Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...

MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

The newly developed intervention, called MODERN (Machine-learning-assisted Optimizing Dietary intERvention against demeNtia risk), was introduced in a paper in Nature Human Behavior.

AI algorithms, particularly those rooted in Natural Language Processing (NLP) and Machine Learning, possess the remarkable ability to analyze vast amounts of text data, identify intricate patterns ...

Dana Heitz reviews a criminal case out of Arizona involving AI-generated evidence. She sets out some ethical considerations for its future use—an issue of interest to attorneys and courts in New ...

The study shows that machine learning and deep learning algorithms can accurately classify tree species using individual tree point clouds, and the operation process of PointMLP is more concise and ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

🐦 Tweet Classification with Machine Learning This project focuses on classifying tweets using various supervised machine learning algorithms. It leverages natural language processing (NLP) techniques ...