Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...

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

For more than 50 years, scientists have sought alternatives to silicon for building molecular electronics. The vision was ...

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.

Wolfram-like attention framing meets spiking networks: event-triggered, energy-thrifty AI that “wakes” to stimuli.

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 ...

(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 ...

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 ...

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