This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...

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 ...

Increases in computing power and the availability of more data through social media and crowdsourcing have facilitated the use of machine-learning in psychological research. Machine learning has been ...

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...

An artificial intelligence system for early prediction of breast cancer regression pattern during neoadjuvant chemotherapy. This is an ASCO Meeting Abstract from the ASCO Breakthrough: A Global Summit ...

A new article published in the Journal of Dental Research explores the development an integrated data-cleaning and subtype discovery pipeline using unsupervised machine learning for comprehensive ...

The Nobel Prize in physics has been awarded to John J. Hopfield of Princeton University and Geoffrey E. Hinton of the University of Toronto for discoveries and inventions that formed the building ...

Improving infusion therapy management in metastatic breast cancer: Real-world pilot study of a new pharmacy resource. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...