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Scientists develop dynamic landslide prediction method using hydrological and machine learning data
Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based ...
Machine learning improves accuracy of climate models—particularly for compound extreme events
Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that ...
Hosted on MSN7mon
Scientists develop AI-based method to detect ADHD by analyzing videos - MSN
A group of U.K. scientists has developed a machine-learning-based method to detect ADHD by analyzing the actions of individuals in video clips. These videos included recordings of study ...
AZoBuild on MSN6d
Researchers Develop Machine Learning Model to Predict High-Strength Concrete Performance
A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...
Research Matters3d
Seeing Through the Rust: How Machine Learning is Improving Corrosion Detection
Automated analysis of microscopic images offers a powerful new tool for predicting and managing under-deposit corrosion in ...
Semiconductor Engineering5d
Machine Learning Tools Help Bridge Design-To-Manufacturing Gap
Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...
Apple Silicon machine learning code may become more easily portable to Nvidia hardware
A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple ...
EurekAlert!4mon
Generating asset pricing model via symbolic modeling—a machine ...
News Release 20-Mar-2025 Generating asset pricing model via symbolic modeling—a machine learning-based approach Peer-Reviewed Publication KeAi Communications Co., Ltd. image: ...
Semiconductor Engineering5mon
Machine Learning-Based IR Drop Prediction Approach
Traditional methods, including commercial tools, require considerable time to produce accurate approximations, especially for complicated designs with numerous transistors. ML algorithms, on the other ...
HUB9mon
Machine learning method could speed path to cleaner energy solutions
The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year PhD student, a Johns Hopkins team has developed a machine ...