In a new paper in Science, researchers in the lab of Prof. Fengnian Xia in Electrical Engineering introduce a new concept called “Geometric Optical Deep Sensing” for sensing and imaging. This concept leverages innovations in device technology, condensed matter physics and deep learning to move away from hardware-oriented approaches to software-oriented ones. Shaofan Yuan, a former Ph.D. student in Xia’s lab and co-lead author of the paper, noted that conventional optical sensing requires multiple optical devices to fully capture the unknown properties of the light beam, which makes for a bulky and expensive system. This new concept has the potential to make optical sensing devices compact and multifunctional, and future optical sensing technologies will benefit from innovations in device structures, demonstration, and machine learning algorithms.
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