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 ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

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

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

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 scientific ideas have leapt from philosophy seminars to dinner-table debates as quickly as the claim that our universe ...

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

Press releases in 2026 serve a broader purpose than announcement distribution...When structured correctly, they ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Published in Nature, the study details the first large-scale demonstration of a photonic Ising machine operating without the ...

Search engines evaluate depth, structure, and credibility. A custom-built platform allows businesses to present ...