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 ...

Gaming Industry Tech investor declares 'AI games are going to be amazing,' posts an AI-generated 'demo' of a god-awful shooter as proof AI Microsoft's head of AI doesn't understand why people don't ...

Californian and Israeli researchers have created a biological computer -- a machine made from biological molecules -- that successfully decoded two images stored and encrypted within DNA. Share on ...

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

Biological computing startup Cortical Labs has launched CL1, what it is calling the world’s first commercial biological computer. The technology combines “lab-cultivated neurons from human stem cells” ...

Last year, Monash University scientists created the "DishBrain" – a semi-biological computer chip with some 800,000 human and mouse brain cells lab-grown into its electrodes. Demonstrating something ...

Bioengineers at Stanford University have created the first biological transistor made from genetic materials: DNA and RNA. Dubbed the "transcriptor," this biological transistor is the final component ...

I cover billionaires and startup founders in Asia. “Werner told us the biggest cost out of any data center or cloud provider is the energy that they pay for running the equipment and cooling the ...

Scientists from the Spanish National Cancer Research Centre (CNIO), led by Guillermo Montoya, have developed a method for producing biological crystals that has allowed scientists to observe —for the ...

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 ...