Penn Engineers have developed the first programmable chip that can train nonlinear neural networks using light—a breakthrough ...

Penn Engineers have developed the first programmable chip that can train nonlinear neural networks using light — a breakthrough that could dramatically speed up AI training, reduce energy use and even ...

The 'Ironwood' chip marks a major shift in focus for Google, as performance and efficiency are taking a backseat.

Its Bionode chips have already been deployed ... “We can encode images into a biological network, let neurons process them, and then decode the neural response to improve classification accuracy.” ...

Examples like Intel's Loihi chips tend to get competitive performance out of far lower clock speeds and energy use, but they ...

For now, the company is selling the device as a way to train "biological AI," meaning neural networks that rely on actual neurons. In other words, the neurons can be "taught" via the silicon chip.

Neural networks are one typical structure on which artificial intelligence can be based. The term "neural" describes their ...

The functioning of cells is supported by the built-in life support system. According to the developers, neural networks based on a silicon chip can develop and evolve like a living organism. Such a ...