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, ...

AI model forecasts speech development in deaf children after cochlear implants

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...

Neel Somani on How Privacy-Preserving Machine Learning Is Changing the Digital Landscape

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.
CU Boulder News & Events

Data Analytics Best Practices: Best Machine Learning Model for Sparse Data

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...
European Medical Journal

Machine Learning Shows Promise in Predicting RA Treatment Response

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
The Regulatory Review

Predicting Turbidity, Protecting Tap Water

Scholars analyze how the use of machine learning could reshape EPA drinking water standards.
Quanta Magazine

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
EurekAlert!

Machine Learning Model predict protein binding on gold nanoclusters - Opens doors for next-generation biomedical nanomaterials

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational model that could expedite the use of nanomaterials in biomedical applications.