Advances in AI models and computing power are bringing human-like intelligence closer than ever. A multi-trillion-dollar buildout in GPUs, data centers, and power systems will likely drive the next AI ...

A breakthrough in neuromorphic computing could lower the energy consumption of chips and accelerate progress toward artificial general intelligence (AGI). Researchers from the USC Viterbi School of En ...

In the future, a new type of computer may be able to learn much like you do—by experience rather than endless repetition or ...

By borrowing ideas from the brain, UT Dallas researchers have created hardware that learns on its own with minimal energy use ...

Scientists developed memristors for data storage out of common mushrooms, taking a major step forward in organic computing.

Artificial neurons that mimic real brain cells using ion-based signals instead of electrons—promising ultra-efficient, ...

USC scientists design brain-like neurons that learn in hardware, not software, paving the way for energy-efficient AI general ...

Tiny brain-like organoids are emerging as living computers with vast potential to transform healthcare, data processing, and ...

Researchers at the USC Viterbi School of Engineering and School of Advanced Computing have developed artificial neurons that ...

Could computers ever learn more like humans do, without relying on artificial intelligence (AI) systems that must undergo ...

The computer Neogenint BIE-1 is intended to process large AI models, but also to be compact, quiet, and economical enough for ...