Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Recent developments in computational chemistry facilitate the automated quantum ...

Abstract: This work studies the online parameter identification of cost functions in a generalized Nash game, where each player's cost function is influenced by an observable signal and some unknown ...

Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that machine learning models can help predict whether a person might benefit from ...

Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations of the quantum interactions that take place in materials. In new work, the group ...

Department of Pharmaceutical Sciences, Division of Pharmaceutical Chemistry, Faculty of Life Sciences, University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria Christian Doppler Laboratory ...

UHPLC–QTOF-MS and machine learning were used to identify stable biomarkers for PMI estimation, achieving 3–6 hour accuracy. Identified metabolites include amino acids and nucleotides, with potential ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses the kernel matrix inverse (Cholesky ...