Scientists have taken a major step toward mimicking nature’s tiniest gateways by creating ultra-small pores that rival the dimensions of biological ion channels—just a few atoms wide. The breakthrough ...

Hai “Helen” Li studies neuromorphic computing and AI hardware from a design and computer architecture perspective.

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

Scientists demonstrate neuromorphic computing utilizing perovskite microcavity exciton polaritons operating at room temperature. (Nanowerk News) Neuromorphic computing, inspired by the human brain, is ...

The Global Neuromorphic Computing & Sensing Market 2026-2036 report unveils new frontiers in AI hardware, spotlighting brain-inspired processing technologies that offer unprecedented energy efficiency ...

Brain-inspired computing promises cheaper, faster, more energy efficient processing, according to experts at a Beijing conference, who discussed everything from reverse engineering insect brains to ...

Neuromorphic computing aims to replicate the functional architecture of the human brain by integrating electronic components that mimic synaptic and neuronal behaviours. Central to this endeavour are ...

Your brain calculates complex physics every day and you don't even notice. This neuromorphic chip taps into the same idea.

The transformative power of computing, driven by advances in microelectronics and silicon-based transistors, has reshaped our world and economy. As we approach the physical limits of these ...

Neuromorphic computing, inspired by the brain, integrates memory and processing to drastically reduce power consumption compared to traditional CPUs and GPUs, making AI at the network edge more ...

Indian American scientist democratizes brain-inspired hardware at Texas university to accelerate sustainable artificial intelligence research ...

The NeuRRAM chip is not only twice as energy efficient as state-of-the-art, it's also versatile and delivers results that are just as accurate as conventional digital chips. Neuromorphic computing—a ...