BRN Discussion Ongoing
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Quercuskid
Regular
Yay!!!! Mentioned on the ABC news as basically the only stock up
Just sent a letter to the FR editor re this article where Loftus Peak boasts of having selected Nvidia, AMD, MS, Alphabet and Amazon, while claiming they invest in disruptive technology:
https://www.afr.com/chanticleer/ai-...e-return-26pc-in-three-months-20230519-p5d9s0
...
The second is avoiding AI lipstick on pigs – companies that attempt to attach themselves to the AI thematic but don’t have the business model, technology or capabilities to back up their claims. Pollak says Loftus Peak has avoided local AI hopefuls including Appen and BrainChip on these grounds.
...
“We invest in disruptive companies, but the rules of finance have not yet been disrupted.”
BrainChip’s Akida is a revolutionary hardware digital spiking neural network which is faster and orders of magnitude more power efficient than software NNs.
Akida is undergoing testing in organizations such as NASA, USAF, Valeo and many other technology companies. Mercedes uses it in its EQXX, where it has proven to be 5 to 10 times better than alternatives in its “Hey Mercedes” application. Renesas and MegaChips have taken licences to produce processors including Akida, and chips are expected this year.
BrainChip has been under heavy attention from shorters and your article may have the effect of encouraging such activity.
It would better serve the investing public if your article were better researched, particularly as BrainChip is listed on the ASX (BRN).
https://www.afr.com/chanticleer/ai-...e-return-26pc-in-three-months-20230519-p5d9s0
...
The second is avoiding AI lipstick on pigs – companies that attempt to attach themselves to the AI thematic but don’t have the business model, technology or capabilities to back up their claims. Pollak says Loftus Peak has avoided local AI hopefuls including Appen and BrainChip on these grounds.
...
“We invest in disruptive companies, but the rules of finance have not yet been disrupted.”
Chanticleer article on Loftus Peak 19 May 2023
The article speaks of BrainChip in disparaging terms, implying that the company lacks the technology and capabilities to back up their AI credentials.BrainChip’s Akida is a revolutionary hardware digital spiking neural network which is faster and orders of magnitude more power efficient than software NNs.
Akida is undergoing testing in organizations such as NASA, USAF, Valeo and many other technology companies. Mercedes uses it in its EQXX, where it has proven to be 5 to 10 times better than alternatives in its “Hey Mercedes” application. Renesas and MegaChips have taken licences to produce processors including Akida, and chips are expected this year.
BrainChip has been under heavy attention from shorters and your article may have the effect of encouraging such activity.
It would better serve the investing public if your article were better researched, particularly as BrainChip is listed on the ASX (BRN).
Boab
I wish I could paint like Vincent
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 - 2023 Summit
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.
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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?
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?
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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.
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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
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