Morning Overview on MSN
This 'living' computer blurs the line between brains and machines
In a lab rack that looks more like a high-end audio system than a server, clusters of human brain cells are quietly learning ...
ZME Science on MSN
The World’s Strangest Computer Is Alive and It Blurs the Line Between Brains and Machines
Scientists are building experimental computers from living human brain cells and testing how they learn and adapt.
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 ...
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 ...
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 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 ...
Morning Overview on MSN
Scientists say the brain has a hidden language we didn’t see before
Neuroscientists have long listened to the brain’s electrical spikes, but those loud crackles are only the final output of a ...
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 ...
MIT researchers say they've developed microscopic "circulatronics" technology that could one day provide noninvasive brain ...
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) ...
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 ...
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