Free educational YouTube channel delivers half a million hours of learning to children worldwide We wanted to create ...

Today's AI agents don't meet the definition of true agents. Key missing elements are reinforcement learning and complex memory. It will take at least five years to get AI agents where they need to be.

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...

The rapid evolution of modern electric power distribution systems into complex networks of interconnected active devices, distributed generation (DG), and storage poses increasing difficulties for ...

AgiBot announced a key milestone this week with the successful deployment of its Real-World Reinforcement Learning system in a manufacturing pilot with Longcheer Technology. The pilot project marks ...

Reinforcement learning (RL) is machine learning (ML) in which the learning system adjusts its behavior to maximize the amount of reward and minimize the amount of punishment it receives over time ...

[06/25/2025] 🎉 Support thread env for env scaling and support qwen2.5 VL agentic pipeline. [06/13/2025] 🎉 Support Qwen2.5 VL rlvr pipeline and upgrade mcore to 0.12 version. [06/09/2025] 🎉 ROLL ...

AI coding tools are getting better fast. If you don’t work in code, it can be hard to notice how much things are changing, but GPT-5 and Gemini 2.5 have made a whole new set of developer tricks ...

Large Language Models (LLMs), particularly slow-thinking models, often exhibit severe hallucinations due to an inability to accurately recognize their knowledge boundaries. To address this, we propose ...

The age of truly autonomous artificial intelligence, where systems proactively learn, adapt and optimize amid real-world complexities instead of simply reacting, has been a long-held aspiration. Now, ...