Laser Printing of a Nano-Imager to Perform Full Optical Machine Learning
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Applications of artificial intelligence techniques, specifically machine learning and more recently deep learning [1], are transforming several fields ranging from clinical medicine to optical computing. Integrating full-optical neuromorphic architectures in opto-electronic devices (Fig. 1a) will lead to the near-term availability of clinically and industrially relevant applications such as real-time features detection and classification, image processing and optical implementation of computational intensive tasks such as matrix multiplication with low-power consumption, high-accuracy and ultra-fast processing speed [2].
[1] Yi Luo,et al. All-optical machine learning using diffractive deep neural networks , 2018, Science.
[2] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[3] Min Gu,et al. Miniature chiral beamsplitter based on gyroid photonic crystals , 2013, Nature Photonics.