Researchers at Princeton University have developed a hybrid biocomputing platform that combines living brain cells with flexible electronics.
The system marks a step toward closer integration between artificial intelligence and biological systems.
The device, called 3D-MIND, embeds groups of living neurons within a three-dimensional electronic scaffold designed to support communication between biological tissue and computing hardware.
The researchers say the system could help advance brain-inspired computing, offering a new approach to AI systems that more closely mimic the structure and function of the human brain.
“The real bottleneck for AI in the near future is energy. Our brain consumes only a tiny fraction — about one millionth — of the power consumed by today’s AI systems to perform similar tasks,” said Tian-Ming Fu, associated faculty in the Princeton Neuroscience Institute, in a statement.
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