Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO. PRIMO is short ...

A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences has developed a machine learning (ML) framework to analyze virus filtration ...

The semiconductor industry is entering an era of unprecedented complexity, driven by advanced architectures such as Gate-All-Around (GAA) transistors, wide-bandgap materials like GaN and SiC, and ...

Bullen’s Autonomous Process Optimization initiative with Phenx uses machine learning and digital twin modeling to improve ...

Plant resilience research increasingly examines how plants adapt to interacting abiotic and biotic stresses in changing environments. Climate change is ...

Comparing oncologists, a GPT-based model, and a SEER-based survival calculator for cancer prognostication. Metric (95%CI) Random Forest Logistic Regression XGBoost ROC AUC 0.84 (0.79-0.88) 0.81 ...

A body of healthcare AI research connects data infrastructure, machine learning, and natural language processing across medical applications.

Background and Goal: This study examined whether machine learning could predict the risk and contributing factors of no-shows and late cancellations in primary care practices. Study Approach: ...