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

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

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 ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

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

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

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

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

Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...

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

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...