Lenovo and Mercedes-Benz have also signed up as new members in the INRC neuromorphic community project.
Intel has released new performance benchmarks for the Loihi neuromorphic computing processor, revealing improvements in power consumption and efficiency.
Today during its Labs Day expo, Intel shared an update on progress within the Intel Neuromorphic Research Community (INRC), the ecosystem of over 100 academic groups, government labs, research institutions, and companies founded in 2018 to further neuromorphic computing. Intel and the INRC claim to have achieved breakthroughs in applying neuromorphic hardware to a range of applications, from gesture and voice recognition to autonomous drone navigation.
Sure, you can buy the latest iPhone 12 starting at $699, but doesn't a classic iPhone for $200 sound more up your alley?
Or why not just $849 on a 21-inch Apple iMac, instead of $1,099 for a new one?
In other words, instead of spending big money on Black Friday/Cyber Monday sales, why not save money on a refurb?
BackMarket.com is seeing more interest as holiday shoppers opt for more sustainable gifts as a way to not contribute to more e-waste. Serge Verdoux, Managing Director at Back Market, joined Cheddar to discuss.
Dutch neuromorphic computing startup Innatera Nanosystems has completed a seed funding round, raising €5 million (around $6 million).
Innatera, a spin-out from the Delft University of Technology, is developing an analog chip designed to run spiking neural networks, a type of neural network often used in neuromorphic computing that is inspired by the way the brain works. Like other neuromorphic computing approaches, the benefits are dramatic improvements in power consumption and latency – Innatera claims its chip will allow sensor data to be processed 100x faster and with 500x less energy than using conventional digital processing.
A mathematical argument going around recently said that, for phone owners, upgrading your smartphone every year is now the logical and financially sound choice, working out roughly to about $1 a day given certain parameters. It’s difficult not to respond with outrage at the “eff the environment” vibes of such a hypothesis, which conveniently avoids the issue of the 53.6 million tons of electronic waste produced worldwide—out of which the 416,000 phones tossed aside in the US every day surely play some role (especially given that less than 20% of smartphones sold end up being recycled in the end).
France has been making a big pushing into artificial intelligence in a bid to turn local mathematics and science know-how into global startups. State-backed investor Bpifrance alone poured €368m in 2019 into such companies.
France hopes to grow and, according to a new report from tech association France Digitale mapping the country’s AI ecosystem, is well-positioned to spawn the next generation of leaders in segments including industrial applications, autonomous vehicles and connected objects.
AI vendors are rolling out a steady stream of edge processing platforms spanning everything from multicore systems-on-chips to analog approaches that seek to imbue sensors with greater intelligence while reducing power consumption in always-on devices.
Along with lower latency, smart edge deployments require low-power AI processing via a variety of hardware and optimized software frameworks. A pair of approaches emerged this week, one silicon-based that leverages machine learning compilers, the other an analog, mixed signal scheme that embeds intelligence within internet of things (IoT) and other sensors.
A Japanese company has shipped the first industrial AI camera using an event-driven neuromorphic AI technology developed by Prophesee in France.
CenturyArks is shipping the SilkyEvCam, an ultra-compact USB camera designed to address a wide range of industrial machine vision applications. This uses the Prophesee Metavision sensor as well as the recently announced Metavision Intelligence Suite. This provides a faster time to market for machine vision developers using an event driven approach that only triggers on changes in the images.
A Japanese company has shipped the first industrial AI camera using an event-driven neuromorphic AI technology developed by Prophesee in France.
CenturyArks is shipping the SilkyEvCam, an ultra-compact USB camera designed to address a wide range of industrial machine vision applications. This uses the Prophesee Metavision sensor as well as the recently announced Metavision Intelligence Suite. This provides a faster time to market for machine vision developers using an event driven approach that only triggers on changes in the images.
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