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 ...

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 ...

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 ...

In an era where AI systems are rapidly scaling beyond the limits of traditional silicon, new experimental companies are ...

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 ...

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 ...

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, ...

A group of researchers have already grown brain cells on silicon chips and then taught them to perform tasks. This merging of artificial intelligence and synthetic biology opens a new realm of ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Biological computing, a field in which living human neurons interface with silicon hardware, is progressing from proof of concept to early functional systems, with broad implications for computing ...

The SLAC-ORNL data portal, assembled under DOE's Integrated Research Infrastructure initiative, will enable data processing, reprocessing, and large-scale multimodal studies between DOE facilities.