A (NRL) research team successfully conducted the first reinforcement learning (RL) control of a free-flyer in space on May 27 ...

ChatGPT and other AI tools are upending our digital lives, but our AI interactions are about to get physical. Humanoid robots trained with a particular type of AI to sense and react to their world ...

This system utilizes machine learning algorithms to optimize the operation of particle accelerators, reducing manual intervention and enhancing precision in real-time control. By integrating virtual ...

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 ...

SAN FRANCISCO, Oct. 06, 2025 (GLOBE NEWSWIRE) -- MasterQuant, one of the leading quantitative investment platforms, has ...

Artificial intelligence is revolutionising quantitative finance, enabling smarter trading through advanced models, feature ...

The proposed UAV platform incorporates brushless direct current (BLDC) motors, high-density lithium-polymer batteries, and ...

Post-training of large language models has long been clearly divided into two paradigms: supervised fine-tuning (SFT) centered on imitation and reinforcement learning (RL) driven by exploration.