Professor Jalali and his students Ata Mahjoubfar and Claire Chen have published a book that details the world’s fastest and most accurate AI-powered microscope for identification of biological cells. Used with a microfluidics chip, the microscope has proven applications in cancer detection and renewable energy. The book is published by Springer and can be obtained as an ebook or a hardcover here.
Recent Posts
- RF Communication and Sensing in Harsh Environments
- Jalali-Lab Delivered a Successful Academic Lecture on PhyCV at Qualcomm
- Jalali Lab Open-Sources VEViD for Realtime Low-Light Enhancement of High Resolution Video
- Introducing VEViD: Realtime Low-Light Enhancement Algorithm Inspired by Physics
- “Physics-AI Symbiosis”: How Physics and Artificial Intelligence Converge
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