Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Satellite-based hydrology, particularly leveraging the GRACE and GRACE-FO missions, has revolutionized our understanding of ...

Finely dispersed particulate matter with a diameter of ≤2.5 μm (PM2.5) poses a significant health- and climate-risk, yet ...

The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

A multi-institutional team of researchers led by Virginia Tech’s Fralin Biomedical Research Institute has for the first time ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...

A data science course is meant to equip learners with a higher level of positions that are founded on the analysis of data, statistics, and machine learning aimed at addressing intricate problems. The ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...