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 ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
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 algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
The statistics cited by the authors point to exponential growth in the deployment of thermal energy as a sustainable and renewable source. They reveal that global consumption surged from approximately ...
The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...
Morning Overview on MSN
Machine learning is turbocharging cheap lithium-ion battery design
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.
Dung Thuy Nguyen (Vanderbilt University), Ngoc N. Tran (Vanderbilt University), Taylor T. Johnson (Vanderbilt University), Kevin Leach (Vanderbilt University) PAPER PBP: Post-Training Backdoor ...
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