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.
Tech Xplore on MSN
How scientists are growing computers from human brain cells—and why they want to keep doing it
As prominent artificial intelligence (AI) researchers eye limits to the current phase of the technology, a different approach is gaining attention: using living human brain cells as computational ...
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 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 ...
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) ...
The achievements and discoveries in science and technology have not only profoundly reshaped how we live but also given us the confidence to confront challenges and embrace the future. Science and ...
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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