A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

Wind and solar power have grown faster than almost anyone predicted, but projecting their future expansion remains ...

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

AI-driven interventions reduce the odds of hospitalization within 7 days by 8% in patients with end-stage kidney disease receiving hemodialysis, according to a recent study.

Alumna, author and machine learning expert Vivienne Ming explains why the best defense against AI's downsides is investing in ...

AI systems are "trained" using massive datasets, and the quality of this data determines the model's performance. AI can ...

Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...

Forecasters think a strong El Niño is on the way, which could hamper hurricanes, but parts of the Atlantic are already warmer ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...