Photonic computing needs more nonlinearity: Acoustics can help

A schematic representation of how an optoacoustic activation function can be employed between layers n − 1 and n + 1 of an all-optical multi-frequency neural network. Credit: Nanophotonics (2025). DOI: 10.1515/nanoph-2024-0513 Neural networks are one typical structure on which artificial intelligence can be based. The term “neural” describes their …

Engineers create photonic switch that overcomes routing size–speed tradeoffs

Some of the equipment used by the Feng Group for transmitting light. Credit: Bella Ciervo Every second, terabytes of data—the equivalent of downloading thousands upon thousands of movies at once—travel around the world as light in fiber-optic cables, like so many cars packed onto a super-fast highway. When that information …

Photonic processor could enable ultrafast AI computations with extreme energy efficiency | MIT News

The deep neural network models that power today’s most demanding machine-learning applications have grown so large and complex that they are pushing the limits of traditional electronic computing hardware. Photonic hardware, which can perform machine-learning computations with light, offers a faster and more energy-efficient alternative. However, there are some types …

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