The fact that robots don’t get tired makes this post kind of sarcastic but not impressive… or do we expect robots going to the gym so we don’t need to go?
Btw. He didn’t even make 10… he made 8
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The fact that robots don’t get tired makes this post kind of sarcastic but not impressive… or do we expect robots going to the gym so we don’t need to go?
Btw. He didn’t even make 10… he made 8
Mmmmmmhhhhhmmmmmm this fellas will kick him in the aaaaaaaaass
Seid ihr auch so sportlich wie unsere Roboter? Wie viele Liegestütze schafft ihr? Jedenfalls haben unsere Roboter der Serie Alpha das Wetter genutzt. UBTECH Robotics #Robotics #Techtoys | HBI - Agentur für integrierte Kommunikation
Seid ihr auch so sportlich wie unsere Roboter? Wie viele Liegestütze schafft ihr? Jedenfalls haben unsere Roboter der Serie Alpha das Wetter genutzt. UBTECH Robotics #Robotics #Techtoys.
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HopalongPetrovski
I'm Spartacus!
I think they're just getting him in shape for when Mrs Atlas arrives on the scene.The fact that robots don’t get tired makes this post kind of sarcastic but not impressive… or do we expect robots going to the gym so we don’t need to go?
Btw. He didn’t even make 10… he made 8
After all....all work and no play makes Mr Roboto a dull boy.
Bravo
If ARM was an arm, BRN would be its biceps💪!
How the human brain is inspiring energy-efficient AI
16 August 2024Research counteracts energy demand of large language models
University of Sydney researchers are developing an AI method to reduce the energy required by data centres, which could help reduce the carbon footprint of large language models like ChatGPT.
Linwei Tao, a PhD researcher and Associate Professor Chang Xu inside a data centre. Image: Stefanie Zingsheim, University of Sydney
Large language models are expected to increase global energy consumption, but thanks to University of Sydney researchers, there may now be a way to create energy efficient computing that works a bit like the most complex computer of all – the human brain.
While industries are making inroads in driving down emissions and energy use, advanced large language models like ChatGPT could require as much electricity as up to 17,000 households. Future generations under development could consume even more.
According to the US Office of Energy Efficiency and Renewable Energy, data centres account for 2 percent of the United States’ total energy use. In Australia, reports suggest data centres they account for 1 percent of total energy use, potentially reaching 8 percent by 2030. Large language models, like Open AI’s, require large amounts of computational power to sift through vast troves of data.
How the human brain could inspire sustainable computing
Associate Professor Chang Xu in the University’s Net Zero Institute is working to improve the efficiency of algorithms so that the hardware they run on requires less energy to work."We're meant to be scaling back our energy use, but the advent of large language models has been a shot in the arm and we're seeing energy usage of computing soar,” said Associate Professor Xu. “This is totally the wrong direction."
"Most of the time when people use large language models like ChatGPT, they are making small queries or asking for help on pretty simple tasks. Yet these models still fire on all cylinders to develop a response, using increasing amounts of energy,” he said.
Associate Professor Chang Xu from the University's Net Zero Institute and School of Computer Science is a world-leading expert in AI and data science. Image: Stefanie Zingsheim, University of Sydney
Associate Professor Xu says we need only need to think about the human brain to understand how his technique works.
"When you think about a healthy human brain – it doesn't fire all neurons or use all of its brain power at once. It operates with incredibly energy efficiency, just 20 Watts of power despite having around 100 billion neurons, which it selectively uses from different hemispheres of the brain to perform different tasks or thinking.
“In contrast, advanced AI programs like ChatGPT, which contains 175 billion parameters, requires a staggering 9 megawatts, equivalent to a medium-sized power station. This reminds us of the need to push the limits of machine intelligence, focusing not only on its accuracy but also on its efficiency.
"We are developing algorithms that do just that, that bypass the redundant computations they don't need, so they don't automatically go into high gear, meaning far less energy is required."
He hopes his technique will change how hardware is developed, to support more energy efficient applications.
Director of the Net Zero Institute, Professor Deanna D’Alessandro said climate change is a pernicious, whole-of-society issue that is deeply embedded in every facet of society and must be tackled on every front.
“When people think of climate change and emissions sources, they don’t generally think of AI or computing,” said Professor D’Alessandro. “While AI is helping many researchers understand climate change and develop solutions which weren’t previously possible, we need to make sure new technologies aren’t creating an even bigger problem by becoming a significant emissions source.”
About the Net Zero Institute
The Net Zero Institute is one of the University’s flagship centres that is accelerating solution-based research and assist the world in meeting its climate change goal of net zero carbon emissions by 2050.It brings together more than 150 researchers from across the University to develop solutions across various disciplines, from extracting critical minerals from waste and greenhouse gas removals to net zero health and green computing.
How the human brain is inspiring energy-efficient AI
Large language models like Chat GPT are expected to increase global energy consumption. Now, thanks to leading University of Sydney AI and data science researchers, there may be a way to create energy efficient computing that works a bit like the most complex computer of all – the human brain.
I wish the human brain would inspire some of the today’s politicians insteadHow the human brain is inspiring energy-efficient AI
16 August 2024
Research counteracts energy demand of large language models
University of Sydney researchers are developing an AI method to reduce the energy required by data centres, which could help reduce the carbon footprint of large language models like ChatGPT.
Linwei Tao, a PhD researcher and Associate Professor Chang Xu inside a data centre. Image: Stefanie Zingsheim, University of Sydney
Large language models are expected to increase global energy consumption, but thanks to University of Sydney researchers, there may now be a way to create energy efficient computing that works a bit like the most complex computer of all – the human brain.
While industries are making inroads in driving down emissions and energy use, advanced large language models like ChatGPT could require as much electricity as up to 17,000 households. Future generations under development could consume even more.
According to the US Office of Energy Efficiency and Renewable Energy, data centres account for 2 percent of the United States’ total energy use. In Australia, reports suggest data centres they account for 1 percent of total energy use, potentially reaching 8 percent by 2030. Large language models, like Open AI’s, require large amounts of computational power to sift through vast troves of data.
How the human brain could inspire sustainable computing
Associate Professor Chang Xu in the University’s Net Zero Institute is working to improve the efficiency of algorithms so that the hardware they run on requires less energy to work.
"We're meant to be scaling back our energy use, but the advent of large language models has been a shot in the arm and we're seeing energy usage of computing soar,” said Associate Professor Xu. “This is totally the wrong direction."
"Most of the time when people use large language models like ChatGPT, they are making small queries or asking for help on pretty simple tasks. Yet these models still fire on all cylinders to develop a response, using increasing amounts of energy,” he said.
Associate Professor Chang Xu from the University's Net Zero Institute and School of Computer Science is a world-leading expert in AI and data science. Image: Stefanie Zingsheim, University of Sydney
Associate Professor Xu says we need only need to think about the human brain to understand how his technique works.
"When you think about a healthy human brain – it doesn't fire all neurons or use all of its brain power at once. It operates with incredibly energy efficiency, just 20 Watts of power despite having around 100 billion neurons, which it selectively uses from different hemispheres of the brain to perform different tasks or thinking.
“In contrast, advanced AI programs like ChatGPT, which contains 175 billion parameters, requires a staggering 9 megawatts, equivalent to a medium-sized power station. This reminds us of the need to push the limits of machine intelligence, focusing not only on its accuracy but also on its efficiency.
"We are developing algorithms that do just that, that bypass the redundant computations they don't need, so they don't automatically go into high gear, meaning far less energy is required."
He hopes his technique will change how hardware is developed, to support more energy efficient applications.
Director of the Net Zero Institute, Professor Deanna D’Alessandro said climate change is a pernicious, whole-of-society issue that is deeply embedded in every facet of society and must be tackled on every front.
“When people think of climate change and emissions sources, they don’t generally think of AI or computing,” said Professor D’Alessandro. “While AI is helping many researchers understand climate change and develop solutions which weren’t previously possible, we need to make sure new technologies aren’t creating an even bigger problem by becoming a significant emissions source.”
About the Net Zero Institute
The Net Zero Institute is one of the University’s flagship centres that is accelerating solution-based research and assist the world in meeting its climate change goal of net zero carbon emissions by 2050.
It brings together more than 150 researchers from across the University to develop solutions across various disciplines, from extracting critical minerals from waste and greenhouse gas removals to net zero health and green computing.
How the human brain is inspiring energy-efficient AI
Large language models like Chat GPT are expected to increase global energy consumption. Now, thanks to leading University of Sydney AI and data science researchers, there may be a way to create energy efficient computing that works a bit like the most complex computer of all – the human brain.www.sydney.edu.au
DingoBorat
Slim
That's probably harder than it looks, for a humanoid robot, that wouldn't normally be "strong" in that way..
Unless of course it was "designed" to be stong in that way..
Optimus 2 and Figure 2, may just collapse, attempting that..
A good way to run down it's battery..
DingoBorat
Slim
What other repetitive "mundane" tasks, are they looking to take away from us next?!I think they're just getting him in shape for when Mrs Atlas arrives on the scene.
After all....all work and no play makes Mr Roboto a dull boy.
...Hi JB,
I don't think that this particular article means that Prophesee is using TeNNs Pleiades. It means that, when run using Prophesee's 1 Mp Automotive Dataset (model library), Pleiades achieves SOTA performance. I assume the Prophesee dataset has been made open source so it can be used for benchmarking.
That said, I think it is highly likely that Prophesee, as well as Valeo, Mercedes and others, are using TeNNs simulation software with a view to commercialization ... and somewhere company "X" (not the company formerly known as...), is organizing tape-out ...
I ustado more than 8 ...
buena suerte :-)
BOB Bank of Brainchip
Half yearly in!!!!
Kachoo
Regular
That Is extreamly positive in my mind yes. 2 deals be what value they are but as long as things move forth its great. All the other news is past info nothing new. This nugget is positive lets hope this snowflake rolls to a snow ball and bigger
Space Cadet
Regular
Lol. Waiting for Mrs Atlas. I think Mrs Atlas will be a bit disappointed in only 8 push - ups.I think they're just getting him in shape for when Mrs Atlas arrives on the scene.
After all....all work and no play makes Mr Roboto a dull boy.
Sc
DingoBorat
Slim
That's AUD 313500 already 3 times (edit- 2 times HY in USD) the reported Half Year
Hey, it's a start!
This is also a bit of new language?..
"The Company has seen growing interest from customers seeking audio, video, Space and military application solutions"
I think that may be the first time, we've seen "military applications" mentioned directly?
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Anil mentioned working with military in an interview approx 2 years ago.That's AUD 313500 already 3 times, the reported Half Year
Hey, it's a start!
This is also a bit of new language?..
"The Company has seen growing interest from customers seeking audio, video, Space and military application solutions"
I think that may be the first time, we've seen "military applications" mentioned directly?
Can't remember the exact one but military has definitely been mentioned, although i don't recall it ever being mentioned on the asx before.
Following on from @Bravo's post about Parsons' takeover of BlackSignal, and our Blue Ridge connexion, Blue Ridge being a BlackSignal company, you'd have to think that that is part of the military interest in a "broad range of tactical devices".That's AUD 313500 already 3 times, the reported Half Year
Hey, it's a start!
This is also a bit of new language?..
"The Company has seen growing interest from customers seeking audio, video, Space and military application solutions"
I think that may be the first time, we've seen "military applications" mentioned directly?
By taking over BlackSignal, Parsons has expanded its ecosystem from the army and intelligence to include the air force, navy and DARPA.
My feeling is that, along with the expanded ecosystem, Parsons were keen to acquire some digital SNN capability.
https://brainchip.com/brainchip-and...ate-on-next-generation-tactical-edge-devices/
BrainChip and Blue Ridge Envisioneering Collaborate on Next-Generation Tactical Edge Devices
Laguna Hills, Calif. – April 10, 2023 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, and Blue Ridge Envisioneering (BRE), an engineering specialist serving the defense and intelligence communities, today announced a collaboration to support advanced decision-making applications for broad range of tactical devices.
BRE, a Black Signal Technologies company, will integrate BrainChip Akida™ processors in a variety of high-performance applications.
Tactical devices such as these are deployed where they have restrictive thermal requirements and limited access to power yet are required to operate efficiently. Akida’s ability to perform data processing, including AI/ML tasks at the edge, and its power-conserving neuromorphic design makes its utility in military and intelligence settings a potential breakthrough.
“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.”
“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.”
HopalongPetrovski
I'm Spartacus!
Yes.That's AUD 313500 already 3 times, the reported Half Year
Hey, it's a start!
This is also a bit of new language?..
"The Company has seen growing interest from customers seeking audio, video, Space and military application solutions"
I think that may be the first time, we've seen "military applications" mentioned directly?
As we all are aware, like space, military applications are extremely likely to be early adopters and proving grounds for our advanced tech.
After all, particularly when global economies are being somewhat squeezed, it is the military's who have both the budgets and the motivation to incorporate whatever advantages we can bestow as quickly as possible, particularly in preparation for a potential kinetic exchange with China over Taiwan.
They will be developing all their autonomous and semi autonomous vehicles and weapons platforms, including terrestrial, maritime, subsurface, air and space based assets as rapidly as they can, as a counter to the rapid Chinese military buildup and their stated intentions.
Also considering the force multiplier effect and the relative economy of relatively low tech drones in the current and ongoing Ukraine/ Russian conflict, I imagine amazing advances in autonomous drone warfare are being realised as we speak amongst the skunkworks, MI5's and DARPA's of this world.
Drones, I think, Akida enhanced, may well prove to be our "killer application".
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