JOEL WILLIAMS, ASSOCIATE EDITOR [email protected]JAKE SALTZMAN, NEWS EDITOR [email protected]A single-pixel machine vision framework leverages deep-learning designed optical networks to bypass the need for an image sensor-array or digital processor. The system, developed in the lab of UCLA Chancellor’s Professor Aydogan Ozcan, paves the way for tackling certain challenges that are beyond the capabilities of current imaging and machine learning technologies. Most machine vision systems used today use a lens-based camera that sends information to a digital processor that performs machine learning tasks. 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