Today, we’re joined by Aydogan Ozcan, Professor of Electrical and Computer Engineering at UCLA, where his research group focuses on photonics and its applications to nano- and biotechnology.
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In our conversation, we explore his group’s research into the intersection of deep learning and optics, holography and computational imaging. We specifically look at a really interesting project to create all-optical neural networks which work based on diffraction, where the printed pixels of the network are analogous to neurons. We also explore some of the practical applications for their research and other areas of interest for their group.
Mentioned in the Interview
- Paper: All-Optical Machine Learning Using Diffractive Deep Neural Networks
- The Ozcan Research Group
- The Ozcan Research Group Projects
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“More On That Later” by Lee Rosevere licensed under CC By 4.0