HydroGraphNet boosts watershed predictions of daily flow and nitrogen in sparse data regions

Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of ...

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 ...
New York Post

A new wave of AI schools is balancing life skills and machine-led learning — for as little as two hours a day

No textbooks, no homework, no teachers. Welcome to the future of education. At least according to Alpha School, a fast-growing network of private academies that claims to be revolutionizing education ...
News Medical

Researchers develop versatile machine learning tool to automate complex clinical diagnostics

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.
Forbes

Machine Learning Trends For 2026

You're probably a little tired of reading or hearing about AI, right? Well, if that's the case, then you're in the right place because here, we're going to talk about machine learning (ML). Yes, it's ...
Scientific Research Publishing

Parisineni, S.R.A. and Pal, M. (2024) Enhancing Trust and Interpretability of Complex Machine Learning Models Using Local Interpretable Model Agnostic Shap Explanations ...

ABSTRACT: Accurate prediction of antidepressant treatment response remains a major challenge in psychiatry, particularly across diverse patient populations where genetic, demographic, and clinical ...
usace.army.mil

Army establishes new AI, machine learning career path for officers

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...
Frontiers

Neural heterogeneity as a unifying mechanism for efficient learning in spiking neural networks

The brain is a highly diverse and heterogeneous network, yet the functional role of this neural heterogeneity remains largely unclear. Despite growing interest in neural heterogeneity, a comprehensive ...
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.
Cloud Computing

IBM launches cloud AI service to manage complex networks

IBM is rolling out a new AI-powered cloud service designed to help companies get a better grip on their increasingly messy networks. IT environments are becoming harder to manage, as networks comprise ...
IEEE

Multimodal machine learning based equivalent modeling method for active distribution networks

Abstract: With high integration of distributed generators (DGs) and diverse topology reconfigurations, the dynamic states of active distribution networks (ADNs) become more complex, which poses great ...