Physics-informed AI learns local rules behind flocking and collective motion behaviors

Researchers at Seoul National University and Kyung Hee University report a framework to control collective motions, such as ring, clumps, mill, flock, by training a physics-informed AI to learn the ...

OpenAI says GPT-5 stacks up to humans in a wide range of jobs

A new test from OpenAI aims to understand how close AI is to outperforming humans at economically valuable work.
The Economist

People are using big data to try to predict Nobel laureates

I N YEARS GONE by, the wait for the announcement of winners of the Nobel prizes was a period of fun but largely uninformed ...
eLife

Macroscopic Analyses of RNA-Seq Data to Reveal Chromatin Modifications in Aging and Disease

This valuable study analyzes aging-related chromatin changes through the lens of intra-chromosomal gene correlation length, which is a novel computational metric that captures spatial correlations in ...
IEEE

EDG-Net: Edge-Enhanced Dynamic Graph Convolutional Network for Remote Sensing Scene Classification of Mining-Disturbed Land

Abstract: Scene classification and mapping of surface mining-disturbed land can attain semantic-level information that is useful for monitoring mine geo-environment. Mining land’s complex ...
IEEE

Rainfall Classification Using Machine Learning Algorithms on Data Mining Platforms

Abstract: Weather conditions directly affect sectors such as agriculture and transport. With climate change, unpredictability is increasing and traditional calculation methods may not be sufficient.