MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...

Rebecca Qian is the Co-Founder and CTO of Patronus AI, with nearly a decade of experience building production machine ...

Researchers in the US developed bipedal robots with a new design, the HybridLeg platform, ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack ...

The Rho-alpha model incorporates sensor modalities such as tactile feedback and is trained with human guidance, says ...

Institutional memory loss explains why so many AI debates feel stuck on repeat. The same hopes, fears, and technical arguments resurface because the field has not fully absorbed its own history. Until ...

Request To Download Free Sample of This Strategic Report @- The global reinforcement learning market is experiencing a period of rapid growth, with revenue estimated to increase from approximately $3 ...

Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

District leaders said the decision comes after reviewing research showing homework does not significantly improve academic ...

For decades, dopamine has been celebrated in neuroscience as the quintessential "reward molecule"—a chemical herald of ...

AI hallucinations produce confident but false outputs, undermining AI accuracy. Learn how generative AI risks arise and ways to improve reliability.