BRN Discussion Ongoing
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Lke too
mrgds
Regular
There was some unusually big orders in the auction today,
Hoping it bodes well for next week and beyond.
AKIDA BALLISTA
Fact Finder
Top 20
But stamping their RM Williams and demanding a resizing might be.
All I am doing here is trying to put reasonable alternative arguments as to why things might have been done a particular way.
Maybe you are correct and Brainchip stuffed it up and have no idea this sizing of their brand has occurred.
In putting an alternative view I am giving credit to the psychologist who designed the marketing used by Brainchip. The companies are all on the one page and each have the same amount of space as you point out I don’t think they will be missed by someone looking with serious purpose.
My opinion only DYOR
FF
AKIDA BALLISTA
jtardif999
Regular
It appears that Socionext may have something going with NVisio - based on page 3 of the December newsletter (reading from the last row in the achievements table which refers to the Japanese semiconductor company and the paragraph below the table):
AusEire
Founding Member.
There are now 2 reasons to ban Sera2g
. He has yet to buy me a beer
. He argued with FF
3 strikes maybe?
Some companies have a standard determining the use of their logo, and often that includes a peripheral border so the logo does not end up bumping up against the text.
Why would a semiconductor manufacturer evaluate a human behaviour AI Software Development Kit for neuromorphic computing?
Steve10
Regular
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.
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.
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.
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.
Boab
I wish I could paint like Vincent
When I woke up this morning and looked at the overnight activity on the markets I thought oh shit its going to be one of those days to look away so off I went on my 3 times a week 6.5km walk. By the time I got back the super sleuths had been hard at work and the day just got better and better. Rob Telson's comments and high praise from nViso and BRN had a late gasp to finish green. What a day.
I'm enjoying a bitterly cold beer here in the late afternoon in balmy WA. Life is good.
I'm going to enjoy my weekend. Love yous all as Jeff would say.
I'm enjoying a bitterly cold beer here in the late afternoon in balmy WA. Life is good.
I'm going to enjoy my weekend. Love yous all as Jeff would say.
Getupthere
Regular
Polestar Smart Eye driver monitoring system detailed — 7NEWS.com.au
Sweden-based Polestar plans to watch its drivers closely... via a camera-based monitoring system that detects signs of drowsiness or duress.
Polestar Smart Eye driver monitoring system detailed
Mike Costello / Motoring
Updated 16.12.2022 3:08PM AEDT
Polestar is rolling out a driver monitoring system that tracks head and eye movements to detect signs of distraction or tiredness.
This system, standard in the Polestar 3 SUV, uses two closed-loop cameras and software from Swedish company Smart Eye, to track the driver’s head, eye and eyelid movements and trigger warning messages, sounds – and even an emergency stop in worst-case scenario.
Data from the various systems is processed and interpreted by the car’s centralised computer, powered by NVIDIA. This is expected to become critical technology in the coming years as regulators ratchet up requirements for vehicle safety.
Watch the latest news on Channel 7 or stream it for free on 7plus>>
The publicly listed company started by Volvo and parent Geely will demonstrate the driver monitoring system at CES in Las Vegas during January 2023.
Visitors to CES will be able to see how the cameras track the driver’s head and eye movements, and observe how the AI software can detect the state of the driver in real time.
“This technology addresses some of the main reasons behind fatal accidents and can help save lives by prompting the driver to refocus attention on the road – and can initiate preventive action when they don’t, or can’t,” says Polestar CEO Thomas Ingenlath.
Smart Eye CEO and founder Martin Krantz added: “We are excited to have our fellow Swedish innovators on our stand at CES. With over one million cars now featuring our advanced driver monitoring technology, it’s a great opportunity to showcase what lies beneath the surface in one of the latest cars to join our family.”
Polestar and Smart Eye are both headquartered in Gothenburg, “spotlighting the increasingly important role Sweden’s second largest city plays in the advancement of automotive technology and development”, Polestar adds.
About the Polestar 3
The Polestar 3 is a distinctive-looking five-seater destined to join the existing Polestar 2 liftback in the company’s growing line-up from late 2023 in North America, Europe and China, and 2024 for other regions including Australia.
It will be the first Polestar made in two countries: starting in Chengdu, China, and then in the United States from 2024 at a plant in South Carolina.
The BMW iX-rivalling Polestar 3 is quite large at 4900mm long, and seats five rather than seven. It also has a sporty roofline and a wide crossover stance, differentiating it from the impending, family-focused Volvo EX90 that’s closely related.
Designed from the ground up as an electric vehicle, the Polestar 3 uses a large 111kWh and 400V lithium-ion battery with a prismatic cell design and liquid cooling, all supplied by CATL.
The company is working towards a 610km driving range on the WLTP test cycle, while the peak DC charging rate is listed as 250kW.
The Polestar 3 will also offer bi-directional charging, both vehicle-to-grid and vehicle-to-load. Volvo has already confirmed the related EX90 will offer the same feature.
Launch models will feature dual-motor all-wheel drive with system outputs of 360kW and 840Nm, which can be bumped to 380kW and 910Nm with the optional Performance Pack. Polestar claims the 3 can tow 2200kg.
The SUV will come with adjustable regenerative braking with a one-pedal driving option, electric torque vectoring via clutches at the rear axle, and an efficiency-minded rear motor decoupling function.
The 3 will also come standard with two-chamber air suspension and active dampers, with at least two driving modes called comfort and dynamic. The aforementioned Performance Pack adds “optimised” air suspension and unique 22-inch wheels.
Beyond this, an optional Pilot Pack adds a state-of-the-art LiDAR, three cameras, four ultrasonic sensors, and cleaning for the front- and rear-view cameras, offering copious real-time data about the car’s surroundings especially in the long-range field.
A section called the ‘SmartZone’ below the front aero wing collects several of the forward-facing sensors, and a heated radar module and camera.
The Polestar 3’s interior embraces an EV theme through the use of sustainable materials such as bio-attributed MicroTech, animal welfare-certified leather, and fully traceable wool upholsteries. A complete life-cycle assessment will be completed when production begins.
It’s the first Polestar to use centralised computing from an Nvidia Drive core, with Volvo software. This platform processes data from all the car’s cameras and sensors.
Polestar will also adopt a newly revealed Volvo system in which interior radar sensors detect sub-millimetre movements in the interior of the car, to help protect against accidentally leaving children or pets inside. The system is also linked to the climate control system.
Meanwhile the infotainment system is powered by a next-generation Snapdragon Cockpit Platform from Qualcomm Technologies, to speed up the high-definition displays and connectivity throughout the vehicle.
The 14.5-inch centre display runs the Android Automotive in-car operating system like the Polestar 2, with over-the-air (OTA) updates offered.
Standard features across the range are said to include a panoramic glass roof, all-LED lighting inside and out, retractable door handles with proximity sensing, and 21-inch alloy wheels.
Options will include a 25-speaker audio system from Bowers & Wilkins with 3D surround sound and Dolby Atmos capability, soft-closing doors, and a head-up display.
At launch the Polestar 3 Long Range Dual Motor will kick off at 89,900 euros (A$140,000), similar to the German price of a BMW iX xDrive50.
The Polestar 3 is the company’s second model, but the range will expand to include the smaller Polestar 4 SUV and Polestar 5 grand tourer by mid-decade.
Keep your eyes peeled for our first drive of the 2023 Polestar 3 soon.
MORE: Polestar – brand overview, and what’s next
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equanimous
Norse clairvoyant shapeshifter goddess
Old but gives insight into their forward thinking ideas
With world’s first AI sensor, Sony takes aim at the edge
By Karen FieldJun 29, 2020 04:11pm
equanimous
Norse clairvoyant shapeshifter goddess
Sony shows us an AI future, but where does that leave creators?
By Gareth Bevanpublished 10 days ago
This year, Sony opened up its 50th anniversary celebrations to the press for the first time, and we got to see a rare glimpse behind the scenes. The leading corporation – known for its Alpha range of Sony camera(opens in new tab)s, Sony phones, TVs and more – showed off some of the groundbreaking new technologies that are in varying phases of R&D, but will eventually become consumer products.
This look into the future was fascinating, with the new developments expanding my mind to just what could be possible. However, the focus on AI and how it is going to infiltrate and revolutionize every instance of technology does make me fear for the traditional role of photographers and videographers in our industry.
The main theme running through every presentation in Sony's showcase was AI (artificial intelligence) and ML (machine learning). These examples ranged from small improvements we are already starting to see in devices, all the way through to significant advances that will completely change the way we use technology.
Sony shows us an AI future, but where does that leave creators?
Sony's latest tech showcase shows that an AI future is coming soon, but where does that leave creators?
Looks like FF when he reads some of the posts here on TSE
equanimous
Norse clairvoyant shapeshifter goddess
This is an interesting thread, worth a checkout.
wilzy123
Founding Member
This is the epitome of the crapper and just highlights how redundant it is as a forum. Yak... reposting a screenshot of my own post on TSEx. Honestly just embarrassing for Yak and the already scum dwelling status that is prevalent on crapper. I can think of two reasons why anyone would frequent that place, and one of them is because they are stupid. Life's too short to be a peanut. Rethink your peanut ways. BTW... I didn't crawl over to the crapper for this screenshot.. it was given to me. You may think your visit to the crapper is harmless... but you're actually handing $TMH money due to the display of ads on their site. These display ads accrue $$$ with every pageview and second you sit on the site. If you like keeping the $TMH fancy boat party afloat, continue with your ways.
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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
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