DeepSeek’s latest training research arrives at a moment when the cost of building frontier models is starting to choke off ...

Imagine trying to teach a child how to solve a tricky math problem. You might start by showing them examples, guiding them step by step, and encouraging them to think critically about their approach.

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

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Deep Reinforcement Learning (DRL) is a subfield of machine learning that combines neural networks with reinforcement learning techniques to make decisions in complex environments. It has been applied ...

Overview Rapid innovation is reshaping the IT landscape - compelling professionals to learn high‑demand skills in cloud computing, AI, cybersecurity, and data s ...

Nearly a century ago, psychologist B.F. Skinner pioneered a controversial school of thought, behaviorism, to explain human and animal behavior. Behaviorism directly inspired modern reinforcement ...

Researchers have developed a novel framework, termed PDJA (Perception–Decision Joint Attack), that leverages artificial ...

Reinforcement learning is a subfield of machine learning concerned with how an intelligent agent can learn through trial and error to make optimal decisions in its ...