Scientists have successfully connected living human brain cells to a computer system and taught them to interact with the classic video game DOOM. The strange experiment marks a new step toward ...

Biological computing is messy and gassy – It’s now cloudy, too At the start of the working day at Cortical Labs’ datacenter in Melbourne, Australia, technicians top up the resident computers with a ...

Australian biological computing startup Cortical Labs has unveiled a biological data center prototype in Melbourne. The facility has been designed to process information using what the company calls ...

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 ...

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 ...

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 ...

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 ...

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 ...

DayOne will trial wetware computing with Cortical Labs and NUS, while BDx implements IMDA’s tropical data centre standard to cut cooling demand.

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 ...