Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...

Explore how AI learning parallels physics laws, revealing insights into neural networks and their performance mechanisms.

Against the backdrop of the global AI boom, how should Chinese enterprises navigate in the new landscape? During WAIC Up! 2026, held on January 16th, Fu Sheng, Chairman and CEO of Cheetah Mobile and ...

Conflict forecasting, using AI and vast amounts of data, is evolving fast. The Middle East's authoritarian regimes could well be among the first in the world to use it to stop protests — before they ...

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

AI now shapes your loan approval and interest rate. Learn how lenders use algorithms, what rights you have under federal law ...

Researchers have developed advanced mathematical models and hybrid machine learning tools that accurately predict how ...

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

Harvard researchers have developed OpenMetabolics, an open-source, smartphone-based activity monitor that uses machine ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

The March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...

AI agents are machine learning models (e.g. Claude Opus 4.6) that have access to other software through a CLI harness (e.g.