A new digital system allows operations on a chip to run in parallel, so an AI program can arrive at the best possible answer ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors. Pixabay, ...

Engineers are starting to build hardware that does not just run artificial intelligence, it behaves like a primitive form of ...

Research into alternative computer architectures is getting a new boost thanks to work by Sandia National Laboratories.

A December 10–12 working group met to bring together researchers from two fields — neuromorphic computing and stochastic ...

An integrated spiking artificial neuron, with rich neuron functionality, single-transistor footprints, and low energy consumption for neuromorphic computing systems, can be created by stacking one ...

Joseph Friedman, associate professor of electrical and computer engineering at the University of Texas at Dallas, uses a probe station to test small neuromorphic devices. Friedman has developed a ...

New research from Sandia National Laboratories suggests that brain-inspired neuromorphic computers are just as adept at ...

Modern computers struggle to match the efficiency of the human brain. Even recognizing handwritten digits can consume significant energy, largely ...

Khalifa University is building the foundation for a smarter, more secure and more connected world, one silicon chip at a time. In the rapidly evolving world of artificial intelligence and smart ...

Tiny molecules that can think, remember, and learn may be the missing link between electronics and the brain. For more than ...