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

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 ...

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 ...

In a groundbreaking leap forward for technology, Cortical Labs has unveiled the CL1, the world’s first commercial biological computer powered by living human brain cells. This revolutionary ...

Sustained progress across all areas of science and technology over the last half-century has transformed the expectations of society in many ways. Yet, even in this context of extraordinary advances, ...

Forbes contributors publish independent expert analyses and insights. Journalist, analyst, author, podcaster. The world’s first “code-deployable” biological computer is now for sale. The Cortical Labs ...

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 ...

Scientists have trained a computer made from living human neurons to play the classic video game Doom, marking a strange but important step forward in biological computing. Researchers at Australian ...

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 ...

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 ...