Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

Retail LLMs promise raw computing power in edge settings. But what are the considerations that face decision-makers in the ...

As agent hype fades, machine learning quietly proves it’s still essential.

Artificial intelligence is now sorting through telescope data at a pace no human team could match, and the results go beyond ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

The workflow used in the paper is illustrated here, showing how synthetic geological models were constructed and how their geophysical properties were derived via forward simulation. Then, different ...

Within the STRUCTURES Cluster of Excellence, two research teams at the Interdisciplinary Center for Scientific Computing (IWR) have refined a computing process, long held to be unreliable, such that ...

The Internet Archive is a nonprofit that — as you might expect — is devoted to archiving the internet and preserving digital context for future generations. This week, the platform announced a new ...

Dinosaur footprints are iconic fossils, but it is challenging to identify their makers. This is illustrated by a long-standing debate about whether some footprints from the Late Triassic-Early ...

Abstract: Large amounts of digital data are produced daily through society’s use of government and private companies. Digital transformation contributes to the increasing amount of structured and ...

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...