Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

Reinforcement learning frames trading as a sequential decision-making problem, where an agent observes market conditions, ...

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

By the time Carnegie Mellon University (CMU) researcher Hans Moravec published his seminal book on robotics “Mind Children” ...

Aran Nayebi jokes that his robot vacuum has a bigger brain than his two cats. But while the vacuum can only follow a preset ...

Which IIT First introduced B.Tech in Artificial Intelligence? Discover how this IIT changed engineering careers, and how it ...

Google is hiring a Senior Staff Software Engineer, AI/ML to design, develop, and deploy AI-driven applications and platforms. The role focuses on building scala ...

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.

As CES 2026 approaches, one robotics debut is already standing out for its focus on real-world problems rather than ...

Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...

Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...