Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
Hosted on MSN

New machine-learning models capture the rapid evolution of antimicrobial resistance

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...

AI agents are flashy, but machine learning still pays the bills

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

Data-efficient and transferable machine learning-based predictive models for catastrophic risk assessment in offshore wind infrastructure

This industry-collaborative PhD project offers the opportunity to work at the intersection of machine learning, structural engineering and renewable energy to develop innovative and impactful ...
EurekAlert!

Smart solutions for sustainable energy: Machine learning powers biochar production from aquatic biomass

The increasing global demand for sustainable energy and carbon materials, alongside pressing environmental concerns, ...
University of Surrey

Robust, certified, and scalable federated machine unlearning for privacy-preserving AI

The project sits at the intersection of privacy-preserving machine learning, distributed systems, and trustworthy AI, with implications for regulatory compliance and real-world deployment of federated ...
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
News-Medical.Net

Machine learning model predicts liver cancer risk with high accuracy

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

A machine learning model may enable liver cancer risk prediction with routine clinical information

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