BRN Discussion Ongoing
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Lex555
Regular
Curious to understand your view. Can you give me an example of who and why this would be happening.
Humble Genius
Regular
Does anyone know if the AGM will be live streamed? If so, can you post the link?
Thank you
Thank you
Fullmoonfever
Top 20
Don't forget that while Teksun are exhibiting with us at the Embedded Vision Summit, Edge Impulse, ARM and Renesas are also there ( love some snippet from them too while there) as well as Nandan dovetailing an actual presentation, looking like after the AGM time wise.
embeddedvisionsummit.com
Date: Tuesday, May 23
Start Time: 4:50 pm
End Time: 5:20 pm
The AIoT industry is expected to reach $1T by 2030—but that will happen only if edge devices rapidly become more intelligent. In this presentation, we’ll show how BrainChip’s Akida IP solution enables improved edge ML accuracy and on-device learning with extreme energy efficiency. Akida is a fully digital, neuromorphic, event-based AI engine that offers unique on-device learning abilities, minimizing the need for cloud retraining. We will demonstrate Akida’s compelling performance and extreme energy efficiency on complex models and explain how Akida executes spatial-temporal convolutions using innovative handling of 3D and 1D data. We’ll also show how Akida supports low-power implementation of vision transformers, and we’ll introduce the Akida developer ecosystem, which enables both AI experts and newcomers to quickly deploy disruptive edge AI applications that weren’t possible before.
Enabling Ultra-Low Power Edge Inference and On-Device Learning with Akida
The AIoT industry is expected to reach $1T by 2030—but that will happen only if edge devices rapidly become more intelligent. In this presentation, we’ll show how BrainChip’s Akida IP solution enables improved edge ML accuracy and on-device learning with […]
embeddedvisionsummit.com
Enabling Ultra-Low Power Edge Inference and On-Device Learning with Akida
Date: Tuesday, May 23
Start Time: 4:50 pm
End Time: 5:20 pm
The AIoT industry is expected to reach $1T by 2030—but that will happen only if edge devices rapidly become more intelligent. In this presentation, we’ll show how BrainChip’s Akida IP solution enables improved edge ML accuracy and on-device learning with extreme energy efficiency. Akida is a fully digital, neuromorphic, event-based AI engine that offers unique on-device learning abilities, minimizing the need for cloud retraining. We will demonstrate Akida’s compelling performance and extreme energy efficiency on complex models and explain how Akida executes spatial-temporal convolutions using innovative handling of 3D and 1D data. We’ll also show how Akida supports low-power implementation of vision transformers, and we’ll introduce the Akida developer ecosystem, which enables both AI experts and newcomers to quickly deploy disruptive edge AI applications that weren’t possible before.
buena suerte :-)
BOB Bank of Brainchip
Online Voting Procedures during the Meeting Shareholders who wish to participate in the Meeting online may do so:
a. From their computer, by entering the URL into their browser: https://web.lumiagm.com/364-701-410
b. From their mobile device by either entering the URL in their browser: https://web.lumiagm.com/364-701-410
Instructions on how to access and use the Lumi AGM technology are contained in Appendix C of this Notice.
If you choose to participate in the Meeting online, you can log in to the meeting by entering:
1. The meeting ID, which is – 364-701-410. 9
2. Your username, which is your Voting Access Code (VAC) which can be located on the first page of your proxy form or Notice of Meeting email; and
3. Your password, which is the postcode registered to your holding if you are an Australian Shareholder. Overseas Shareholders will need to enter the country of their registered address as it appears on a recent statement.
4. If you have been nominated as a third-party proxy, please contact Boardroom on 1300 737 760. Attending the meeting online enables Shareholders to view the Meeting live and to also ask questions and cast direct votes at the appropriate times whilst the Meeting is in progress.
Last edited:
alwaysgreen
Top 20
I think he's insinuating that someone is moving the share price up to instil some confidence into shareholders prior to the AGM so they are more likely to not ask too many questions of management and vote yes to everything the board has put forward.
It's a pretty serious allegation but this is the Wild Wild ASX so who knows!!
Probably best to let GetUpThere clarify.
equanimous
Norse clairvoyant shapeshifter goddess
What your suggesting is that BRN is manipulating the share price which is illegal
Can you prove this and do you know something that no one else knows here?
Sydney train network plagued by almost 40,000 defects – and delays ‘likely to worsen’
Scathing review finds the only time the network ran in line with its targets was during periods of lockdown or other Covid restrictions
Sounds like a job for Akida!!
Hi @chapman89 where about you guys catching up fpr Coffee. I am attedning AGM too my leave hasnt been approved but it will
Please give me 7 numbers and 1 number for Thursday powerball
Fullmoonfever
Top 20
Just another good article on the BRE link up.
circuitcellar.com
Written by Stephen Vicinanza
BRE will integrate BrainChip’s AkidaTM Neural Processors in high-performance applications. Blue Ridge Envisioneering (BRE) a space and defense engineering contractor is collaborating with BrainChip a Neuromorphic AI chip manufacturer on a variety of high-performance applications.
The new devices are going to be mainly in the tactical category of products. These devices are meant to address problems in power consumption and heat abatement in Deep Neural Networks (DNNs). DNNs often strain power systems and generate a great deal of heat, due to the use of power-hungry GPUs for compute processing.
Tactical devices such as these have been deployed where thermal requirements are high, and constrained. The devices must function in remote locations of delivering computing in limited power scenarios.
The Akida processors perform data processing that includes artificial intelligence (AI) and Machine Learning (ML), at the edge. They are power-conserving neuromorphic design is well suited to the military and intelligence settings where this is somewhat of a breakthrough in processing.
“The collaboration with BRE will show how Akida can excel where power and communications are in short supply,” said Rob Telson, BrainChip Vice President of Ecosystem and Partnerships. “This joint effort will expand the boundaries of what AI at the edge can do in both tactical and commercial applications.”
Almost all conventional Deep Neural Networks are developed to run on power-hungry GPUs that strain power systems and generate a significant amount of heat; when data must be processed in real-time on a remote device, the challenge for hardware developers is immense,” said Stefan Moritz, BRE. “BrainChip’s Akida will be useful for tactical devices that ingest sensor data and use AI/ML to improve decision-making.”
BrainChip provides neuromorphic AI processor IPs, which can be integrated into SoC on any process technology. This technology has been shown to benefit today’s workload and networks. The company’s first, fully digital, event-based AI processor AkidaTM uses neuromorphic principles to mimic the human brain, analyzing only the essential sensor inputs at the point of acquisition.
The collaboration with BRE, which is a private company, that provides tactical devices for the space industry and military devices, is building heat-conscious, power-conserving, SoCs to be deployed in devices used in defense systems.
The simplest definition is this groundbreaking technology will be deployed in harsh, resource-restricted environments where power access is limited.
BrainChip | brainchip.com
BRE will Integrate BrainChip's AkidaTM Neural Processors in High Performance Applications - Circuit Cellar
BRE will integrate BrainChip's AkidaTM Neural Processors in high-performance applications and tactical defense systems
circuitcellar.com
BRE will Integrate BrainChip’s AkidaTM Neural Processors in High Performance Applications
7 days ago
Written by Stephen Vicinanza
BRE will integrate BrainChip’s AkidaTM Neural Processors in high-performance applications. Blue Ridge Envisioneering (BRE) a space and defense engineering contractor is collaborating with BrainChip a Neuromorphic AI chip manufacturer on a variety of high-performance applications.
The new devices are going to be mainly in the tactical category of products. These devices are meant to address problems in power consumption and heat abatement in Deep Neural Networks (DNNs). DNNs often strain power systems and generate a great deal of heat, due to the use of power-hungry GPUs for compute processing.
Tactical devices such as these have been deployed where thermal requirements are high, and constrained. The devices must function in remote locations of delivering computing in limited power scenarios.
The Akida processors perform data processing that includes artificial intelligence (AI) and Machine Learning (ML), at the edge. They are power-conserving neuromorphic design is well suited to the military and intelligence settings where this is somewhat of a breakthrough in processing.
“The collaboration with BRE will show how Akida can excel where power and communications are in short supply,” said Rob Telson, BrainChip Vice President of Ecosystem and Partnerships. “This joint effort will expand the boundaries of what AI at the edge can do in both tactical and commercial applications.”
Almost all conventional Deep Neural Networks are developed to run on power-hungry GPUs that strain power systems and generate a significant amount of heat; when data must be processed in real-time on a remote device, the challenge for hardware developers is immense,” said Stefan Moritz, BRE. “BrainChip’s Akida will be useful for tactical devices that ingest sensor data and use AI/ML to improve decision-making.”
BrainChip provides neuromorphic AI processor IPs, which can be integrated into SoC on any process technology. This technology has been shown to benefit today’s workload and networks. The company’s first, fully digital, event-based AI processor AkidaTM uses neuromorphic principles to mimic the human brain, analyzing only the essential sensor inputs at the point of acquisition.
The collaboration with BRE, which is a private company, that provides tactical devices for the space industry and military devices, is building heat-conscious, power-conserving, SoCs to be deployed in devices used in defense systems.
The simplest definition is this groundbreaking technology will be deployed in harsh, resource-restricted environments where power access is limited.
BrainChip | brainchip.com
Falling Knife
Regular
Some recently release publicity
We Think BrainChip Holdings (ASX:BRN) Can Afford To Drive Business Growth
BRCHF: AI is suddenly everywhere – what are the implications for BrainChip?
This tech sumit is being advertised by so many different sources, must be a big deal
BrainChip Showcases Edge AI Technologies at 2023 Embedded Vision Summit
BrainChip and Teksun Demonstrate Rapid Adoption of AI Solutions at Embedded Vision Summit
We Think BrainChip Holdings (ASX:BRN) Can Afford To Drive Business Growth
BRCHF: AI is suddenly everywhere – what are the implications for BrainChip?
This tech sumit is being advertised by so many different sources, must be a big deal
BrainChip Showcases Edge AI Technologies at 2023 Embedded Vision Summit
BrainChip and Teksun Demonstrate Rapid Adoption of AI Solutions at Embedded Vision Summit
MadMayHam | 合氣道
Regular
I thought the BRN + Nanose / Technion collab was dead... but new patent granted May 18th to Technion. It looks like false positives were the main hindrance (putting accuracy at about the same level as the lower band of WHO-acceptable accuracies as the ubiquitous Rapid Antigen Tests), hopefully they've got that sorted by now (although Covid 19 is so yesterday).
Within patent;
Strangely though, claims 1-48 have been cancelled. @Diogenese what does that mean and could it also explain the long time (>2 years) from application to publishing?
Within patent;
Strangely though, claims 1-48 have been cancelled. @Diogenese what does that mean and could it also explain the long time (>2 years) from application to publishing?
Last edited:
MadMayHam | 合氣道
Regular
That's a bit of a stretch, it's observed behaviour. I have also observed this price trend to have happened.
Last edited:
FlipDollar
Never dog the boys
Another one here too from April (apologies if already posted)Just another good article on the BRE link up.
BRE will Integrate BrainChip's AkidaTM Neural Processors in High Performance Applications - Circuit Cellar
BRE will integrate BrainChip's AkidaTM Neural Processors in high-performance applications and tactical defense systems
BRE will Integrate BrainChip’s AkidaTM Neural Processors in High Performance Applications
7 days ago
Written by Stephen Vicinanza
BRE will integrate BrainChip’s AkidaTM Neural Processors in high-performance applications. Blue Ridge Envisioneering (BRE) a space and defense engineering contractor is collaborating with BrainChip a Neuromorphic AI chip manufacturer on a variety of high-performance applications.
The new devices are going to be mainly in the tactical category of products. These devices are meant to address problems in power consumption and heat abatement in Deep Neural Networks (DNNs). DNNs often strain power systems and generate a great deal of heat, due to the use of power-hungry GPUs for compute processing.
Tactical devices such as these have been deployed where thermal requirements are high, and constrained. The devices must function in remote locations of delivering computing in limited power scenarios.
The Akida processors perform data processing that includes artificial intelligence (AI) and Machine Learning (ML), at the edge. They are power-conserving neuromorphic design is well suited to the military and intelligence settings where this is somewhat of a breakthrough in processing.
“The collaboration with BRE will show how Akida can excel where power and communications are in short supply,” said Rob Telson, BrainChip Vice President of Ecosystem and Partnerships. “This joint effort will expand the boundaries of what AI at the edge can do in both tactical and commercial applications.”
Almost all conventional Deep Neural Networks are developed to run on power-hungry GPUs that strain power systems and generate a significant amount of heat; when data must be processed in real-time on a remote device, the challenge for hardware developers is immense,” said Stefan Moritz, BRE. “BrainChip’s Akida will be useful for tactical devices that ingest sensor data and use AI/ML to improve decision-making.”
BrainChip provides neuromorphic AI processor IPs, which can be integrated into SoC on any process technology. This technology has been shown to benefit today’s workload and networks. The company’s first, fully digital, event-based AI processor AkidaTM uses neuromorphic principles to mimic the human brain, analyzing only the essential sensor inputs at the point of acquisition.
The collaboration with BRE, which is a private company, that provides tactical devices for the space industry and military devices, is building heat-conscious, power-conserving, SoCs to be deployed in devices used in defense systems.
The simplest definition is this groundbreaking technology will be deployed in harsh, resource-restricted environments where power access is limited.
BrainChip | brainchip.com
Fullmoonfever
Top 20
Good recent little post by this gentleman with reference to BRN.
www.linkedin.com
Reston, Virginia, United States
Cliff Berg
+ Follow
What really is “digital transformation”?
It’s when you have automated everything that can be automated, so that everything is controlled by digital software.
In a digital environment, robots do all the moving of parts. Machines make product parts, controlled by digital designs. The designs are created by engineers using computers.
The entire process is orchestrated by digitally-defined programs. There are few human handoffs.
Information flows in and out of the organization digitally. Suppliers connect to a logistics system that is up to date on your needs, based on data that is automatically provided by your manufacturing systems.
There is little manual entry of data.
All that is the foundation for the next big shift.
The content that drives the factory. The content that drives your digital marketing.
The content that updates your cloud based offerings.
All your digital artifacts. The things that, today, are created by people.
People will still be in the loop, but they will be directing, not creating.
At least for now. When people are no longer in the loop, we can all go home. (Oh wait – we are already working from home!)
There has been a lot of conflicting reporting about the latest large language model AI systems. Can they be trusted? Are they ready for prime time?
What we need is a rigorous study to find out. And Microsoft has done that. They report that,
Recently Erik Brynjolfsson, a leading, technology-focused economist based at Stanford University, together with MIT economists Danielle Li and Lindsey R. Raymond, released an empirical study of the real-world economic effects of new AI systems. They looked at what happened to a company and its workers after it incorporated a version of ChatGPT into their workflows.
What happened is that the junior people became much more productive. For them, it was like having an experienced assistant next to them.
These AI systems are not computers. They are not digital programs. This is not just more sophisticated software. It was not the software industry that created AI.
Yes, today most AI runs as software, but that is a peculiarity. It is a workaround. It is temporary – an interim step. We use computers to run AI because computers are the tools we have, but doing that is massively inefficient. It is kind of like using horses to simulate a car.
Today’s AI consists of neural networks. A neural network is a connected system of “neurons”. These are idealized: they receive signals from adjacent neurons, and compute a function that determines if they will “fire” to signal other connected neurons.
They are not digital. We use computers to simulate them. But the actual neural networks that we are simulating are not digital. What we need is real neuronal devices that we can connect together to create real neural networks.
Guess what? We have that: they are called neuromorphic chips. IBM has been a pioneer in that, but there has been immense progress recently, creating chips that can adjust their basic architecture. That way, they can be repurposed for different kinds of neural networks.
In the not-too-distant future, neuromorphic systems will overtake digitally simulated neural networks. Why? Because they are much faster, and use thousands of times less power – and that’s important for self-driving cars, mobile devices, robots, and every kind of real world use of AI that is not situated in a data center.
The Akida Brain Chip – Part of the Next Generation of Neuromorphic Chips
There are even companies using real neurons – biological ones – to create neural networks. Cortical Labs is one. And an intriguing question is, if such a system tells you that it is sentient, can you confidently say no? After all, it is actually alive, just like we are.
Researcher at Cortical Labs, examining the electrode connections to real neurons in a living neural network
So the future is not about digital transformation. That was yesterday.
Digital is needed as a baseline for the AI to be able to do things, so that the AI can reach out and control things. But digital is now the assumption. It is too late to do a digital transformation. People are now doing AI transformation. If you are still stuck in a digital transformation, you are too late.
Digital Transformation Is So Yesterday
What really is “digital transformation”? It’s when you have automated everything that can be automated, so that everything is controlled by digital software. In a digital environment, robots do all the moving of parts.
Cliff Berg
Co-Founder and Managing Partner, Agile 2 Academy; Executive level Agile and DevOps advisor and consultant; Author of Agile 2: The Next Iteration of Agile
Agile 2 Academy
Reston, Virginia, United States
10K followers 500+ connections
Digital Transformation Is So Yesterday
Cliff Berg
Cliff Berg
Co-Founder and Managing Partner, Agile 2 Academy;…
Published May 11, 2023+ Follow
What really is “digital transformation”?
It’s when you have automated everything that can be automated, so that everything is controlled by digital software.
In a digital environment, robots do all the moving of parts. Machines make product parts, controlled by digital designs. The designs are created by engineers using computers.
The entire process is orchestrated by digitally-defined programs. There are few human handoffs.
Information flows in and out of the organization digitally. Suppliers connect to a logistics system that is up to date on your needs, based on data that is automatically provided by your manufacturing systems.
There is little manual entry of data.
All that is the foundation for the next big shift.
What Comes After Digital Transformation
The next big shift is in the creation of the digital content.The content that drives the factory. The content that drives your digital marketing.
The content that updates your cloud based offerings.
All your digital artifacts. The things that, today, are created by people.
People will still be in the loop, but they will be directing, not creating.
At least for now. When people are no longer in the loop, we can all go home. (Oh wait – we are already working from home!)
There has been a lot of conflicting reporting about the latest large language model AI systems. Can they be trusted? Are they ready for prime time?
What we need is a rigorous study to find out. And Microsoft has done that. They report that,
Recently Erik Brynjolfsson, a leading, technology-focused economist based at Stanford University, together with MIT economists Danielle Li and Lindsey R. Raymond, released an empirical study of the real-world economic effects of new AI systems. They looked at what happened to a company and its workers after it incorporated a version of ChatGPT into their workflows.
What happened is that the junior people became much more productive. For them, it was like having an experienced assistant next to them.
It’s Not Digital
This might seem like an inevitable extension of computing: first computers automated routine things, and now they are actually smart in some ways and can do some of the more creative things. But it’s not like that.These AI systems are not computers. They are not digital programs. This is not just more sophisticated software. It was not the software industry that created AI.
Yes, today most AI runs as software, but that is a peculiarity. It is a workaround. It is temporary – an interim step. We use computers to run AI because computers are the tools we have, but doing that is massively inefficient. It is kind of like using horses to simulate a car.
Today’s AI consists of neural networks. A neural network is a connected system of “neurons”. These are idealized: they receive signals from adjacent neurons, and compute a function that determines if they will “fire” to signal other connected neurons.
They are not digital. We use computers to simulate them. But the actual neural networks that we are simulating are not digital. What we need is real neuronal devices that we can connect together to create real neural networks.
Guess what? We have that: they are called neuromorphic chips. IBM has been a pioneer in that, but there has been immense progress recently, creating chips that can adjust their basic architecture. That way, they can be repurposed for different kinds of neural networks.
In the not-too-distant future, neuromorphic systems will overtake digitally simulated neural networks. Why? Because they are much faster, and use thousands of times less power – and that’s important for self-driving cars, mobile devices, robots, and every kind of real world use of AI that is not situated in a data center.
There are even companies using real neurons – biological ones – to create neural networks. Cortical Labs is one. And an intriguing question is, if such a system tells you that it is sentient, can you confidently say no? After all, it is actually alive, just like we are.
So the future is not about digital transformation. That was yesterday.
Digital is needed as a baseline for the AI to be able to do things, so that the AI can reach out and control things. But digital is now the assumption. It is too late to do a digital transformation. People are now doing AI transformation. If you are still stuck in a digital transformation, you are too late.
Tothemoon24
Top 20
VVDN going places fast
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