How AI is getting better at finding security holes

Anthropic announced this week that its new model found security flaws in "every major operating system and web browser." Even ...
Tech Xplore

A simple baseline for AI forecasting in machine learning

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

Spatiotemporal correlation-based AI developed for bias correction of atmospheric and oceanic variables

Daily travel plans and early warnings for extreme weather all rely on traditional numerical weather prediction. However, both ...

AI model suggests CPAP can massively swing heart risk in sleep apnea

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...
EurekAlert!

Mount Sinai researchers develop machine learning model to predict how CPAP affects cardiovascular disease risk in patients with obstructive sleep apnea

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...

Improving air temperature forecasts one to five weeks in advance without new model simulations

Researchers at the Institute of Industrial Science, The University of Tokyo and George Mason University's College of Science ...
The Conversation

We analyzed Philly street scenes and identified signs of gentrification using machine learning trained on longtime residents’ observations

What does gentrification in Philadelphia look like? “High-rise, modern apartment buildings.” “(A) modern look that’s so out ...
GitHub

AQI Monitoring and Prediction System

This is a complete Air Quality Monitoring and Prediction System built using Django and LSTM deep learning. The project demonstrates real-world application of machine learning in environmental ...
The Lancet

When to and when not to use machine learning in risk prediction models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
Medical Xpress

Machine learning can predict patients' responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...
Scientific Research Publishing

Alvarez, C.I., Ulloa Vaca, C.A. and Echeverria Llumipanta, N.A. (2025) Machine Learning for Urban Air Quality Prediction Using Google Alphaearth Foundations Satellite ...

ABSTRACT: Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and ...