A biological computer using human neurons learns Doom within 1 week, highlighting rapid adaptive learning and potential advantages over traditional AI systems.

TL;DR: Research in both biocomputing and neuromorphic computing may hold the key to better computer energy efficiency. By drawing inspiration from nature's own efficient systems, such as the human ...

Researchers in Japan have trained rat neurons to perform real-time machine learning tasks, moving computing into biological territory. The system uses cultured neurons connected to hardware to ...

Australian researchers are turning to nature for the next computing revolution, harnessing living cells and biological systems as potential replacements for traditional silicon chips. A new paper from ...

The systems use around 200,000 neurons grown from human stem cells, mounted on arrays of thousands of electrodes ...

July 10, 2024 — The U.S. Department of Energy’s Advanced Scientific Computing Research (ASCR) program has announced a Monday July 22 deadline (11:59 pm ET) for position papers for a workship on ...

Silicon-based artificial intelligence has come a very long way in a very short space of time, driving massive advances in the large language models that sit at the heart of today’s generative AI ...