Long-term weather forecasting is a difficult task, partly because weather systems are inherently chaotic. Though mathematical ...

A research team has studied the development of the Shanghai Typhoon Model from a traditional physics-based regional model ...

By combining physics-based methods with machine learning, a team at the Institute of Thermodynamics and Sustainable ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends and to the robotics systems powering automation. They're also inside more ...

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a new study by MIT researchers shows that bigger ...

The meta AI team recently officially launched the MobileLLM-R1 series of efficient inference models, marking a new development stage for small parameter language models. This series includes base ...

Small can be powerful. In the discussions of AI engines, large language models (LLMs) often dominate the conversation due to ...

By combining physics-based methods with machine learning, a team at the Institute of Thermodynamics and Sustainable Propulsion Systems at TU Graz is ...

The Meta AI team has recently officially launched the MobileLLM-R1 series of efficient inference models, marking a new development stage for small parameter language models. This series includes base ...