Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Abstract: Recently, the autonomous driving technology is at a critical phase evolving from typical, closed scenarios to large-scale, open driving scenarios, which is challenged by the diversity and ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its ...