As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...
A team at University of Massachusetts Amherst developed artificial neurons that fire in the same voltage range as living ...
Scientists demonstrate neuromorphic computing utilizing perovskite microcavity exciton polaritons operating at room temperature. (Nanowerk News) Neuromorphic computing, inspired by the human brain, is ...
The first time I witnessed a child stack blocks, I felt like I was watching a miniature computer learn. She didn't plan the tower, she felt for balance - nudged a cube this way, nudged a cube that way ...
For how powerful today’s “smart” devices are, they’re not that good at working smarter rather than working harder. With AI constantly connected to the cloud and the chip constantly processing tasks ...
Some heavy hitters like Intel, IBM, and Google along with a growing number of smaller startups for the past couple of decades have been pushing the development of neuromorphic computing, hardware that ...
As the name suggests, neuromorphic computing uses a model that's inspired by the workings of the brain. The brain makes a really appealing model for computing: unlike most supercomputers, which fill ...
Intel certainly has a lot of irons in the AI fireplace, including Xeon CPUs, Movidius computer vision chips, MobileEye chips for autonomous driving and Deep Neural Network training and inference ...
This article is part of the Technology Insight series, made possible with funding from Intel. Ten years ago, the question was whether software and hardware could be made to work more like a biological ...
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