BRN Discussion Ongoing

[Damo4]

 

[Xray1]

Akida can be used wherever sensor output classification is required.

The principles underlying Akida can be used all the way up to the cloud.

BRN chose the edge because that was where there was the least competition and the largest potential market. The closer you get to the cloud, the smaller the potential market in terms of the number of chips.

So, yes, Dell edge servers are a candidate.

Late edition: In fact, with the problem of climate change, there should be a legislative requirement for Akida all the way through to the cloud.

Like what you posted. Especially the part about:

"Late edition: In fact, with the problem of climate change, there should be a legislative requirement for Akida all the way through to the cloud."

I personally think that BRN should also seriously consider engaging the services of a Co that can provide advise & deal in "Carbon Credits" as potentially another source of revenue for the Co, given the overall low power requirements of our technology.

 

[Sirod69]

also on LinkedIn

BrainChipBrainChip


BrainChip will participate in the Global Leadership Summit. This invitation-only exclusive event brings together the leading global C-level and senior executives from the semiconductor and high technology industry. https://lnkd.in/gZmDrf2u

 

[Deleted member 118]

There must be more videos from the event as I can’t find any apart from this

 

[Xray1]

also on LinkedIn

BrainChipBrainChip

BrainChip will participate in the Global Leadership Summit. This invitation-only exclusive event brings together the leading global C-level and senior executives from the semiconductor and high technology industry. https://lnkd.in/gZmDrf2u

IMO ........... Great to see some other Big named Co's attending and should also be a good opportunity for a bit of Co networking with the other attendee's.

 

[Tothemoon24]

LANL Researchers Design New Artificial Synapses for Neuromorphic Computing​

June 2, 2023

June 2, 2023 — The human brain has been called the most complicated object in the universe. Trying to replicate that still-unmatched capability for computing, scientists at Los Alamos National Laboratory have made a new interface-type memristive device, which their results suggest can be used to build artificial synapses for next-generation neuromorphic computing. Memristive devices, or memristors, represent long-sought circuit technology that, unlike current resistor technology, has both programming and memory capabilities — memristors could remember which electrical state they were in when powered off, a human brain-like ability that opens up new possibilities for computing and devices.
Tested against a dataset of handwritten images from the Modified National Standards and Technology database, the interface-type memristors realized a high image recognition accuracy of 94.72%. Image: LANL.
“Data processing is an essential part of today’s science, with machine learning, artificial intelligence and artificial neural networks used to address pressing questions in everything from climate science to national security applications,” said Aiping Chen, Laboratory scientist with the Center for Integrated Nanotechnologies. “But conventional computing architecture demands a great deal of energy and is increasingly less able to scale up to meet bigger and bigger data challenges. Neuromorphic computing, which mimics the unmatched data storage and processing architecture and capabilities of the human brain, offers a path to continue to extend computing performance.”
Conventional computing is constrained by the so-called von Neumann bottleneck, in which computing and memory are separate. Processing advanced tasks like machine learning and image recognition on digital computers consume a significant amount of energy and time due to transferring the data back and forth between a central processing unit and memory. Data center energy consumption has increased rapidly in the past few years, with projections that approximately 8% of the world’s electricity will be used by data centers by 2030.
Additionally, in conventional computer architecture, billions of transistors on silicon-based microchips serve as switches for a computer’s binary code. Physical limits to the miniaturization of those transistors have helped spell the end of Moore’s Law, a maxim that foretold the doubling of processing power roughly every two years.
In-Memory Computing: Just Like a Brain
Co-locating information storage and processing at synapses, which connect the 100 billion neurons sending and receiving chemical information, the human brain’s “in-memory processing” saves time and energy. Neuromorphic computing relies on emergent devices such as memristors, switches between two terminals that control and remember the charge flowing through, to replicate the structure and function of synapses.
In the fast-evolving field of neuromorphic computing, memristor designs have included filament systems, in which a charge is delivered through the devices. But, prone to overheating, filament systems lack stability and reliability.
Chen and his colleagues are working on a different approach called an interface-type memristor, and have produced a reliable, high-performing device with a simple structure based on an Au/Nb-doped SrTiO3 interface — essentially gold and other semiconducting materials. The interface-type memristors can, in principle, be scaled down to nanometer size that even filament-based memristor technology cannot achieve. (By contrast, a human hair is approximately 100,000 nanometers thick.) And especially in contrast to transistor-based neuromorphic chips, the interface-type memristive device needs significantly less power to fuel its processing.
“Different from digital computing with a von Neumann architecture, neuromorphic computing, inspired by biological systems, works just like a brain,” said Chen. “The advantages of that structure include low-energy consumption, high parallelism and excellent error tolerance. The human brain runs at only 20 watts, after all, but learns extremely effectively. These advantages make it very good for advanced computing tasks like learning, recognition and decision-making.”
Excelling at Advanced Computing Tasks
The team used artificial neural-network simulation to study the computing performance of the interface-type memristor, testing it against a dataset of handwritten images from the Modified National Standards and Technology database maintained by the National Institute of Standards and Technology. Demonstrating excellent uniformity, programmability and reliability, the device realized a recognition accuracy of 94.72%.
That performance makes the team believe these new interface-type memristive devices can be a fundamental hardware piece for next-generation neuromorphic computing.
“The capabilities we’re seeing suggest that neuromorphic chips, like human brains, will be good at advanced tasks that include learning and real-time decision-making,” said Chen. “We could see neuromorphic computing enable a lot of applications that require intelligence, from self-driving cars, to drones, to security cameras. Basically, many things that people are capable of doing, these types of devices will be able to do.”
The team plans to continue to develop the technology with an emphasis on the need for co-design — hardware design informed by algorithmic approaches offered by computer scientists.
Paper: “An Interface-Type Memristive Device for Artificial Synapse and Neuromorphic Computing,” Advanced Intelligent Systems. DOI: 10.1002/aisy.202300035

 

[IloveLamp]

Watch the video..........

Automotive News Video: Magna’s in-mirror monitoring system Video from Automotive News

Magna’s in-mirror monitoring system tracks the driver’s head, eye and body movement to help detect signs of distracted behavior, drowsiness and fatigue.

hubs.ly

 

[Deleted member 118]

 

[Deleted member 118]

 

[Tuliptrader]

Would have required a ASX notification for the remainder of the Capitol Call, ............................ i would have thought.

also on LinkedIn

BrainChipBrainChip

BrainChip will participate in the Global Leadership Summit. This invitation-only exclusive event brings together the leading global C-level and senior executives from the semiconductor and high technology industry. https://lnkd.in/gZmDrf2u

Have a look a the absolute calibre of the companies at the bottom of the page. And there we are smack bang in the middle amongst these titans. How did we get an invite to this? Not bad for meme stock,eh.

GSA Lightning Community

TT

 

[Deleted member 118]

 

[Deleted member 118]

 

[Deleted member 118]

 

[Deleted member 118]

 

[Deleted member 118]

 

[TopCat]

Renesas Completes Acquisition of Panthronics2. June 2023​

 

[Deleted member 118]

I tried to pick out a few videos this morning that might be off interest, but not watch any so apologie if irrelevant.

 

[supersonic001]

BrainChip on LinkedIn: LT Event

BrainChip will participate in the Global Leadership Summit. This invitation-only exclusive event brings together the leading global C-level and senior…

www.linkedin.com

 

[Jchandel]

Watch the video..........

Automotive News Video: Magna’s in-mirror monitoring system Video from Automotive News

Magna’s in-mirror monitoring system tracks the driver’s head, eye and body movement to help detect signs of distracted behavior, drowsiness and fatigue.

hubs.ly

View attachment 37631 View attachment 37632

Magna and Seeing Machines working together on this. Do we have any link with Seeing Machines or Occula Neural processing unit? I have seen Occula’s name floating around in the forum.. regardless- the tide is turning and slowly all car manufacturers will need to have this life saving tech in their cars

 

[Esq.111]

Morning Chippers,

Article extracted from Weekend Financial Review..... Government fund for all things A.I.

If memory serves me..... this was bought to the Boards attention at the AGM.... to which a reply was thay had not yet looked into this....might pay to, as this could potentialy alleviate some of our company costs ( at shareholders expense ) when dealing with smaller companys developing new fangled technology / products.

If someone could beam it through to Brainchip, Cheers.

Regards,
Esq.