Today, most investment firms use AI to assist human managers, providing data or suggestions for them to act on. BAILA represents a new category of AI-Managed Investing, where the AI makes the ...

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 ...

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning (ML) is being used in separation science, we interviewed Emery Boston from ...

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments performed.

NTN announced that it has integrated machine learning technology into its automated calculation system used for designing 3rd‑generation hub bearings, marking the first use of this approach in the ...

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...