In the last decade we have achieved significant advances in machine learning techniques, which have been widely exploited in a number of applications including biomedical, data and image processing, ...

Jeff Shen, co-head of BlackRock Systematic Equities, discusses in depth how his team uses data and technology to generate ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Torgny Fornstedt describes how machine learning can work in practice for oligonucleotide analysis.

A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

A researcher has proposed a more targeted approach to AI drug discovery, which includes a rigorous evaluation protocol.

However, Miami just held Bijan Robinson to 25 yards on the ground, which makes backing the Over of Henry's NFL prop total of ...