A Reinforcement Learning project that trains an autonomous racing agent to navigate a 2D grid-based racetrack using Q-Learning. The agent learns through trial and ...
Box ManipulationIn the history of artificial intelligence and machine learning, the determination of internal parameters ...
A 450-task benchmark built from real CVEs shows even the best AI coding agent writes code that's both working and secure only ...
Thinking Machines Lab has introduced Inkling 2 Small, a new open-weight AI model designed for advanced coding, visual ...
Thinking Machines Lab unveiled Inkling 2 Small, a mixture-of-experts model with 594B total parameters and 17B active that ...
Laboratory of Neural Computation, Institute for Quantitative Biosciences, the University of Tokyo, Tokyo, Japan Department of Life Sciences, Graduate School of Arts and Sciences, the University of ...
Salesforce's SRD distills hindsight into foresight, rescuing agent RL when rewards vanish and lifting success from 0% to 60.6 ...
"Please improve an AI that is bad at math without additional training."When asked this, we usually think of adding training ...
In , Nous Research post-trained Alibaba's Qwen3.8-27B into Arete-27B, an open-weight model that The Decoder says largely ...
NPTEL released the July-December 2026 semester results for various diploma programs. The NPTEL results have been released online on the official website of NPTEL- nptel.ac.in. Here we are also ...
Hyundai is hiring an AI Control Systems Engineer to build machine learning for heavy-duty towing and rough off-road trails, ...
Researchers designed a decision support system that coordinates turbine repowering and decommissioning across entire onshore wind farms under multiple interacting uncertainties.