Overview:  Explore the leading Physical AI development platforms used for robot simulation, reinforcement learning, synthetic ...

DeepReinforce today released Ornith-1.0, a family of open-source coding models built around a mechanism most RL-trained agents avoid: the model itself writes the training harness that guides its own ...

Nvidia has released ENPIRE, a framework that lets AI coding agents run the full loop of teaching robots new skills with no ...

Across Africa, a new generation of policy oriented technologists is beginning to redefine the relationship between governance, economic development, clean energy transition, and Artificial ...

Physical artificial intelligence (PAI) development kits for humanoid robotics range from high-end, industrial-grade platforms ...

NVIDIA launches high-performance, energy-efficient NVIDIA Vera CPUs to drive diverse workloads across industries, including agentic ...

Anysphere, the developer of the AI code editor 'Cursor,' has announced a new model for its coding agent, 'Composer 2.5.' Composer 2.5 is available on Cursor and is said to be significantly improved ...

Sichkar V. N. "Reinforcement Learning Algorithms in Global Path Planning for Mobile Robot", 2019 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), Sochi, ...

Abstract: This study proposes a novel two-stage framework that integrates Digital Twin (DT) with Reinforcement Learning (RL) for failure prediction in optical communication networks. The framework ...

Most enterprise RAG pipelines are optimized for one search behavior. They fail silently on the others. A model trained to synthesize cross-document reports handles constraint-driven entity search ...

Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and decision-making systems across industries. Modern RL ...