Researchers at UCLA’s Institute of the Environment and Sustainability have built a deep learning model that generates statewide kelp canopy maps for California, processing tens of thousands of ...

A new study shows that deep learning can accurately predict the impact of environmental regulations before they are implemented, outperforming traditional expert models. Applied to the Clean Water Act ...

We know that the RSAC 2026 cybersecurity conference this week in San Francisco is going to be an artificial ...

Applying artificial intelligence techniques to cardiac ultrasound data may make it easier to identify patients with advanced heart failure, a new study has found. The study—led by investigators at ...

Early identification and prediction of persistent SA-AKI are crucial. Objective: The aim of this study was to develop and validate an interpretable machine learning (ML) model that predicts persistent ...

In the last few years, Chinese AI startup MiniMax has become one of the most exciting in the crowded global AI marketplace, ...

Abstract: The study addresses the problem of prediction of patient outcomes in healthcare with machine learning methods, including such options like logistic regression, decision trees, random forests ...

Apple researchers have created an AI model that reconstructs a 3D object from a single image, while keeping light effects consistent across viewing angles.

To use this evidence, investigators typically must grow the larvae until adulthood in a laboratory setting and then identify ...

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

Abstract: The rapid advancement of communication is introducing a new era for the Internet of Vehicles (IoV) in the context of Smart Cities. Although these technologies provide unparalleled ...