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equanimous

Norse clairvoyant shapeshifter goddess
I once ran over a plastic bag -

,,, did you know the temperature of the muffler is higher than the melting point of plastic -

... more of a hit-and-stick than a hit-and-run.
and did you also know that

If someone is hotter than you, then you are cooler than them.

The 69th law of thermodynamics
 
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skutza

Regular
So should we have a Estimation on what this Quarterly could be?
My Estimate is that it is over $1.5 million. (I would be very happy if it was)🤞🤞
$300k. I'd like to be wrong by $1.7mill
 
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TECH

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Sorry @TECH but i do seem to recall a very unsightly unironed table cloth incident
Gee... I respect your point...but are the early adoptors focused on that or the mind blowing technology.
Some people focus on the big picture not what an iron was originally invented for..I won't sign an IP License because your table cloth hadn't been ironed...I won't buy your Iron Ore because your paperwork was covered in red dust from Karratha etc etc etc.
 
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IloveLamp

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Gee... I respect your point...but are the early adoptors focused on that or the mind blowing technology.
Some people focus on the big picture not what an iron was originally invented for..I won't sign an IP License because your table cloth hadn't been ironed...I won't buy your Iron Ore because your paperwork was covered in red dust from Karratha etc etc etc.
Jokes bruh
1388.gif
 
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This is hit and run too, Fact Finder just put up a post on HC at 6:02PM this evening post# 72778782 regarding Ericsson 6G zero energy and Akida.

I am having problems with getting links and images up on here at present, hence no charts lately and being time poor means some one else needs to go over to HC and get this very interesting post copied and put up here.
Might help @McHale

Was a Christmas present :)



However, in a Secret Santa, some more interesting news / developments :)

According to a paper just released a couple of days ago (not peer reviewed as yet) it appears some Snr Researchers over at Ericsson have been playing with Akida and "for instance, to demonstrate the feasibility of AI-enabled ZE-IoT, we have developed a prototype of a solar-powered AI-enabled ZE-IoT camera device with neuromorphic computing."

My question would be is this something off their own back or do we have a hand in the background somewhere as well :unsure:


Towards 6G Zero-Energy Internet of Things:
Standards, Trends, and Recent Results
  • December 2023

https://www.researchgate.net/public...of_Things_Standards_Trends_and_Recent_Results

IMG_20231225_225420.jpg


IMG_20231225_225847.jpg
 
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Makeme 2020

Regular
This is hit and run too, Fact Finder just put up a post on HC at 6:02PM this evening post# 72778782 regarding Ericsson 6G zero energy and Akida.

I am having problems with getting links and images up on here at present, hence no charts lately and being time poor means some one else needs to go over to HC and get this very interesting post copied and put up here.
Jumped ship to the more relaxed side.
HaHaHa
 
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CHIPS

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Say no more
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Tothemoon24

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IMG_8563.jpeg





Future glimpse: AI revolutionizes computing by crafting energy-efficient chips and offering tailored solutions to complex challenges, such as overprovisioning and energy waste reduction in data centers.

How do you feel about this future? Are you ready to make it a reality?

Future Signal:
Engineers at The Johns Hopkins University are leveraging ChatGPT4 to create neuromorphic accelerators in the form of brain-inspired chips. This innovative approach involves designing spiking neural network chips that mimic the functionality of the human brain. By utilizing natural language prompts with ChatGPT4, these engineers have developed a small silicon brain with interconnected neurons that can be adjusted in strength through an 8-bit addressable weight system. This collaboration signifies a significant leap in neural network chip design, offering the potential for efficient and real-time machine intelligence in future technologies such as autonomous vehicles and robots. The integration of ChatGPT4 with neuromorphic accelerators opens up exciting possibilities for intelligent systems that can operate with enhanced energy efficiency and cognitive capabilities, paving the way for a new era of advanced AI applications.
 
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rgupta

Regular
Good Evening...over the last few years, say 3 or more, I challenge any genuine shareholder to name one negative development in our journey to bring Peters brilliant technology to market...Cap Raises are part and parcel of growing a new young company, so don't bother mentioning them.

I can only remember positive developments for years, despite the time involved to this point I believe we have all accepted that this is how the tech industry rolls including the company's executive, we are simply moving forward.

I'll respect your views but honestly I just can't truly remember ANY NEGATIVE DEVELOPMENTS over the last 4 years...we are primed to move into the next phase of commercialization, don't some of you reckon ?

Just something to value within your investment....Tech.
Tired Good Night GIF by Holler Studios
Agree with you there is not much negative news. But the hype created does not match with the real world.
We start using LDA in 2020 and still after more than three years we are dependent on the same funding model.
It is taking time for products to hit the market. Renasas and megachips contracts are more than three years old without a product.
No new IP signed for last three years
There was no solid positive news in last three years on asx except akida 2000.
Yes a lot of partnerships but still no partnership is mentioned on asx.
Every now and then a hype is created but the same does not hold with any follow up from the company.
Yes it between we get one strike as well and still not out of woods for a second strike.
The company directors are selling their shares and last time Sean sell his shares at as low as 17 cents.
Looking at all these issues investors feel it may take some more time to materialise new deals and accordingly without a follow up plan from the company every hype cycle dies down.
So sentiment wise it is no positive either. On top company is not providing any future plan than just hope.
Even after all those, there are people like you and me who are holding tightly just considering product cycle of a technology is much bigger than a product. To me on safe side it may take another couple of years before we can start getting some positive results.
 
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FJ-215

Regular
At 7:15 - it's good to see confirmation that our NDA with Mercedes is still on foot.
Is it a non disclosure agreement if you disclose you have an agreement.....:unsure:
:unsure::unsure:
 
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Diogenese

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View attachment 58591




Future glimpse: AI revolutionizes computing by crafting energy-efficient chips and offering tailored solutions to complex challenges, such as overprovisioning and energy waste reduction in data centers.

How do you feel about this future? Are you ready to make it a reality?

Future Signal:
Engineers at The Johns Hopkins University are leveraging ChatGPT4 to create neuromorphic accelerators in the form of brain-inspired chips. This innovative approach involves designing spiking neural network chips that mimic the functionality of the human brain. By utilizing natural language prompts with ChatGPT4, these engineers have developed a small silicon brain with interconnected neurons that can be adjusted in strength through an 8-bit addressable weight system. This collaboration signifies a significant leap in neural network chip design, offering the potential for efficient and real-time machine intelligence in future technologies such as autonomous vehicles and robots. The integration of ChatGPT4 with neuromorphic accelerators opens up exciting possibilities for intelligent systems that can operate with enhanced energy efficiency and cognitive capabilities, paving the way for a new era of advanced AI applications.

Now we know why Peter retired.

Hopkins engineers collaborate with ChatGPT4 to design brain-inspired chips | Hub (jhu.edu)

https://hub.jhu.edu/2024/03/04/chatgpt4-brain-inspired-chips/

HOPKINS ENGINEERS COLLABORATE WITH CHATGPT4 TO DESIGN BRAIN-INSPIRED CHIPS

Systems could power energy-efficient, real-time machine intelligence for next-generation autonomous vehicles, robots 20240303



Through step-by-step prompts to ChatGPT4, starting with mimicking a single biological neuron and then linking more to form a network, they generated a full chip design that could be fabricated.
 
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IloveLamp

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View attachment 58591




Future glimpse: AI revolutionizes computing by crafting energy-efficient chips and offering tailored solutions to complex challenges, such as overprovisioning and energy waste reduction in data centers.

How do you feel about this future? Are you ready to make it a reality?

Future Signal:
Engineers at The Johns Hopkins University are leveraging ChatGPT4 to create neuromorphic accelerators in the form of brain-inspired chips. This innovative approach involves designing spiking neural network chips that mimic the functionality of the human brain. By utilizing natural language prompts with ChatGPT4, these engineers have developed a small silicon brain with interconnected neurons that can be adjusted in strength through an 8-bit addressable weight system. This collaboration signifies a significant leap in neural network chip design, offering the potential for efficient and real-time machine intelligence in future technologies such as autonomous vehicles and robots. The integration of ChatGPT4 with neuromorphic accelerators opens up exciting possibilities for intelligent systems that can operate with enhanced energy efficiency and cognitive capabilities, paving the way for a new era of advanced AI applications.
We get quite a few likes from John Hopkins staff on LinkedIn
 
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Tothemoon24

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Now we know why Peter retired.

Hopkins engineers collaborate with ChatGPT4 to design brain-inspired chips | Hub (jhu.edu)

https://hub.jhu.edu/2024/03/04/chatgpt4-brain-inspired-chips/

HOPKINS ENGINEERS COLLABORATE WITH CHATGPT4 TO DESIGN BRAIN-INSPIRED CHIPS

Systems could power energy-efficient, real-time machine intelligence for next-generation autonomous vehicles, robots 20240303
Can you elaborate on what you mean Dio , sometimes I can’t tell if your left , right or dynamite 🧨
 
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Stockbob

Regular
Now we know why Peter retired.

Hopkins engineers collaborate with ChatGPT4 to design brain-inspired chips | Hub (jhu.edu)

https://hub.jhu.edu/2024/03/04/chatgpt4-brain-inspired-chips/

HOPKINS ENGINEERS COLLABORATE WITH CHATGPT4 TO DESIGN BRAIN-INSPIRED CHIPS

Systems could power energy-efficient, real-time machine intelligence for next-generation autonomous vehicles, robots 20240303



Through step-by-step prompts to ChatGPT4, starting with mimicking a single biological neuron and then linking more to form a network, they generated a full chip design that could be fabricated.
LOL
 

HopalongPetrovski

I'm Spartacus!
Can you elaborate on what you mean Dio , sometimes I can’t tell if your left , right or dynamite 🧨
I have it on good authority that he leans to the left, dresses to the right, and is dy-no-mite, in bed. 🤣
 
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Diogenese

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I've come to the conclusion that as good as the 1000 eyes are, dot joining us fun, but not material. Unless it's actually saying AKIDA is in it, or there is a connection to anyone we've got a license with, then it's not AKIDA in the product. Just IMO and that's how I see it. Doesn't change my investment or how I will invest in the future. Unless it does have a direct connection, then I'll sell a few investment properties and load the $&#$ up. Then I'll pay the tax man a massive amount of money but enjoy doing so now that AKIDA is on the world stage.
If you have "a few investment properties" to sell, I think you're doing well enough without also being a shareholder in a Company like BrainChip 😛

My advice to you, is to sell your shares tomorrow and give that opportunity to someone else 😉
 
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Gies

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Frangipani

Regular
This is the body of the email, I just sent Tony Dawe.
I will let the forum know, if there is a response or information I can post, regarding the subject 👍

"You may have noticed, there has been some discussion on TSEx about Dr Tony Lewis's LinkedIn comment, concerning small LMs and neuromorphic hardware.

His comments, in my opinion, were ambiguous.
He said both, neuromorphic hardware using them and the VSLMs themselves "hold promise".

Also stating, to his knowledge, BrainChip would be the first to implement this, at the Edge.

To me, he said they are still working on it, but it could also be, that he, being commercially minded, was saying..
"We've done it, but AKD2000 doesn't exist yet, so it's still just in simulation".


In FactFinder's post, about the November 6th private shareholder meeting, he stated the following.

"It has been confirmed by the CEO Sean Hehir in person to myself and others that Brainchip has succeeded in developing and running a number of Large Language Models, LLMs, on AKIDA 2.0 and that AKIDA 3.0 is on track and that its primary purpose will be to focus on running LLM's as its point of technology difference".

Straight off the bat, FactFinder refers to LLMs, not the "very small" or "tiny" LMs, that Dr Tony, refers to having promise.
So either he misquoted Sean, or Sean referenced LLMs.

From the above meeting, it appears that, at the very least, very small LMs are successfully running, in simulation, on AKIDA 2.0 and this is now public knowledge?

My questions are..

Are VSLMs running successfully on AKIDA 2.0, or are they still ironing out the bugs and this will be more an AKIDA 3.0 focused, game?

If they are running successfully, this would be considered quite a huge achievement (being a World first and considering the current hunger, for such technology).
Why hasn't the Company made a proper statement/Tweet, or something, when the information is apparently public knowledge?

It seems to me, that it would be in the Company's best interest (as well as us shareholders of course) to at least "tap" the drum and not have to rely on Chinese whispers etc?"


Nothing to share yet, unless I want to get nasty..



No, I'm not a Janet Jackson fan 😛



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Hi @DingoBorat,

it is a shame your email appears not to have been responded to in a satisfying manner by our company. Hopefully someone at Brainchip will follow up soon, though, with the content of the article below surely sending shock waves through the neuromorphic hardware community right now!

The tech is way over my head, but it looks as if researchers at the Korea Advanced Institute of Science and Technology (KAIST) have found a way to run LLMs on edge devices after all and were also the first in the world to publicly demonstrate and announce their success.



Business

2024-03-06 16:31

KAIST develops human brain-like AI chip​

Yoo Hoi-jun, center, a KAIST professor, and Kim Sang-yeob, left, a member of Yoo's research team, demonstrate a neuromorphic AI semiconductor that uses computing technology mimicking the behavior of the human brain at the ICT ministry's headquarters in Sejong, Wednesday. Yonhap

Yoo Hoi-jun, center, a KAIST professor, and Kim Sang-yeob, left, a member of Yoo's research team, demonstrate a neuromorphic AI semiconductor that uses computing technology mimicking the behavior of the human brain at the ICT ministry's headquarters in Sejong, Wednesday. Yonhap


By Baek Byung-yeul

Researchers at the Korea Advanced Institute of Science and Technology (KAIST) have developed an AI semiconductor capable of processing large language model (LLM) data at ultra-high speeds while significantly reducing power consumption, according to the Ministry of Science and ICT.

The ICT ministry said Wednesday that a research team led by professor Yoo Hoi-jun at KAIST's processing-in-memory research center developed the world's first complementary-transformer AI chip using Samsung Electronics' 28-nanometer manufacturing process.


The complementary-transformer AI chip is a neuromorphic computing system that mimics the structure and function of the human brain. Utilizing a deep learning model commonly used in visual data processing, the research team successfully implemented this transformer function, gaining insights into how neurons process information.

This technology, which learns context and meaning by tracking relationships within data, such as words in a sentence, is a source technology for generative AI services like ChatGPT, the ministry said.

The research team demonstrated the functionality of the complementary-transformer AI chip at the ICT ministry's headquarters in Sejong on Wednesday.

Kim Sang-yeob, a member of the research team, conducted various tasks such as sentence summarization, translation and question-and-answer tasks using OpenAI's LLM, GPT-2, on a laptop equipped with a built-in complementary-transformer AI chip, all without requiring an internet connection. As a result, the performance was notably enhanced, with the tasks completed at least three times faster, and in some cases up to nine times faster, compared to running GPT-2 on an internet-connected laptop.

To implement LLMs typically utilized in generative AI tasks, a substantial number of graphic processing units (GPUs) and 250 watts of power are typically required. However, the KAIST research team managed to implement the language model using a compact AI chip measuring just 4.5 millimeters by 4.5 millimeters.

"Neuromorphic computing is a technology that even companies like IBM and Intel have not been able to implement, and we are proud to be the first in the world to run the LLM with a low-power neuromorphic accelerator," Yoo said.

He predicted this technology could emerge as a core component for on-device AI, facilitating AI functions to be executed within a device even without requiring an internet connection. Due to its capacity to process information within devices, on-device AI offers faster operating speed and lower power consumption compared to cloud-based AI services that rely on network connectivity.

"Recently, with the emergence of generative AI services like ChatGPT and the need for on-device AI, demand and performance requirements for AI chips are rapidly increasing. Our main goal is to develop innovative AI semiconductor solutions that meet these changing market needs. In particular, we aim to focus on research that identifies and provides solutions to additional problems that may arise during the commercialization process," Yoo added.

The research team said this semiconductor uses only 1/625 of the power and is only 1/41 the size of Nvidia's GPU for the same tasks.

Baek Byung-yeul
baekby@koreatimes.co.kr

 
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