BRN Discussion Ongoing
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Evermont
Stealth Mode
Flashback to 2020 when Loihi was still only 5 years away from a commercial offering.
Whilst the article doesn't reference BrainChip specifically the use cases now have Akida written all over them and we know where MB pivoted to in order to gain the significant boost for AI applications within their vehicles. Interesting reference to "...in and around" as well.
Cheers.
By Sara Castellanos
Dec. 10, 2020 3:25 pm ET
Experimental computer chips that try to mimic the way human brains work could accelerate the use of voice and gesture commands in automobiles, researchers at Intel Corp. and Accenture PLC say.
The cutting-edge technique, known as neuromorphic computing, could use significantly less energy than traditional computer- and graphic-processing units that connect wirelessly to a car via the cloud. Today’s cars don’t have the AI capabilities to recognize many speech and gesture commands, in part because of the energy requirements necessary to make those functions work.
Car makers are recognizing the need for AI methods that consume less energy, which is one reason why neuromorphic computing can be beneficial, said Tim Shea, technology researcher at Accenture Labs. “They’re already running up against limitations of [current chips] not being scalable enough,” he said.
German auto maker Mercedes-Benz AG announced last week it had joined the Intel Neuromorphic Research Community to explore how neuromorphic chips could help increase energy efficiency, speed and accuracy for vehicle-related AI uses.
“With the knowledge we’ll gain, we want to achieve a significant boost for our AI applications in and around our vehicles,” said Jasmin Eichler, director of future technologies at Mercedes-Benz, in a statement.
Intel’s neuromorphic chips could begin selling commercially within five years, according to Mike Davies, director of Intel’s Neuromorphic Computing Lab.
Applications powered by neuromorphic chips inside a car could help recognize when a person is shivering and automatically adjust the temperature, Accenture Labs researchers say. They could also recognize a voice command to turn on the car or roll down the window. The chips would be integrated in the car itself and would not need to connect to the cloud in order to work.
Accenture Labs worked on a neuromorphic computing experiment this year with an undisclosed car maker. In the experiment, a neuromorphic chip made by Intel Labs, named Loihi, recognized voice commands such as “start the engine.” The chip consumed 1,000 times less power and responded 200 milliseconds faster than a standard GPU, Mr. Shea said.
Intel is among several companies, universities and startups, such as International Business Machines Corp. , SynSense and Applied Brain Research, that are studying neuromorphic computing. “The industry is looking for new ways of developing AI systems with much lower power consumptions,” said Alan Priestley, AI technologies analyst at research firm Gartner Inc.
Energy consumption is an impediment to some AI deployments. Developing a single AI model, for example, can have a carbon footprint equivalent to the lifetime emissions of five average U.S. cars, according to researchers at the University of Massachusetts, Amherst.
With neuromorphic computing, it is possible to train machine-learning models using a fraction of the data it takes to train them on traditional computing hardware. That means the models learn similarly to the way human babies learn, by seeing an image or toy once and being able to recognize it forever, The Wall Street Journal has previously reported.
The technique uses significantly less energy than today’s GPUs, which are one of the main computer chips used for AI systems, especially neural networks. Neural networks are used in speech recognition and understanding, as well as computer vision.
Another advantage of the computing technique is that it is “event-driven,” meaning it is only computing and using energy when it is activated by an event, such as a voice or gesture command. “It’s not just computing all the time in a uniform way, whether there’s activity or not,” said Alex Kass, a fellow and principal director at Accenture Labs.
Neuromorphic chips can be placed inside cars to do the computing “at the edge,” or inside the car itself, without needing to access the cloud. That means the AI functions always work, even in areas with bad connectivity, such as national forests, Accenture researchers say.
The chips are expected to be the predominant computing architecture for new, advanced forms of AI deployments by 2025, according to Gartner. By that year, Gartner predicts the technology will displace graphics-processing units.
Write to Sara Castellanos at sara.castellanos@wsj.com
www.wsj.com
Whilst the article doesn't reference BrainChip specifically the use cases now have Akida written all over them and we know where MB pivoted to in order to gain the significant boost for AI applications within their vehicles. Interesting reference to "...in and around" as well.
Cheers.
Smarter Cars: Auto Makers Experiment With Chips That Think Like Humans
Mercedes-Benz is exploring how neuromorphic chips could bring new AI capabilities to its vehicles
By Sara Castellanos
Dec. 10, 2020 3:25 pm ET
Experimental computer chips that try to mimic the way human brains work could accelerate the use of voice and gesture commands in automobiles, researchers at Intel Corp. and Accenture PLC say.
The cutting-edge technique, known as neuromorphic computing, could use significantly less energy than traditional computer- and graphic-processing units that connect wirelessly to a car via the cloud. Today’s cars don’t have the AI capabilities to recognize many speech and gesture commands, in part because of the energy requirements necessary to make those functions work.
Car makers are recognizing the need for AI methods that consume less energy, which is one reason why neuromorphic computing can be beneficial, said Tim Shea, technology researcher at Accenture Labs. “They’re already running up against limitations of [current chips] not being scalable enough,” he said.
German auto maker Mercedes-Benz AG announced last week it had joined the Intel Neuromorphic Research Community to explore how neuromorphic chips could help increase energy efficiency, speed and accuracy for vehicle-related AI uses.
“With the knowledge we’ll gain, we want to achieve a significant boost for our AI applications in and around our vehicles,” said Jasmin Eichler, director of future technologies at Mercedes-Benz, in a statement.
Intel’s neuromorphic chips could begin selling commercially within five years, according to Mike Davies, director of Intel’s Neuromorphic Computing Lab.
Applications powered by neuromorphic chips inside a car could help recognize when a person is shivering and automatically adjust the temperature, Accenture Labs researchers say. They could also recognize a voice command to turn on the car or roll down the window. The chips would be integrated in the car itself and would not need to connect to the cloud in order to work.
Accenture Labs worked on a neuromorphic computing experiment this year with an undisclosed car maker. In the experiment, a neuromorphic chip made by Intel Labs, named Loihi, recognized voice commands such as “start the engine.” The chip consumed 1,000 times less power and responded 200 milliseconds faster than a standard GPU, Mr. Shea said.
Intel is among several companies, universities and startups, such as International Business Machines Corp. , SynSense and Applied Brain Research, that are studying neuromorphic computing. “The industry is looking for new ways of developing AI systems with much lower power consumptions,” said Alan Priestley, AI technologies analyst at research firm Gartner Inc.
Energy consumption is an impediment to some AI deployments. Developing a single AI model, for example, can have a carbon footprint equivalent to the lifetime emissions of five average U.S. cars, according to researchers at the University of Massachusetts, Amherst.
With neuromorphic computing, it is possible to train machine-learning models using a fraction of the data it takes to train them on traditional computing hardware. That means the models learn similarly to the way human babies learn, by seeing an image or toy once and being able to recognize it forever, The Wall Street Journal has previously reported.
The technique uses significantly less energy than today’s GPUs, which are one of the main computer chips used for AI systems, especially neural networks. Neural networks are used in speech recognition and understanding, as well as computer vision.
Another advantage of the computing technique is that it is “event-driven,” meaning it is only computing and using energy when it is activated by an event, such as a voice or gesture command. “It’s not just computing all the time in a uniform way, whether there’s activity or not,” said Alex Kass, a fellow and principal director at Accenture Labs.
Neuromorphic chips can be placed inside cars to do the computing “at the edge,” or inside the car itself, without needing to access the cloud. That means the AI functions always work, even in areas with bad connectivity, such as national forests, Accenture researchers say.
The chips are expected to be the predominant computing architecture for new, advanced forms of AI deployments by 2025, according to Gartner. By that year, Gartner predicts the technology will displace graphics-processing units.
Write to Sara Castellanos at sara.castellanos@wsj.com
Smarter Cars: Auto Makers Experiment With Chips That Think Like Humans
Experimental computer chips that try to mimic the way human brains work could accelerate the use of voice and gesture commands in cars, researchers say.
www.wsj.com
Getupthere
Regular
Sony Honda Mobility Teases EV Ahead of CES-Adjacent Preview — CNET
The joint venture hopes to start deliveries in the US in early 2026.
Sony will lean on its strengths in sensors, imaging, networking and entertainment.
Why doesn't Brainchip ever get a direct mention in these articles? Beginning to give me the sh!ts....we actually have a commercially available solution here everybody.....hello, wake upFlashback to 2020 when Loihi was still only 5 years away from a commercial offering.
Whilst the article doesn't reference BrainChip specifically the use cases now have Akida written all over them and we know where MB pivoted to in order to gain the significant boost for AI applications within their vehicles. Interesting reference to "...in and around" as well.
Cheers.
Smarter Cars: Auto Makers Experiment With Chips That Think Like Humans
Mercedes-Benz is exploring how neuromorphic chips could bring new AI capabilities to its vehicles
By Sara Castellanos
Dec. 10, 2020 3:25 pm ET
Experimental computer chips that try to mimic the way human brains work could accelerate the use of voice and gesture commands in automobiles, researchers at Intel Corp. and Accenture PLC say.
The cutting-edge technique, known as neuromorphic computing, could use significantly less energy than traditional computer- and graphic-processing units that connect wirelessly to a car via the cloud. Today’s cars don’t have the AI capabilities to recognize many speech and gesture commands, in part because of the energy requirements necessary to make those functions work.
Car makers are recognizing the need for AI methods that consume less energy, which is one reason why neuromorphic computing can be beneficial, said Tim Shea, technology researcher at Accenture Labs. “They’re already running up against limitations of [current chips] not being scalable enough,” he said.
German auto maker Mercedes-Benz AG announced last week it had joined the Intel Neuromorphic Research Community to explore how neuromorphic chips could help increase energy efficiency, speed and accuracy for vehicle-related AI uses.
“With the knowledge we’ll gain, we want to achieve a significant boost for our AI applications in and around our vehicles,” said Jasmin Eichler, director of future technologies at Mercedes-Benz, in a statement.
Intel’s neuromorphic chips could begin selling commercially within five years, according to Mike Davies, director of Intel’s Neuromorphic Computing Lab.
Applications powered by neuromorphic chips inside a car could help recognize when a person is shivering and automatically adjust the temperature, Accenture Labs researchers say. They could also recognize a voice command to turn on the car or roll down the window. The chips would be integrated in the car itself and would not need to connect to the cloud in order to work.
Accenture Labs worked on a neuromorphic computing experiment this year with an undisclosed car maker. In the experiment, a neuromorphic chip made by Intel Labs, named Loihi, recognized voice commands such as “start the engine.” The chip consumed 1,000 times less power and responded 200 milliseconds faster than a standard GPU, Mr. Shea said.
Intel is among several companies, universities and startups, such as International Business Machines Corp. , SynSense and Applied Brain Research, that are studying neuromorphic computing. “The industry is looking for new ways of developing AI systems with much lower power consumptions,” said Alan Priestley, AI technologies analyst at research firm Gartner Inc.
Energy consumption is an impediment to some AI deployments. Developing a single AI model, for example, can have a carbon footprint equivalent to the lifetime emissions of five average U.S. cars, according to researchers at the University of Massachusetts, Amherst.
With neuromorphic computing, it is possible to train machine-learning models using a fraction of the data it takes to train them on traditional computing hardware. That means the models learn similarly to the way human babies learn, by seeing an image or toy once and being able to recognize it forever, The Wall Street Journal has previously reported.
The technique uses significantly less energy than today’s GPUs, which are one of the main computer chips used for AI systems, especially neural networks. Neural networks are used in speech recognition and understanding, as well as computer vision.
Another advantage of the computing technique is that it is “event-driven,” meaning it is only computing and using energy when it is activated by an event, such as a voice or gesture command. “It’s not just computing all the time in a uniform way, whether there’s activity or not,” said Alex Kass, a fellow and principal director at Accenture Labs.
Neuromorphic chips can be placed inside cars to do the computing “at the edge,” or inside the car itself, without needing to access the cloud. That means the AI functions always work, even in areas with bad connectivity, such as national forests, Accenture researchers say.
The chips are expected to be the predominant computing architecture for new, advanced forms of AI deployments by 2025, according to Gartner. By that year, Gartner predicts the technology will displace graphics-processing units.
Write to Sara Castellanos at sara.castellanos@wsj.com
Smarter Cars: Auto Makers Experiment With Chips That Think Like Humans
Experimental computer chips that try to mimic the way human brains work could accelerate the use of voice and gesture commands in cars, researchers say.
Deadpool
hyper-efficient Ai
I think after this week, the shareholders on the BRN bus, must disembark and board the BRAIN TRAIN EXPRESS, because nothing's going to stop us now.
My god, I just don't know what I am going to do with all the cash
What a dilemma.
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Deadpool
hyper-efficient Ai
I think after this week, the shareholders on the BRN bus, must disembark and board the BRN Express, because nothing's going to stop us now.
My god, I just don't know what I am going to do with all the cash
Now, if CES 23 is what I think it will be for BRN , we're going to need a cooler ride. And remember kids, we are only getting started.
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Well the obvious question is: Are Google still using a TPU from 2015?New Google Pixel 7 & 7 Pro phones released in October this year have a new Google Tensor G2 chip with upgraded TPU for AI.
Codenamed Cloudripper it features multiple ARM chips manufactured by Samsung on 4nm.
Dev board code name Cloudripper Model number GS201, Tensor G2 Cores 2x super-big ARM Cortex-X1, 2x big A78, 4x small Cortex-A55 GPU Mali-G710 Manufacturing node 4nm Samsung PLP Modem Samsung Exynos 5300 5G
Google talked about the Tensor G2 and said that it would bring "even more AI-heavy breakthroughs and helpful, personalized experiences across speech, photography, video, and security." And sure enough, the company delivers. The Pixel 7 can take and process night sight images up to two times faster than the Pixel 6. There is also a new Unblur feature on board that fully fixes slightly blurred images. Further, speech recognition has been improved, with the Pixel 7 processing dictated text faster than the Pixel 6, all without sending your audio snippets to servers.
Google Tensor G2: All the details on the Pixel 7's custom chipset
Google is hitting the custom silicon game hard! 🔥www.androidpolice.com
No mention of edge only TPU (Tensor Processing Unit).
Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software.[1] Google began using TPUs internally in 2015, and in 2018 made them available for third party use, both as part of its cloud infrastructure and by offering a smaller version of the chip for sale.
Wonder if there is Akida IP on one of the ARM chips?
And I think there may be something going on with Fujitsu for new AI sensors. And Apple's new VR headsets.
SERA2g
Founding Member
Yeh, I was never going to get much support arguing with FF.There are now 2 reasons to ban Sera2g
. He has yet to buy me a beer
. He argued with FF
3 strikes maybe?
Talk about David vs Goliath
FF is a very reasonable fella so I’d imagine he’d be ok with messages outside of the typical “yes sir, 3 bags full”. That’s what makes this forum so great.
That and the fact hell will freeze over before I buy you a beer.
Townyj
Ermahgerd
Sirod69
bavarian girl ;-)
Valeo
We're happy to announce that Valeo has been recognized for its leadership in corporate transparency and performance on climate change by the global environmental non-profit CDP, securing a place on their 2022 ‘Climate Change A List’’! Read about it here: https://lnkd.in/enprYMAZ
thelittleshort
Top Bloke
Intel spreading the word
Likes include personnel from Intel, Cadence, TSMC, Qualcomm, Synopsys, Samsung, SiFive and RISC-V
www.linkedin.com
Likes include personnel from Intel, Cadence, TSMC, Qualcomm, Synopsys, Samsung, SiFive and RISC-V
Suk Lee on LinkedIn: BrainChip Joins Intel Foundry Services to Advance Neuromorphic AI at the…
Our industry is experiencing an exciting stage in the evolution of #processorarchitectures that drive application specific workloads. We are glad to have…
thelittleshort
Top Bloke
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Deleted member 118
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US-China chip war: How the technology dispute is playing out
Washington announced some of the broadest export controls on chipmakers in October.
Morning Chippers
Possibly using Brainchip tech?...
SpaceX only hours ago launched a NASA / EU rocket to study the earth's waterways, oceans and water resivours on 16th Dec.
SWOT , Surface Water & Ocean Topography.
Global survey of earth's surface water.
10 fold improvement in spatial resolution.
NADIR Actimeter & the Ka-Band Radar or KaRln for short.
???
Regards,
Esq.
Possibly using Brainchip tech?...
SpaceX only hours ago launched a NASA / EU rocket to study the earth's waterways, oceans and water resivours on 16th Dec.
SWOT , Surface Water & Ocean Topography.
Global survey of earth's surface water.
10 fold improvement in spatial resolution.
NADIR Actimeter & the Ka-Band Radar or KaRln for short.
???
Regards,
Esq.
Sirod69
bavarian girl ;-)
WOW and always WOW again
We are in everybodys mouth
our questions?
So many questions and it is almost weekend!
Relax, take a deep breath, this newsletter can be a bit heavy to consume. Start with the new PQFN Dual-Side Cooling 25-150 V power MOSFET family from Infineon, follow that up with Advantech's paper on High Performance Edge Computing in Manufacturing, let your eyes and thoughts rest with the HI & AI cartoon and reserve the rest of this newsletter for after the Sunday roast.... just some reading tips.
Enjoy reading, enjoy the weekend
The eeNews Europe team
www.linkedin.com
We are in everybodys mouth
A Processor too Powerful // eeNews Europe Newsletter 221216
- Veröffentlicht am 16. Dezember 2022
our questions?So many questions and it is almost weekend!
Relax, take a deep breath, this newsletter can be a bit heavy to consume. Start with the new PQFN Dual-Side Cooling 25-150 V power MOSFET family from Infineon, follow that up with Advantech's paper on High Performance Edge Computing in Manufacturing, let your eyes and thoughts rest with the HI & AI cartoon and reserve the rest of this newsletter for after the Sunday roast.... just some reading tips.
Enjoy reading, enjoy the weekend
The eeNews Europe team
A Processor too Powerful // eeNews Europe Newsletter 221216
Is that ARM Processor too powerful for China? Will ultra-low power neuromorphic AI IP help advance innovation on Intel’s foundry manufacturing platform. What is charge based AI? Is #ChatGPT the answer to all (y)our questions? So many questions and it is almost weekend! Relax, take a deep breath, thi
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