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 ...

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 ...

By replicating key aspects of DeepSeek R1’s reinforcement learning technology for less than $30, they have demonstrated that advanced reasoning capabilities can emerge in small, cost-efficient ...

“We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT ...