☆ 4.8 Editorial Material

Artificial intelligence accelerated by light

NATURE (2021)

Parallel convolutional processing using an integrated photonic tensor core

J. Feldmann et al.

Summary: With the advancement of technology, the demand for fast processing of large amounts of data is increasing, making highly parallelized, fast, and scalable hardware crucial. The integration of photonics can serve as the optical analogue of an application-specific integrated circuit, enabling photonic in-memory computing and efficient computational hardware.

NATURE (2021)

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Article Multidisciplinary Sciences

11 TOPS photonic convolutional accelerator for optical neural networks

Xingyuan Xu et al.

Summary: Inspired by biological visual cortex systems, convolutional neural networks extract hierarchical features of raw data, reducing parameter complexity and improving prediction accuracy. Optical neural networks promise faster computing using broad optical bandwidths, with optical vector convolutional accelerators demonstrating efficient image processing capabilities.

NATURE (2021)

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Review Nanoscience & Nanotechnology