Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

Frederick University and Electi Consulting Ltd have successfully completed the technical implementation of the DYNAMO ...

US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...

University of Victoria (UVic) biologists have discovered that even closely related fish species make unique and distinctive ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

AI market forecasting uses predictive analytics and strategic planning tools to anticipate demand shifts, optimize decisions, ...

For millions of immigrants, arriving in a new country means navigating not just cultural shifts but economic hurdles.

Renowned AI scientist Yann LeCun confirmed on Thursday the worst-kept secret in the tech world: that he had indeed launched a ...

Predicting solar activity is crucial for understanding and mitigating its effects on the heliosphere, particularly with regard to Earth and its surrounding ...

The real opportunity of AI is not in automating every task, but in using it to make sense of the data you already have.

Generative artificial intelligence (GenAI) is a subfield of AI that leverages machine learning and deep learning techniques ...

Equifax (NYSE: EFX) secured 27 patents in the second half of 2025, bringing the total number of patents secured for the year ...