leading to exciting developments in artificial intelligence, with the ability to increase machine learning accuracy in areas like speech recognition and image classification.​

However, reaching this high degree of precision using traditional computing architectures takes a significant power toll. Since much of this power consumption is related to data movement between a system’s computing elements and memory modules, the industry is investigating new technologies that can reduce this data movement. The solution lies in integrating dense, low-power NVM closer to the computing elements – also called In-Memory Computing - and Weebit ReRAM is an ideal candidate.
In addition, the next wave of AI and Machine Learning architectures will take a new approach – Analog Computing, or Neuromorphic Computing – whereby the computation is done within the storage element in an analog fashion. These architectures are designed to accurately emulate the brain’s operation and can therefore achieve orders of magnitude better power efficiency.
The Weebit ReRAM cell functions similarly to a synapse in the brain, making it a promising solution for neuromorphic computing.
Many institutes are now studying this domain, which has the potential to become a huge market in the future.
We are collaborating with research partners – both academia and industry – to explore the possibilities of using ReRAM for neuromorphic computing. This includes ongoing projects with the Non-Volatile Memory Research Group of the Indian Institute of Technology Delhi (IITD), the Institute of Nanoscience and Nanotechnology (INN) NCSR ‘Demokritos’, the Politecnico di Milano and the Technion – Israel Institute of Technology, as well as CEA-Leti. Together with Leti we were the first in the industry to demonstrate ReRAM-based spiking neural networks (SNN).
 
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KAIST strikes again! 😫

The "heterovalent ion doping" method??

View attachment 68757



Korean Researchers Discover Method to Enhance Next-Gen. Neuromorphic Computer Performance​

  • Editor Jasmine Choi
  • 2024.06.21 16:52

Print URL Copy Fonts Size Down Fonts Size Up

facebook(으)로 기사보내기
twitter(으)로 기사보내기 URL Copy(으)로 기사보내기 링크드인(으)로 기사보내기 Send to Email Share Scrap
Neuromorphic computing technology, which mimics the human brain to implement artificial intelligence (AI) operations. (Photo by Getty Images Bank)



Neuromorphic computing technology, which mimics the human brain to implement artificial intelligence (AI) operations. (Photo by Getty Images Bank)

A team of South Korean researchers has developed a technology that enhances the reliability and commercialization of next-generation neuromorphic computing devices by addressing their irregular characteristics.
Professor Choi Sin-hyeon from the Korea Advanced Institute of Science and Technology (KAIST) and his team, in collaboration with researchers from Hanyang University, announced on June 21 that they have developed a heterovalent ion doping method that improves the reliability and performance of next-generation memory devices.

Neuromorphic computing is a technology that implements AI operations by emulating the human brain. It uses memristors as basic units, which are advantageous for their low power consumption, high integration, and efficiency. Memristors, a portmanteau of memory and resistor, are memory devices that retain all previous states. However, due to their unstable characteristics, memristors often have low reliability.
The research team developed a “Heterovalent ion doping method” to improve the uniformity and performance of these devices. Heterovalent ions are ions that have a different valency from the atoms that originally existed, with valency being a measure of bonding.
The team proved the performance of heterovalent ion doping through atomic-level simulation analysis. The doped heterovalent ions attracted vacancies in nearby oxygen, creating stable device operation. Additionally, the space near these ions was expanded, allowing for faster device operation. According to the team's analysis, the performance of memristors doped with heterovalent ions improved in both crystalline and amorphous environments.

Professor Choi Sin-hyeon stated, "The heterovalent ion doping method can enhance the reliability and performance of neuromorphic devices,” and added, “It can contribute to the commercialization of next-generation neuromorphic computing based on memristors."
The results of this study were published in the international academic journal “Science Advances” on June 7.

Maybe they should just try digital..

Has anyone grabbed the patent for that? 🤔..
 
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Published Sat, Aug 31, 2024,

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…sounds like catchup, we at BRN are familiar in setting these trends, only now slowly being understood by others in industry…..!

GO Chippa !
 
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"This year, we are deploying a limited number of NEO units in selected homes for research and development purposes"

Ahead of Tesla, in that respect, who is currently only using Optimus, in his factories, as far as I'm aware..



Thought this was some kind of skit, just to make me depressed, before finding the announcement..
 
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IloveLamp

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Very good news
 
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Guzzi62

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Ask yourself, why would an employee from Qualcomm repost this.......

Happy Fathers Day 😊

View attachment 68775 View attachment 68776
But but, I posted the Lamborghini website to some friends.

Even if BRN ends up at $100 a share, I would never buy one, ever!

I can't take those private linkedin posts as dot joining to be honest, they MIGHT BE, but it's far from given.

Here is the Lambo web page so you have something nice to look at on a Sunday Father's Day, LOL.

 
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But but, I posted the Lamborghini website to some friends.

Even if BRN ends up at $100 a share, I would never buy one, ever!

I can't take those private linkedin posts as dot joining to be honest, they MIGHT BE, but it's far from given.

Here is the Lambo web page so you have something nice to look at on a Sunday Father's Day, LOL.

Then why are you here mate, To cause trouble no doubt
On your bike
 
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Kachoo

Regular
Ask yourself, why would an employee from Qualcomm repost this.......

Happy Fathers Day 😊

View attachment 68775 View attachment 68776
I mean it's good but I would say they are a fan an investor likely. If Qualcomm has not made any official statement and they are working with BRN Amanda want to keepnit hush as it is then he would be fired likely for letting info out. So I'm reluctant to believe think this is more then just a fan still good if it is.

Just how I'll process these leads from now. I mean TATA promotes us but there is no money from it yett
 
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Guzzi62

Regular
Then why are you here mate, To cause trouble no doubt
On your bike
What!! I am saying what I think dude, what is wrong with that huh?

That's sort of the whole purpose of a forum, isn't it, discussing the company we are invested in.

You go on my ignore list, your posts are useless to me.
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Ask yourself, why would an employee from Qualcomm repost this.......

Happy Fathers Day 😊

View attachment 68775 View attachment 68776

Obviously there's a very good chance he'll be attending the summit in September with plans to stop by booth #58. He's in California and the summit is in California. Makes perfect sense to me.

Hopefully looking at how TENNs can be incorporated into Snapdragon Ride Flex SoC.

Screenshot 2024-09-01 at 1.57.50 pm.png
 
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What!! I am saying what I think dude, what is wrong with that huh?

That's sort of the whole purpose of a forum, isn't it, discussing the company we are invested in.

You go on my ignore list, your posts are useless to me.
Guzz162,
Your comment above…

“companies we are invested in “

and your comment below

“Even if BRN ends up at $100 a share, I would never buy one, ever! “

Clearly Contradicting yourself and the reason I find your comments very untrustworthy indeed.
 
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Guzz162,
Your comment above…

“companies we are invested in “

and your comment below

“Even if BRN ends up at $100 a share, I would never buy one, ever! “

Clearly Contradicting yourself and the reason I find your comments very untrustworthy indeed.
I took it as
They would never buy a Lamborghini
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
What have we here?!!!!

View attachment 68676


Perhaps Klepsydra AI is the company linking us all to NASA's High Performance Space Computing chip, for which I personally believed was only just a matter of time (our involvement in that is), as per the above ruminations.

If this were true then it would bring together all of the following parties: NASA, ESA, Frontgrade Gaisler, MicroChip, SiFive and BrainChip.


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Crikey! I do believe this is where we are going to fit into the whole NASA HPSC chip thingy, which I have been obsessed with as you all know!!!!!

Now Microchip recently announced its PIC64-HPSC processors, which came out of a 2022 deal with NASA to develop “a high-performance space-flight computing [HPSC] processor. The first processor GX1000 started sampling last month and the second higher performance processor, the GX1100 will be available for sampling in March next year!

This article below describes some details that I beleive indicates where we are most likely going to fit into the whole scheme of things!!!!

MC  pm.png




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Here's another point - how can you make a neuromorphic HPSC processor if the main ingredient is missing? Becasue then everyone would be like...

Screenshot 2024-09-01 at 4.46.36 pm.png



Here's the SBIR that I have posted previously but will serve as a useful reminder.



1 pm.png





And last but not least...

Screenshot 2024-09-01 at 5.29.50 pm.png




Actually, this is the last.


Screenshot 2024-09-01 at 5.44.57 pm.png




 
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"This year, we are deploying a limited number of NEO units in selected homes for research and development purposes"

Ahead of Tesla, in that respect, who is currently only using Optimus, in his factories, as far as I'm aware..



Thought this was some kind of skit, just to make me depressed, before finding the announcement..

Haven't watched it all yet, but this is more on the Neo Beta by X1, with interviews and information, history of development etc from the people actually involved.

 
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Does anyone else get the feeling this snowball is starting to roll?
Rach, I think that the W.A.N.C.A's are starting to understand W.A.N.C.Is, slowwwwwly. Once it catches on the Bus will be twin turboed.☺
 
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