Large Language Models (LLMs) have significantly advanced natural language processing (NLP), excelling at text generation, translation, and summarization tasks. However, their ability to engage in ...

Boston Dynamics released a research version of its Spot quadruped robot, which comes with a low-level application programming interface (API) that allows direct control of Spot’s joints. Even back ...

Machine learning is transforming the control of particle accelerators, enabling "autonomous driving" for these complex systems. Researchers from the Institute of Modern Physics and Xiamen University ...

OpenAI's o3 model wins gold at IOI, surpassing human benchmarks and redefining AI coding capabilities. These groundbreaking ...

Autonomous yard operations leader Outrider recently announced an industry-first deployment of advanced reinforcement learning (RL) techniques across its customer sites.

Adolphi, C. and Sosonkina, M. (2025) Machine Learning and Simulation Techniques for Detecting Buoy Types from LiDAR Data.

AI agents perceive their environment, make decisions, and take action, while agentic AI operates with greater autonomy, proactiveness, and adaptability. It improves traditional AI by ...

Boston Dynamics Wednesday announced a partnership designed to bring improved reinforcement learning to its electric Atlas humanoid robot. The tie-up is with the Robotics & AI Institute (RAI ...

Abstract: Autonomous vehicles trained through multiagent reinforcement learning (MARL) have shown impressive results in many driving scenarios. However, the performance of these trained policies can ...

New study predicts 15 million new Chinese cars will have autonomous tech Affordable models will be capable of SAE Level 2 self-driving China looks set to fast-track autonomous vehicles A new study ...