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January 24, 2024
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.
November 7, 2023
In the field of engineering and materials science, the identification of concealed structures or imperfections within materials is of paramount importance.
May 11, 2023
Researchers led by UCLA professor Aydogan Ozcan developed a deep learning-enabled biosensor for multiplexed, point-of-care (POC) testing of disease bi
April 10, 2023
UCLA researchers led by Aydogan Ozcan and Mona Jarrahi have developed a multispectral imaging technology capable of turning a monochrome sensor into a
September 19, 2022
Using a cascaded deep neural network structure, a UCLA research group led by professor Aydogan Ozcan developed a computational approach for chemical-f
May 25, 2022
A team of researchers led by Aydogan Ozcan from the Electrical and Computer Engineering Department and California Nanosystems Institute at UCLA has de