Computing ecosystems are changing dramatically. AI, quantum computing, exascale supercomputers, biological DNA, chemical and ...

Reply and the University of Milan Launch Experimental Research on Biological Computing Based on Cortical Labs’ CL1 Platform Reply [EXM, STAR: REY] today announced the start of a collaboration with the ...

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 ...

Researchers at the National Science Foundation (NSF) are studying the potential to harness the computer skills of tiny groups of biological cells known as organoids. Brains, whether human or animal, ...

Funding accelerates deployment of biological computing systems as co-founders open flagship San Francisco lab SAN FRANCISCO, Feb. 12, 2026 /PRNewswire/ -- The Biological Computing Co. (TBC), the ...

The most powerful computer might one day be made of living cells instead of silicon and wires. A new project at Rice University in Texas is working to make that vision a reality. With a $1.99 million ...

Graphics processing units (GPUs), the expensive computer chips made by companies like Nvidia, AMD, and Sima.ai, are no longer the only way to train and deploy artificial intelligence. Biological Black ...

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 ...

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 ...

TURIN, Italy--(BUSINESS WIRE)--Reply [EXM, STAR: REY] today announced the start of a collaboration with the Department of Pathophysiology and Transplantation of the University of Milan, together with ...

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 ...