On August 19th, we celebrated the milestone of our 2007 article in Nature Photonics, which marked the debut of the dielectric RF receiver. The pioneering RF receiver incorporates a ceramic RF antenna with an electrooptic sensor. The absence of any metal or electronic...
Professor Bahram Jalali along with the Ph.D. students Yiming Zhou and Callen MacPhee delivered a successful academic lecture on PhyCV at Qualcomm entitled “Low-complexity image processing algorithm for Autonomous Driving using Physics-AI Symbiosis”...
We are happy to announce the release of our new physics-inspired low-light image enhancement algorithm VEViD to PhyCV. VEViD, or Vision Enhancement via Virtual Diffraction and Coherent Detection, was recently introduced in a publication in eLight. The algorithm...
We are proud to introduce a powerful low-light enhancement algorithm, VEViD. It builds on more than two decades of research in optical physics in our laboratory and has direct applications in augmented reality, night-time driving, biology, and space exploration. The...
Check out our latest publication entitled “Physics-AI Symbiosis” that just appeared as an invited paper in Machine Learning: Science and Technology! As a mix of perspective and review, the paper explores emerging ideas in which physics is blended with AI...
We are happy to announce the release of the first Physics-inspired Computer Vision Library: PhyCV. PhyCV has a new class of computer vision algorithms that emulates the propagation of light through a physical medium with natural and engineered diffractive properties...
