ESMs, a proteome-scale framework to classify loss-of-function missense variants into distinct mechanistic groups by combining two complementary state-of-the-art machine learning models. The strength ...

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...

The study departs from conventional mean-based economic forecasting by focusing on quantile prediction, a technique that ...

Sensormatic Solutions, the global retail solutions portfolio of Johnson Controls (JCI), continues to improve the capabilities of its cloud-based loss prevention (LP) application, Shrink Analyzer. The ...

Using data from historic ship measurements and Argo floats, researchers introduced a machine learning technique that improves assessment and analysis of the ocean's declining oxygen levels. Oxygen is ...