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 ...

Sandia National Labs today released an update on its neuromorphic computing research. Inspired by the architecture of the ...

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

A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...

(Nanowerk Spotlight) Computing systems have made impressive progress, but they still fall short when compared to the human brain’s energy efficiency and adaptability. Biological neurons handle complex ...

So-called neuromorphic computing involves the use of physical artificial neurons to do computing in a way that is inspired by the human brain. With photonic neuromorphic computing these artificial ...

What are spiking neural networks (SNNs)? Why neuromorphic computing is important. How BrainChip’s Akida platform brings neuromorphic computing to embedded applications. Artificial intelligence and ...

Scientists are exploring fungi, specifically mushrooms, to create more efficient and adaptable computers. Unlike rigid ...

Image is a microphotograph of the fabricated test circuit. Continuous single flux quantum signals are produced by the clock generators at frequencies ranging from approximately 10 GHz to 40 GHz. Each ...