How human neurons on a chip learned to play Doom

"Cortical Labs's chief scientific officer, Brett Kagan, describes the neurons as exhibiting adaptive, real-time goal-directed learning, marking a potential inflection point in technology."

"Neurons can perform some calculations far more efficiently than microchips, suggesting new approaches to computing and testing neurological drugs."

"The interface relies on electricity, which serves as the shared language between biology and silicon, allowing for interaction between the neurons and the silicon chip."

"Each computing unit can house about 800,000 neurons in a self-contained life-support system that can keep them alive for up to six months."

Cortical Labs showcased 200,000 living human neurons on a silicon chip playing the video game Doom, exhibiting adaptive, real-time goal-directed learning. This development could revolutionize computing, as neurons may perform certain calculations more efficiently than traditional microchips. The neurons are derived from stem cells, allowing for an indefinite supply. Each computing unit can sustain 800,000 neurons for up to six months. The interface uses electrical pulses to communicate with the neurons, although achieving purposeful activity from cells remains challenging.

Read at www.scientificamerican.com