The researchers behind the recent work, based in China, decided to implement something similar for an artificial skin that ...

Robots are starting to gain something that looks a lot like a sense of touch, and in some cases even a crude version of pain.

New research illustrates neuromorphic technology is up to sixteen times more energy-efficient for large deep learning networks than other AI systems. For the first time TU Graz's Institute of ...

While there are not many neuromorphic hardware makers, those on the market (or in the research device sphere) are still looking for ways to run more mainstream workloads. The architecture is aligned ...

Inspired by human brain, neuromorphic computing technologies have made important breakthroughs in recent years as alternatives to overcome the power and latency shortfalls of traditional digital ...

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A technical paper titled “3D Neuromorphic Hardware with Single Thin-Film Transistor Synapses Over Single Thin-Body Transistor Neurons by Monolithic Vertical Integration” was published by researchers ...

Researchers fabricated a brain-inspired highly scalable neuromorphic hardware by co-integrating single transistor neurons and synapses. Using standard silicon complementary metal-oxide-semiconductor ...

A new technical paper titled “Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies” was published by researchers at Univ. Lyon, Ecole Centrale ...

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 ...

(Nanowerk News) For the first time TU Graz’s Institute of Theoretical Computer Science and Intel Labs demonstrated experimentally that a large neural network can process sequences such as sentences ...