Weather forecasts have historically had a time frame hurdle that most weather models can't accurately predict beyond, but a group of researchers at the Massachusetts Institute of Technology (MIT) say ...

Researchers developed NiCLIP, an AI model that decodes cognitive tasks, concepts, and domains from brain activation patterns. Trained on over 23,000 papers, NiCLIP excels at group-level decoding, ...

We can predict tomorrow's weather quite well. However, when it comes to whether there will be a lot of rain or a cold snap in ...

Demand forecasting models are on the rise. From classical statistical models like ARIMA to machine learning, deep learning, ...

The tool boosts the ability of physics- and AI-based forecasting models to predict typical and extreme weather events.

This roundup looks at 10 new technologies that are helping to shape the future of modern weather forecasting. How AI, ...

A new machine-learning approach broke records for weather forecasting for an important time frame in emergency planning.

A sentinel hospital study in Guangzhou tested a reporting-lag-aware machine learning framework for seven-day-ahead forecasting of influenza, COVID-19 and Mycoplasma pneumoniae activity, finding modest ...

Global rainfall maps are built from observations collected by multiple satellites, but they have an important limitation. The ...

AI in scientific research is accelerating genomics, drug discovery, climate modeling, materials science, physics, and automated experiments.

A new model accurately reproduces aspects of polar vortex behavior, extracting indicators of imminent vortex collapse and accompanying frigid weather in North America and Europe.

Self-driving electric taxi fleets could make transportation more efficient and sustainable, but only if vehicles can ...