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 ...

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

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

BAILA 3.0 gives advisors an AI investment strategist, freeing them to focus on client relationships and growing their practiceSAUSALITO, Calif., Feb. 24, 2026 (GLOBE NEWSWIRE) -- Ai Funds, Inc., a ...

The world's most critical challenges are accelerating at a rapid pace. The R&D methods tasked with solving them are not—until ...

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

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 ...

Few innovators bridge computational astrophysics, enterprise-scale artificial intelligence, and quantum computing while ...

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

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 ...