This research develops a brain-inspired optical imaging system that mimics human vision to reconstruct objects hidden by fog, smoke, and biological tissue. Combining event-based cameras, spiking neural networks, and neuromorphic processors, it enables fast, energy-efficient imaging with applications in autonomous vehicles, emergency response, and non-invasive medical diagnostics.

This research develops brain-inspired computer chips using memristors, devices that can store and process information simultaneously like biological synapses. By enabling in-memory computing, the technology reduces energy consumption while supporting applications such as autonomous robots and image processing. The work advances efficient hardware for future artificial intelligence systems.