BIOENGINEER

From Nanoemulsion-Templated Drug Nanoparticles to Machine Learning Property Prediction: The Research Path of Lucas Attia

An AAPS Open editorial spotlights chemical engineer Lucas Attia, whose PhD work matured nanoemulsion templating for drug ...
BIOENGINEER

Hybrid machine learning improves lost-circulation prediction in small oil-field dataset

A hybrid CatBoost pipeline using synthetic sampling and optimized class weights achieved the strongest reported ...
Eos

Using Machine Learning Techniques for Polar Vortex Predictions

A new model accurately reproduces aspects of polar vortex behavior, extracting indicators of imminent vortex collapse and accompanying frigid weather in North America and Europe.
Nature

Machine learning articles from across Nature Portfolio

Researchers developed NiCLIP, an AI model that decodes cognitive tasks, concepts, and domains from brain activation patterns. Trained on over 23,000 papers, NiCLIP excels at group-level decoding, ...

How Do Machine Learning Models Learn? An Overview from Data Preparation to Training, Evaluation, and Prediction

When you start learning machine learning, you encounter many terms such as "features," "loss functions," "gradient descent," ...

[#16] How to show it to machine learning: Feature engineering for stock price prediction

In this note, with the theme of can we beat a '99-point' index investment? I, a company employee who has dabbled a bit in ...
Newswise

Georgia Tech Machine Learning Center Celebrates Student Research at Annual ML@GT Student Conference

ATLANTA — Machine learning PhD students from across Georgia Tech showed off their work on Friday, October 16, 2026, at the ML ...