Can Machine Learning Overcome Absence of Lens?

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Researches from University of Utah at Salt Lake City proved that AI can be somewhat successful in distinguishing between the digits as seen by image sensor with no lens. "Lensless-camera based machine learning for image classification" paper by Ganghun Kim, Stefan Kapetanovic, Rachael Palmer, and Rajesh Menon is published by arxiv.org. From the abstract:

"Finally, we demonstrated that the trained ML algorithm is able to classify the digits with accuracy as high as 99% for 2 digits. Our approach clearly demonstrates the potential for non-human cameras in machine-based decision-making scenarios."

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