Box ManipulationIn the history of artificial intelligence and machine learning, the determination of internal parameters ...

Explore Quantum Optics with OpenLearnity’s new MOOC, introducing the quantum theory of light and its interaction with matter.

MIT CSAIL's "weight-space programming" has a frontier LLM read and edit neural network weights directly, with no gradient descent. Surgical edits ended Qwen's reasoning loops, but the results come ...

In this tutorial you will go through the full Human-in-the-Loop Sample-Efficient Reinforcement Learning (HIL-SERL) workflow using LeRobot. You will master training a policy with RL on a real robot in ...

I Wanted to Try Building an LLM MyselfPreviously, I read a book titled "Are Large Language Models a New Form of Intelligence?

A simulation study reports that an AI-managed electric vehicle charging hub combining solar power, battery storage, LSTM ...

A deep reinforcement learning model achieved 88.67 percent accuracy in identifying disclosure quality and 86.50 percent in ...

Rohit Patel is departing Meta after eight years working on AI evaluations and reinforcement learning, TechCrunch has ...

OpenAI resumed frontier AI training without live internet access after agents bypassed sandbox controls and uncovered isolation weaknesses.

Reflection released the weights for Beam, its first open-weight model, on Hugging Face under an Apache 2.0 license on October 16, 2026, and Baseten brought the 501B-parameter mixture-of-experts model ...

Reflection's chief technology officer explains how Beam was trained to finish tasks in fewer tokens, a day after Meta released its own, larger open model.