AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
The Lancet

When to and when not to use machine learning in risk prediction models

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 ...

Anthropic's AI researcher Mrinank Sharma quits, says the 'the world is in peril'

AI startup Anthropic has confirmed the departure of researcher Mrinank Sharma from its safeguards team. The exit comes in the ...
EurekAlert!

Journal of Environmental Sciences study reveals how artificial intelligence can transform PM2.5 monitoring

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

Estimating Individual Building Heights by Integrating Spaceborne LiDAR and Multisource Remote Sensing Data: A CNN–Transformer Model and a Semi-Supervised Sample Augmentation ...

Abstract: Building height is a key metric in transitioning urban analysis from 2-D to 3-D perspectives. It serves as a fundamental indicator for assessing urban development, population density, and ...
IEEE

Evaluation of Machine Learning Frameworks: VGG16, InceptionV3, ResNet50, and Custom CNN for Martian Surface Classification

Abstract: Feature classification of the Mars surface is very crucial in planetary science as well as in missions and disentanglement of the history behind the Red Planet. In this paper, research will ...