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 ...

A chair can still look like a chair even when its surface is reduced to a sparse cloud of points. Humans are remarkably good ...

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks ...

Target identification is the first and perhaps most critical step in drug discovery and development. Although the human genome contains roughly 20,000 protein-coding genes, only about 4,500 are ...

A University of Manchester study found that a grammar-focused technique, LambdaG, can match or surpass advanced AI in identifying text authorship. By analyzing patterns in grammar and sentence ...

The next major advance in medical AI may lie not in analyzing more data, but in understanding how health data change over time. A recent editorial in Intelligent Medicine argues that dynamics-driven ...

The editorial, "Dynamics-driven medical big data mining: dynamic approaches to early disease forecasting and individualized care," published in Intelligent Medicine (February 2026, Volume 6, Issue 1), ...

The editorial, "Dynamics-driven medical big data mining: dynamic approaches to early disease forecasting and individualized care," published in ...

Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

Collov Labs plans to use its new funding to expand its research team and accelerate development of visual AI applications with more advanced agentic capabilities capable of executing complex tasks and ...