New chip reduces neural networks' power consumption by up to 95 percent

Image credit – Chelsea Turner/MITIn 2017 when Apple launched the new iPhones, they also introduced the new A11 Bionic chipset. This is the latest chipset for iPhones and while it comes with the usual performance upgrades, it also came with a dedicated AI chip that help to power and process the front-facing TrueDepth camera system which authenticates users through Face ID.Apple isnít alone in creating dedicated AI chips as we have also heard that Amazon is looking to do the same. Now it looks like education institution MIT might also have their own solution that could be potentially faster and also more energy efficient. MIT claims that this new chip is 3-7 times faster at neural network computations compared to its predecessors, and reduces power consumption by as much as 94%.They say that with these improvements, it makes the chip theyíve developed ideal to power local neural networks, such as those on phones or even embed them into household appliances, which we imagine could potentially cover smart

New chip reduces neural networks' power consumption by up to 95 percent

Most recent advances in artificial-intelligence systems such as speech- or face-recognition programs have come courtesy of neural networks, densely interconnected meshes of simple information ...

Wed 14 Feb 18 from TechXplore

MIT Builds Chip for More Efficient AI on Smartphones

Let’s face it: Neural networks are not practical for handheld devices. Large and energy intensive, artificial intelligence systems like speech- or facial-recognition programs simply gobble ...

Thu 15 Feb 18 from Geek.com

MIT's new chip makes neural networks practical for battery-powered devices

Researchers at MIT have developed a chip capable of processing neural network computations three to seven times faster than earlier iterations. The silicon is able to pull off this feat while ...

Thu 15 Feb 18 from Techspot

MIT Neural Network Processor Cuts Power Consumption by 95 Percent

MIT has developed new neural network processing methods that could cut the power consumption of existing solutions by up to 95 percent. It's a sea change that could effectively reinvent the ...

Thu 15 Feb 18 from Extremetech

MIT Develops Chip That Makes AI Work Faster, But Uses Less Power

Image credit – Chelsea Turner/MITIn 2017 when Apple launched the new iPhones, they also introduced the new A11 Bionic chipset. This is the latest chipset for iPhones and while it comes ...

Wed 14 Feb 18 from Ubergizmo

MIT has a new chip to make AI faster and more efficient on smartphones

Just one day after MIT revealed that some of its researchers had created a super low-power chip to handle encryption, the institute is back with a neural network chip that reduces power ...

Wed 14 Feb 18 from Engadget

Neural networks everywhere

Thu 15 Feb 18 from Science Blog

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