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Modern neural networks mostly use linear operations like convolutions and matrix-vector multiplications. Although there are specialist processors for these tasks, like as GPUs and TPUs, their power and bandwidth are limited.
In the field of engineering and materials science, the identification of concealed structures or imperfections within materials is of paramount importance.
Researchers led by UCLA professor Aydogan Ozcan developed a deep learning-enabled biosensor for multiplexed, point-of-care (POC) testing of disease bi
UCLA researchers led by Aydogan Ozcan and Mona Jarrahi have developed a multispectral imaging technology capable of turning a monochrome sensor into a
Using a cascaded deep neural network structure, a UCLA research group led by professor Aydogan Ozcan developed a computational approach for chemical-f