TURIN, Italy, January 28, 2026--(BUSINESS WIRE)--Reply [EXM, STAR: REY] today announced the start of a collaboration with the Department of Pathophysiology and Transplantation of the University of ...

Looking to fly brains for organoid cytomorphic intelligence, may make them play Ms. Pac-Man and put them in smelling drones ...

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 ...

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 ...

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, ...

Under DOE’s Integrated Research Infrastructure initiative, Frontier will provide high-speed analysis for LCLS-II’s structural biology data output Plans to unite the capabilities of two cutting-edge ...

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 ...

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 ...

Rice University biosciences professor Matthew Bennett has received a $1.99 million grant from the National Science Foundation. The project highlights the growing potential of synthetic biology, where ...

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 ...