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 ...

Biological neurons are significantly more stable and efficient than traditional reinforcement learning systems. Ethical concerns arise from creating conscious systems due to the potential for ...

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 ...

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 ...

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, ...

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 ...