What factors influence students' decisions about whether they will continue to use ChatGPT for learning in the future? This ...

Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...

An interpretable machine learning model predicted moderate to severe acute kidney injury risk in ICU patients with acute ...

A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures. Metal nanoparticles catalyze reactions ...

A Duke University-led research team has developed a machine learning (ML) tool designed to assist clinicians in accurately reading the electroencephalography (EEG) charts of patients in intensive care ...

Researchers developed an AI-assisted computational pipeline that combines symmetry-guided screening, machine learning, and ...

The National Academies of Sciences, Engineering, and Medicine are private, nonprofit institutions that provide expert advice on some of the most pressing challenges facing the nation and world. Our ...

This guest essay reflects the views of Nirali Somia, a graduate student at Cold Spring Harbor Laboratory. It is part of a series of essays from current researchers at the Cold Spring Harbor Laboratory ...

Tech companies have developed machine learning models and algorithms expeditiously in recent years. Those familiar with this technology likely remember a time when, for instance, bank personnel and ...

The course emphasizes interpretable machine learning techniques and their applications in the financial services industry. Students will develop machine learning models, explain model predictions, and ...