Machine learning accelerates analysis of fusion materials

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...

A machine learning model that uses DNA methylation patterns may help identify the origin of cancers of unknown primary

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...
New Scientist

We might finally know how to use quantum computers to boost AI

Pushing against years of scepticism, an analysis suggests quantum computers may offer real advantages for running machine ...

Machine learning detects more than 60,000 earthquakes during 2025 Santorini sequence

The seismic crisis that gripped the Greek island of Santorini and its neighbors in 2025 contained more than 60,000 ...
The Source

AI in Content Marketing: Leveraging Machine Learning for Predictive Personalization

Learn how AI in content marketing uses predictive personalization and machine learning to boost engagement, rankings, and ...

In bone imaging, machine learning accelerates research progress and uncovers hidden patterns

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
SDxCentral

IBM and Nvidia tout content-aware storage on 100-billion vector database

In a collaboration with Nvidia and Samsung, IBM said it has demonstrated a content-aware storage (CAS) system that can hold a ...
eLife

New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.