Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

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 ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

This study leverages advanced genomics and machine learning to refine the understanding of key fruit quality traits in ...

By utilizing artificial intelligence (AI) and cloud computing, smart cybersecurity systems are helping to bolster the utility ...