Dung Thuy Nguyen (Vanderbilt University), Ngoc N. Tran (Vanderbilt University), Taylor T. Johnson (Vanderbilt University), Kevin Leach (Vanderbilt University) PAPER PBP: Post-Training Backdoor ...

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 ...

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 ...

Abstract: With the continuous development of the semiconductor industry in terms of miniaturization and performance improvement, the drawbacks of traditional dielectric materials such as silicon ...

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 ...

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, ...

The Technical Psychoacoustics research group at the Aalto Acoustics Lab, within the Department of Information and Communications Engineering at Aalto University, invites applications for a one-year ...

Humanity’s first successful lunar lander is missing. Sixty years ago the Soviet Luna 9 became the first human-made object to ...