March 4, 2024, 4:09 p.m. | Charles Q. Choi

IEEE Spectrum spectrum.ieee.org



A microchip that uses light instead of electricity can potentially be faster and more energy-efficient at the complex computations essential to training AI than conventional electronics. In addition, researchers say the new chips may be significantly more secure against hacking.

AI typically relies on neural networks in applications such as analyzing medical scans and supporting autonomous vehicles. In these systems, components known as neurons are fed data and cooperate to solve a problem, such as recognizing faces.

As neural networks …

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