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.

Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and ...

The study, titled Reinforcement Learning for Monetary Policy Under Macroeconomic Uncertainty: Analyzing Tabular and Function ...

Although fog computing reduces cloud computing latency for time-sensitive applications, suboptimal fog infrastructure and task allocation approaches are unlikely to meet stringent low-latency ...