The definition of rarely?
BRN Discussion Ongoing
- Thread starter TechGirl
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Hi MDhere,
Edge Impulse Object Detection on RA8D1
Edge Impulse empowers ML teams to run AI at peak performance on any edge device, with unmatched ease and speed.
cosors
👀
When I'm on my own and have a drink I like to smoke because it tastes good. But I don't smoke normally if I'm together with my sweetheart. I also don't mind not smoking for a fortnight. Depending on how it suits me. For me it's not so much a vice as a indulgence (?).
And before you ask, I only drink red wine
That was very good!
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MDhere
Regular
Thanks GV yes im in my "opinion" quietly confident we are part of the ecosystem build.Hi MDhere,
Edge Impulse Object Detection on RA8D1
Edge Impulse empowers ML teams to run AI at peak performance on any edge device, with unmatched ease and speed.www.renesas.com
cosors
👀
x=a*b°
with
a=start
b=bagger
°=iterations
So, with start 1 and doubling and 25 iterations -> 33,554,432
But who am I telling
The view through the drink creates a different level of reality. So you'll be right too.
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BrainChip on LinkedIn: #ces2024 #edgeai #ai
BrainChip will be making waves at CES® this year – will you be part of the excitement? Experience ultra-efficient Edge AI processing sensor modalities —…
CES 2024 — From Inspiration to Innovation
mailchi.mp
Edge Impulse Object Detection on RA8D1
Edge Impulse empowers ML teams to run AI at peak performance on any edge device, with unmatched ease and speed.
Sally Atkinson on LinkedIn: Edge Impulse Object Detection on RA8D1
Edge Impulse now supports object detection on Renesas Electronics RA8 🚀 https://lnkd.in/eHRZxyRW Amir Sherman Saniea Akhtar Francesco Varani Arjan…
supersonic001
Regular
BrainChip on LinkedIn: #ces2024 #edgeai #ai
BrainChip will be making waves at CES® this year – will you be part of the excitement? Experience ultra-efficient Edge AI processing sensor modalities —…
Justchilln
Regular
Anyone else getting that special feeling in their potatoes that January is gonna be...........
TechGirl
Founding Member
Schnitzel lover
Regular
That would be more relevant and significant if a cornerstone Investor was holding 5% of BRN shares IMO.
Schnitzel lover
Regular
Maybe that will happen when, or should I say if, one of these big partners has a product with Akida IP at mass scale, and is trying to highlight and market it.
Bravo
If ARM was an arm, BRN would be its biceps💪!
WHAT???
www.newscientist.com
Supercomputer that simulates entire human brain will switch on in 2024
A neuromorphic supercomputer called DeepSouth will be capable of 228 trillion synaptic operations per second, which is on par with the estimated number of operations in the human brain
Bravo
If ARM was an arm, BRN would be its biceps💪!
"Leveraging commercially available hardware ensures continual improvements of the hardware."
"Using commercial off-the-shelf configurable hardware means that the protype would be easy to replicate at data centres around the world".
Ummmm.. Aren't we the only ones with a commercially available neurmorphic processor????.
International Centre for Neuromorphic Systems newsroom
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The world's first supercomputer capable of simulating networks at the scale of the human brain has been announced by researchers at the International Centre for Neuromorphic Systems (ICNS) at Western Sydney University.
DeepSouth uses a neuromorphic system which mimics biological processes, utilising hardware to efficiently emulate large networks of spiking neurons at 228 trillion synaptic operations per second - rivalling the estimated rate of operations in the human brain.
ICNS Director Professor Andre van Schaik says DeepSouth stands apart from other supercomputers as it is purpose-built to operate like networks of neurons, requiring less power and enabling greater efficiencies. This contrasts with supercomputers optimised for more traditional computing loads, which are power hungry.
"Progress in our understanding of how brains compute using neurons is hampered by our inability to simulate brain like networks at scale. Simulating spiking neural networks on standard computers using Graphics Processing Units (GPUs) and multicore Central Processing Units (CPUs) is just too slow and power intensive. Our system will change that," Professor van Schaik said.
"This platform will progress our understanding of the brain and develop brain-scale computing applications in diverse fields including sensing, biomedical, robotics, space, and large-scale AI applications."
Professor van Schaik explained that practically this will lead to advances in smart devices, such as mobile phones, sensors for manufacturing and agriculture, and less power-hungry and smarter AI applications. It will also enable a better understanding of how a healthy or diseased human brain works.
Western Sydney University's ICNS team collaborated with partners across the neuromorphic field in developing this ground-breaking project, with researchers from the University of Sydney, University of Melbourne, and University of Aachen, Germany.
The supercomputer is aptly named DeepSouth, paying homage to IBM's TrueNorth system, which initiated efforts to build machines simulating large networks of spiking neurons, and Deep Blue, which was the first computer to become a world chess champion. The name is also a nod to its geographical location.
DeepSouth will be based at Western Sydney University and is a key contributor to the growth of the region as a high-tech hub.
DeepSouth aims to be operational by April next year.
Key Benefits of DeepSouth:
Super-fast, large scale parallel processing using far less power: Our brains are able to process the equivalent of an exaflop — a billion-billion (1 followed by 18 zeros) mathematical operations per second — with just 20 watts of power. Using neuromorphic engineering that simulates the way our brain works, DeepSouth can process massive amounts of data quickly, using much less power, while being much smaller than other supercomputers.
Scalability: The system is also scalable, allowing for the addition of more hardware to create a larger system or scaling down for smaller portable or more cost-effective applications.
Reconfigurable: Leveraging Field Programmable Gate Arrays (FPGA) facilitates hardware reprogramming, enabling the addition of new neuron models, connectivity schemes, and learning rules—overcoming limitations seen in other neuromorphic computing systems with custom-designed hardware. DeepSouth will be remotely accessible with a front end that allows description of the neural models and design of the neural networks in the popular programming language Python. The development of this front-end enables researchers to use the platform without needing detailed knowledge of the hardware configuration.
Commercial Availability: Leveraging commercially available hardware ensures continual improvements of the hardware, independent of the team designing the supercomputer, overcoming limitations seen in other neuromorphic computing systems with custom designed hardware. Custom chips take a large amount of time to design and manufacture and cost tens of millions of dollars each. Using commercial off-the-shelf configurable hardware means that the protype would be easy to replicate at data centres around the world.
Artificial Intelligence: By mimicking the brain, we will be able to create more efficient ways of undertaking AI processes than our current models.
prwire.com.au
"Using commercial off-the-shelf configurable hardware means that the protype would be easy to replicate at data centres around the world".
Ummmm.. Aren't we the only ones with a commercially available neurmorphic processor????.
International Centre for Neuromorphic Systems newsroom
The world’s first supercomputer capable of brain-scale simulation being built in Western Sydney
Announcement posted by International Centre for Neuromorphic Systems 13 Dec 2023TWEET
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The world's first supercomputer capable of simulating networks at the scale of the human brain has been announced by researchers at the International Centre for Neuromorphic Systems (ICNS) at Western Sydney University.
DeepSouth uses a neuromorphic system which mimics biological processes, utilising hardware to efficiently emulate large networks of spiking neurons at 228 trillion synaptic operations per second - rivalling the estimated rate of operations in the human brain.
ICNS Director Professor Andre van Schaik says DeepSouth stands apart from other supercomputers as it is purpose-built to operate like networks of neurons, requiring less power and enabling greater efficiencies. This contrasts with supercomputers optimised for more traditional computing loads, which are power hungry.
"Progress in our understanding of how brains compute using neurons is hampered by our inability to simulate brain like networks at scale. Simulating spiking neural networks on standard computers using Graphics Processing Units (GPUs) and multicore Central Processing Units (CPUs) is just too slow and power intensive. Our system will change that," Professor van Schaik said.
"This platform will progress our understanding of the brain and develop brain-scale computing applications in diverse fields including sensing, biomedical, robotics, space, and large-scale AI applications."
Professor van Schaik explained that practically this will lead to advances in smart devices, such as mobile phones, sensors for manufacturing and agriculture, and less power-hungry and smarter AI applications. It will also enable a better understanding of how a healthy or diseased human brain works.
Western Sydney University's ICNS team collaborated with partners across the neuromorphic field in developing this ground-breaking project, with researchers from the University of Sydney, University of Melbourne, and University of Aachen, Germany.
The supercomputer is aptly named DeepSouth, paying homage to IBM's TrueNorth system, which initiated efforts to build machines simulating large networks of spiking neurons, and Deep Blue, which was the first computer to become a world chess champion. The name is also a nod to its geographical location.
DeepSouth will be based at Western Sydney University and is a key contributor to the growth of the region as a high-tech hub.
DeepSouth aims to be operational by April next year.
Key Benefits of DeepSouth:
Super-fast, large scale parallel processing using far less power: Our brains are able to process the equivalent of an exaflop — a billion-billion (1 followed by 18 zeros) mathematical operations per second — with just 20 watts of power. Using neuromorphic engineering that simulates the way our brain works, DeepSouth can process massive amounts of data quickly, using much less power, while being much smaller than other supercomputers.
Scalability: The system is also scalable, allowing for the addition of more hardware to create a larger system or scaling down for smaller portable or more cost-effective applications.
Reconfigurable: Leveraging Field Programmable Gate Arrays (FPGA) facilitates hardware reprogramming, enabling the addition of new neuron models, connectivity schemes, and learning rules—overcoming limitations seen in other neuromorphic computing systems with custom-designed hardware. DeepSouth will be remotely accessible with a front end that allows description of the neural models and design of the neural networks in the popular programming language Python. The development of this front-end enables researchers to use the platform without needing detailed knowledge of the hardware configuration.
Commercial Availability: Leveraging commercially available hardware ensures continual improvements of the hardware, independent of the team designing the supercomputer, overcoming limitations seen in other neuromorphic computing systems with custom designed hardware. Custom chips take a large amount of time to design and manufacture and cost tens of millions of dollars each. Using commercial off-the-shelf configurable hardware means that the protype would be easy to replicate at data centres around the world.
Artificial Intelligence: By mimicking the brain, we will be able to create more efficient ways of undertaking AI processes than our current models.
The world’s first supercomputer capable of brain-scale simulation being built in Western Sydney
The world's first supercomputer capable of simulating networks at the scale of the human brain has been announced by researchers at the International Centre for Neuromorphic Systems (ICNS) at Western Sydney University. DeepSouth uses a neuromorphic
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buena suerte :-)
BOB Bank of Brainchip
FJ-215
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SebThatGermanChap
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One of the things I miss terribly, the smell of Glühwein & Kastanien in the air at the Marienplatz Christkindlmarkt.
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