In a lab rack that looks more like a high-end audio system than a server, clusters of human brain cells are quietly learning ...

Scientists are building experimental computers from living human brain cells and testing how they learn and adapt.

The technology is still in its infancy. But its trajectory suggests that ethical conversations may become pressing far sooner than expected. These “biocomputers” are still in their early days. They ...

In a groundbreaking achievement, scientists have developed the world’s pioneer “living computer” made entirely of cells. This revolutionary invention has the potential to reshape what we perceive as ...

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 ...

The blending of biological and artificial “computing” is a topic that stretches back to the 1940s and 50s. Now, Cortical Labs has successfully developed a brain-on-a-chip computer primarily designed ...

On a warm Melbourne day late last year, hundreds of thousands of live human brain cells sat inside a box on a table in Brunswick. While the neurons were too small to see with the naked eye, Brett ...

The potential for these kinds of machines to reshape computer processing, increase energy efficiency, and revolutionize medical testing has scientists excited. But when do we consider these cells to ...

Neuralink eyes 2026 for mass production of its brain implants. Elon Musk reveals plans for high-volume manufacturing ...

Researchers have demonstrated that brain cells learn faster and carry out complex networking more effectively than machine learning by comparing how both a Synthetic Biological Intelligence (SBI) ...

MIT researchers say they've developed microscopic "circulatronics" technology that could one day provide noninvasive brain ...

Source: Via Tenor The human brain has been described as the most complex structure in the universe (Dolan, 2007; see also Pang, 2023). Researchers estimate that we have over 100 trillion connections ...