Researchers in China have developed a powerful machine learning model that can help determine which patients with nasopharyngeal carcinoma (NPC) are likely to respond well to radiotherapy-a common ...

Reinforcement learning (RL) and latent world models are emerging as promising tools for modeling complex atomic level changes ...

Renewable energy sources like solar and wind are inherently intermittent and unpredictable, making it difficult for grid ...

This study presents a predictive control system for the operation speed of combine harvesters, integrating multi-sensor fusion and deep learning techniques. The EKF integrates IMU and BDS/GPS signals ...

Vinay Deeti is driving a new wave in asset management through intelligent automation, making investment analytics smarter, ...

In this research work authors have experimentally validated a blend of Machine Learning and Nonlinear Model Predictive Control (NMPC) framework designed to track the temperature profile in a Batch ...

Iran escalates domestic repression following Israel conflict, with experts warning of a North Korea-style model as citizens face phone searches, internet blackouts and disappearances.

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

MiniMax reports that the M1 model was trained using large-scale reinforcement learning (RL) at an efficiency rarely seen in this domain, with a total cost of $534,700.