BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
DingoBorat
Slim
Extreme Fear, is still driving the markets (actually the lowest reading I've "noticed" these past couple of days).
Looks like US markets will take another hit and Left leaning media are stoking the fire, as it makes Trump look bad and they Love that.
I think our share price is holding up pretty well, while down.
We may see the US markets start to get better towards the mid or end of their session, while there is Fear though, the markets are simply not rational.
Do people want the US, or China to be the Strongest Economy and calling the shots in the World?
China, would Love to be the World's "cop" (free Mandarin lessons included) and that's the direction things were headed.
We as a Company, have a very strong relationship with the US and recent military developmental progress, has shown this.
The US, although virtually saying they are 'taking a break" from being everybody's big Brother (not in the "1984" sense) in fact need to build themselves up again, in order to do that.
We will be part of that.
Just my thoughts.
Good Fortune to All
TheDrooben
Pretty Pretty Pretty Pretty Good
Gee a lot of stockbrokers much watch the left leaning media DB.......they are the ones who are selling........wonder why they are selling??? Can't be your mate Donald's fault could it?? FFS give it a rest mate. I will stop from replying to your cult-like Trumpism on this main thread if you agree to do the same. I am sure everyone else will be happy if we do it privately like we have been over the last day or two....as per your initial private message to me.View attachment 81666
Extreme Fear, is still driving the markets (actually the lowest reading I've "noticed" these past couple of days).
Looks like US markets will take another hit and Left leaning media are stoking the fire, as it makes Trump look bad and they Love that.
I think our share price is holding up pretty well, while down.
We may see the US markets start to get better towards the mid or end of their session, while there is Fear though, the markets are simply not rational.
Do people want the US, or China to be the Strongest Economy and calling the shots in the World?
China, would Love to be the World's "cop" (free Mandarin lessons included) and that's the direction things were headed.
We as a Company, have a very strong relationship with the US and recent military developmental progress, has shown this.
The US, although virtually saying they are 'taking a break" from being everybody's big Brother (not in the "1984" sense) in fact need to build themselves up again, in order to do that.
Just my thoughts.
Good Fortune to All
Happy as Larry
DingoBorat
Slim
Easy done Larry, I thought it was relevant as it's what's driving the markets
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Fullmoonfever
Top 20
Always nice to see the formal award of the contract 
Prime Award ID
FA875025CB013
Recipient Name
BRAINCHIP, INC
Obligations
$1,799,348.00
Outlays
--
Award Description
LOW C-SWAP NEUROMORPHIC RADAR CLASSIFICATION, LEVERAGING LEARNING ALGORITHMS AND MAPPING W... Read More
Award Type
DEFINITIVE CONTRACT
Disaster Emergency Fund Codes (DEFCs)
--
COVID-19 Obligations
--
COVID-19 Outlays
--
Infrastructure Obligations
--
Infrastructure Outlays
--
Awarding Agency
Department of Defense
Awarding Subagency
Department of the Air Force
Period of Performance Start
2024-12-09
Period of Performance End
2026-02-08
| Prime Award ID FA875025CB013 | Recipient Name BRAINCHIP, INC | Obligations $1,799,348.00 | Outlays -- | Award Description LOW C-SWAP NEUROMORPHIC RADAR CLASSIFICATION, LEVERAGING LEARNING ALGORITHMS AND MAPPING W... Read More | Award Type DEFINITIVE CONTRACT | Disaster Emergency Fund Codes (DEFCs) -- | COVID-19 Obligations -- | COVID-19 Outlays -- | Infrastructure Obligations -- | Infrastructure Outlays -- | Awarding Agency Department of Defense | Awarding Subagency Department of the Air Force | Period of Performance Start 2024-12-09 | Period of Performance End 2026-02-08 |
Prime Award ID
FA875025CB013
Recipient Name
BRAINCHIP, INC
Obligations
$1,799,348.00
Outlays
--
Award Description
LOW C-SWAP NEUROMORPHIC RADAR CLASSIFICATION, LEVERAGING LEARNING ALGORITHMS AND MAPPING W... Read More
Award Type
DEFINITIVE CONTRACT
Disaster Emergency Fund Codes (DEFCs)
--
COVID-19 Obligations
--
COVID-19 Outlays
--
Infrastructure Obligations
--
Infrastructure Outlays
--
Awarding Agency
Department of Defense
Awarding Subagency
Department of the Air Force
Period of Performance Start
2024-12-09
Period of Performance End
2026-02-08
Tothemoon24
Top 20
Multimodal AI and Neuromorphic AI: Detection, Diagnosis, Prognosis - Tata Elxsi
Discover how Multimodal and Neuromorphic AI lead healthcare from reactive to proactive. This article delves into Responsible AI and its transformative impact.
ai.tataelxsi.com
Frangipani
Top 20
That’s right, the gesture demo used a PROPHESEE EVK4:
BrainChip Demonstrates Event-based Vision at Embedded World 2025
BrainChip Demonstrates Event-based Vision at Embedded World 2025 Laguna Hills, Calif. – March 10, 2025 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, brain-inspired AI, today announced that it...
brainchip.com
The 'World's Most Advanced Microchip' Has Been Unveiled
On April 1, 2025, the Taiwanese manufacturer TSMC introduced the world's most advanced microchip: the 2 nanometre (2nm) chip.
Mass production is expected for the second half of the year, and TSMC promises it will represent a major step forward in performance and efficiency – potentially reshaping the technological landscape.
Microchips are the foundation of modern technology, found in nearly all electronic devices, from electric toothbrushes and smartphones to laptops and household appliances. They are made by layering and etching materials like silicon to create microscopic circuits containing billions of transistors.
These transistors are effectively tiny switches, managing the flow of electricity and allowing computers to work. In general, the more transistors a chip contains, the faster and more powerful it becomes.
The microchip industry consistently endeavours to pack more transistors into a smaller area, leading to faster, more powerful, and energy efficient technological devices.
Compared to the previous most advanced chip, known as 3nm chips, TSMC's 2nm technology should deliver notable benefits. These include a 10%-15% boost in computing speed at the same power level or a 20-30% reduction in power usage at the same speed.
Additionally, transistor density in 2nm chips is increased by about 15%, over and above the 3nm technology. This should enable devices to operate faster, consume less energy, and manage more complex tasks efficiently.
Taiwan's microchip industry is closely tied into its security. It is sometimes referred to as the "silicon shield", because its widespread economic importance incentivises the US and allies to defend Taiwan against the possibility of Chinese invasion.
TSMC recently struck a US$100 billion deal (£76 billion) to build five new US factories. However, there is uncertainty over whether the 2nm chips can be manufactured outside Taiwan, as some officials are concerned that could undermine the island's security.
Established in 1987, TSMC, which stands for Taiwan Semiconductor Manufacturing Company, manufactures chips for other companies. Taiwan accounts for 60% of the global "foundry" market (the outsourcing of semiconductor manufacturing) and the vast majority of that comes from TSMC alone.
TSMC's super-advanced microchips are used by other companies in a wide range of devices. It manufactures Apple's A-series processors used in iPhones, iPads, and Macs, it produces NVidia's graphics processing units (GPUs) used for machine learning and AI applications.
It also makes AMD's Ryzen and EPYC processors used by supercomputers worldwide, and it produces Qualcomm's Snapdragon processors, used by Samsung, Xiaomi, OnePlus, and Google phones.
In 2020, TSMC started a special microchip miniaturisation process, called 5nm FinFET technology, that played a crucial role in smartphone and high-performance computing (HPC) development. HPC is the practice of getting multiple processors to work simultaneously on complex computing problems.
Two years later, TSMC launched a 3nm miniaturisation process based on even smaller microchips. This further enhanced performance and power efficiency. Apple's A-series processor, for example, is based on this technology.
Smartphones, laptops and tablets with 2nm chips could benefit from better performance and longer battery life. This will lead to smaller, lighter devices without sacrificing power.
The efficiency and speed of 2nm chips has the potential to enhance AI-based applications such as voice assistants, real time language translation, and autonomous computer systems (those designed to work with minimal to no human input).
Data centres could experience reduced energy consumption and improved processing capabilities, contributing to environmental sustainability goals.
Sectors like autonomous vehicles and robotics could benefit from the increased processing speed and reliability of the new chips, making these technologies safer and more practical for widespread adoption.
This all sounds really promising, but while 2nm chips represent a technological milestone, they also pose challenges. The first one is related to the manufacturing complexity.
Producing 2nm chips requires cutting-edge techniques like extreme ultraviolet (EUV) lithography. This complex and expensive process increases production costs and demands extremely high precision.
Another big issue is heat. Even with relatively lower consumption, as transistors shrink and densities increase, managing heat dissipation becomes a critical challenge.
Overheating can impact chip performance and durability. In addition, at such a small scale, traditional materials like silicon may reach their performance limits, requiring the exploration of different materials.
That said, the enhanced computational power, energy efficiency, and miniaturisation enabled by these chips could be a gateway to a new era of consumer and industrial computing.
Smaller chips could lead to breakthroughs in tomorrow's technology, creating devices that are not only powerful but also discreet and more environmentally friendly.
Domenico Vicinanza, Associate Professor of Intelligent Systems and Data Science, Anglia Ruskin University
This article is republished from The Conversation under a Creative Commons license. Read the original article.
The 'World's Most Advanced Microchip' Has Been Unveiled
On April 1, 2025, the Taiwanese manufacturer TSMC introduced the world's most advanced microchip: the 2 nanometre (2nm) chip.
www.sciencealert.com
rgupta
Regular
2.34 was the past and .175 is the present. Even 2.34 was a plan of shorters to pump and dump. Regarding market yes market wants to see revenue and no talks. On top we are on continuous sale for almost 2 years, why the market should pay us if we cannot improve ourselves?I'd like to say we are......
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Even Alf finds this post inciteful
On another note, I wonder if MB post again and say they "... in collaboration..." with BRN to integrate AKIDA into future gen cars, would our SP spike back up to $2.34, or something similar?
I guess, I'm pissed off like others here, just trying to understand why the dozen or so other announcements since the MB "media release" haven't done anything other than drop the SP. I also wonder if the tactic is to get the SP as low as possible prior to the redomicile so that US investors can buy in big and cheaply?
Dyor
Smoothsailing
Regular
Go brainchip
Frangipani
Top 20
I’m happy to share that I’m starting a new position as Furber Chair of… | André van Schaik | 64 comments
I’m happy to share that I’m starting a new position as Furber Chair of Neuromorphic Systems Engineering at The University of Manchester! | 64 comments on LinkedIn
#icns | André van Schaik | 42 comments
My first day at school! At my new home at the University of Manchester to set up another International Centre for Neuromorphic Systems #ICNS. I’m very excited to be given this opportunity. So many possibilities and so much interest in applied neuromorphic systems. | 42 comments on LinkedIn
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Bravo
If ARM was an arm, BRN would be its biceps💪!
Fraunhofer IIS Walks the Line for Edge AI
April 2, 2025 Pat BransThe institute’s development projects strike a balance between hardware and software to optimize AI model performance on small processors.
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Before edge AI can deliver a full range of new applications, there is work to be done to improve the way models operate in a constrained environment—without sacrificing accuracy. As an applied research institute in the field of integrated circuits, Fraunhofer IIS develops small-form–factor AI processors and optimized AI software to address the challenges posed by the edge environment.
“When it comes to hardware, two research paths are given the highest priority,” said Nicolas Witt, machine intelligence department lead and leader of the edge AI special interest group at Fraunhofer IIS.
Fraunhofer IIS’s Nicolas WittOne is an analog deep neural network accelerator that uses in-memory computing based on analog signals from electric current. “We have our Adelia accelerator, which accelerates neural networks and does the processing in a very low-energy manner,” Witt said. “We need up to 1,000× less energy than what’s required by microcontrollers, because Adelia only uses power when it really computes.”
The other path is around spiking neural networks, which are inspired by what we know about the human brain.“We have accelerators for these types of neural networks too,” Witt said. “Having specialized hardware for that enables us to get to even smaller form factors and devices [with] less energy consumption.”
Fraunhofer’s Adelia accelerator (Source: Adobe Stock/Fraunhofer IIS)Hardware-aware deep compression of AI models
In addition to its work on hardware, Fraunhofer IIS develops software tools to optimize AI models for use in constrained edge devices without losing too much accuracy. The small devices have constrained computational and memory resources, and power consumption must be minimized. But thermal factors are also a big concern, because heat cannot be dissipated easily on densely packed hardware.“If you generate a lot of heat through processing, you hit a heat wall, which becomes a major problem,” Witt said. “We’re researching ways of scaling down processing at the edge, especially for sensor applications.”
Fraunhofer researchers use multi-objective optimization to address several metrics at once, working to maximize AI performance (for example, speed and accuracy) while minimizing the number of operations and the amount of memory needed to carry out AI functions. “After the multi-objective optimization, you get AI models that are small but also capable when it comes to processing data,” Witt said.
“One technique we use to reduce the size of a model is deep compression,” he said. “Deep compression denotes pruning, getting rid of redundant compute paths in a neural network. That makes the whole model smaller.
“Another technique is quantization, restricting the resolution of all the numbers. Typically, quantization is done down to 16- or 8-bit [resolution], but it can get down even lower than that. There are networks that can be processed with 1-bit resolution. You have to do some computation tricks, but it’s possible.”
Losses are generally low with quantization because it involves only a change in resolution, Witt said, but pruning a model often results in non-negligible loss of functionality. Fraunhofer and other institutes are conducting research on the redundancies in the neural networks and what gets lost when they’re removed. The work in this area is similar to research in explainable AI, which tries to map network structures to specific behaviors. Witt identified “the fundamental question” here as, “What is the minimal AI model that delivers the functionality and accuracy my application needs?” Finding out is an active field of research.
While these deeper questions remain unanswered, Fraunhofer IIS experts still use pruning to build prototypes, mitigating the potential loss of functionality on a case-by-case basis. “We usually start with an oversized network and apply deep compression to get it on smaller hardware,” Witt said. “And then you have to test quite carefully to find out which functionality is lost. Of course, the test functions have to be specific to the application.”
Fraunhofer IIS casts a large net in its AI research and applies its know-how to a range of projects with industrial partners. One application area is audio compression, transmission, and processing on wireless headsets. Another involves processing 5G data on small devices to determine position. Fraunhofer also worked on a demo involving cameras that can scan a crowd and count the people directly on the camera itself, without sending images to another device for further processing. And in the retail sector, the institute has worked on seamless shopping, which would enable shoppers to pay for their purchases without having to wait in a register line. Rather, a camera system would detect all of the items in a customer’s trolley, calculate the total, and complete the payment transaction wirelessly.
Perhaps the most unusual project Fraunhofer IIS has worked on involves the deployment of swarms of edge devices to monitor and detect disease in wildlife populations. Cameras are mounted on vultures, which congregate around the carcasses of other animals to feed. The cameras record video that is processed locally by AI agents, and then swarm processing is used to complete the vision tasks that would ordinarily require bigger neural networks.
Swarms of edge devices can be deployed to monitor wildlife populations. (Source: Fraunhofer IIS)While models built for edge AI are more efficient than the big AI models, Witt said work must be done to better understand how humans and other living creatures learn, because those biological learning processes are far more energy-efficient than today’s machine-learning tools. “Our brains process information with far less energy than we currently do with AI,” he said. “It’s very important to invest in research to get AI functions to use much less energy.”
Further refining the interplay between hardware and software
According to Witt, one caveat for current edge AI projects is that developers must make decisions about the hardware on which the models will run before the models can be built. Research is needed to help developers match the intended AI functionality with the appropriate hardware more efficiently. Another line of research is around automating the development process, so that once the hardware is decided, most of the steps needed to make a model work for that platform can be performed with little or no human intervention.Another hurdle is education. Data scientists and AI developers are highly trained to optimize the accuracy of AI models. Hardware and firmware developers are equally skilled at optimizing memory use and energy consumption. The challenge, Witt said, is “to find people knowledgeable in both areas, or even to get these two types of people to work together on edge AI.”
DingoBorat
Slim
I'm not sure whether to laugh or cry on seeing this..
I think it's relevant as we "want" to be involved with EVs and no "disturbing" mentions in it, so keeping my promise Larry
I did watch a 2019 short documentary called "Planet of the Humans" by Jeff Gibbs (Michael Moore was producer) which I recommend (it is filmed in a way of shock value and some outdated data, but the "message" is valid).
So I'm not "really" surprised...
TheDrooben
Pretty Pretty Pretty Pretty Good
I'm not sure whether to laugh or cry on seeing this..
I think it's relevant as we "want" to be involved with EVs and no "disturbing" mentions in it, so keeping my promise Larry
I did watch a 2019 short documentary called "Planet of the Humans" by Jeff Gibbs (Michael Moore was producer) which I recommend (it is filmed in a way of shock value and some outdated data, but the "message" is valid).
So I'm not "really" surprised...
View attachment 81720
Sure that is disturbing DB and it should be incumbent on the Indonesian govt to step in to protect it's citizens. On the overall environmental impact of EV's versus ICE's then you should take the whole production and operational effects to have a complete picture IMO...
Are electric vehicles definitely better for the climate than gas-powered cars?
Yes: although electric cars' batteries make them more carbon-intensive to manufacture than gas cars, they more than make up for it by driving much cleaner under nearly any conditions.
Happy as Larry
That is right. The paper written on 'roadscene'testing using the AVK4 showed AKIDA clearly the best.That’s right, the gesture demo used a PROPHESEE EVK4:
View attachment 81701
BrainChip Demonstrates Event-based Vision at Embedded World 2025
BrainChip Demonstrates Event-based Vision at Embedded World 2025 Laguna Hills, Calif. – March 10, 2025 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, brain-inspired AI, today announced that it...
DingoBorat
Slim
"Yes: although electric cars' batteries make them more carbon-intensive to manufacture than gas cars, they more than make up for it by driving much cleaner under nearly any conditions"Sure that is disturbing DB and it should be incumbent on the Indonesian govt to step in to protect it's citizens. On the overall environmental impact of EV's versus ICE's then you should take the whole production and operational effects to have a complete picture IMO...
Are electric vehicles definitely better for the climate than gas-powered cars?
Yes: although electric cars' batteries make them more carbon-intensive to manufacture than gas cars, they more than make up for it by driving much cleaner under nearly any conditions.climate.mit.edu
Happy as Larry
I'm calling Bullshit on that statement from that article
..It's not taking into consideration, things like increased tire wear and braking dust, because the things are so damn heavy, or the fact that EVs are designed to last just a handful of years..
Then there's things like recycling the batteries, I could go on and on..
Once they are in just a minor bingle, they are a complete write off apparently too, due to risk of damage to the battery.
Articles like that, are just selling the "Green Dream".
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