Optical computing and artificial intelligence

IF 32.3 1区物理与天体物理 Q1 OPTICS

Nature Photonics Pub Date : 2024-12-02 DOI:10.1038/s41566-024-01582-0

David Pile

引用次数: 0

Abstract

Light-based processing and machine learning featured heavily in San Diego at the 2024 SPIE Optics + Photonics conference. Enthusiasm was coupled with questions related to the real-world applicability and the merits of linear vs non-linear, and all-optical vs hybrid, approaches.

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来源期刊

Nature Photonics 物理-光学

CiteScore

54.20

自引率

1.70%

发文量

158

审稿时长

12 months

期刊介绍： Nature Photonics is a monthly journal dedicated to the scientific study and application of light, known as Photonics. It publishes top-quality, peer-reviewed research across all areas of light generation, manipulation, and detection. The journal encompasses research into the fundamental properties of light and its interactions with matter, as well as the latest developments in optoelectronic devices and emerging photonics applications. Topics covered include lasers, LEDs, imaging, detectors, optoelectronic devices, quantum optics, biophotonics, optical data storage, spectroscopy, fiber optics, solar energy, displays, terahertz technology, nonlinear optics, plasmonics, nanophotonics, and X-rays. In addition to research papers and review articles summarizing scientific findings in optoelectronics, Nature Photonics also features News and Views pieces and research highlights. It uniquely includes articles on the business aspects of the industry, such as technology commercialization and market analysis, offering a comprehensive perspective on the field.