Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

X Engineered Materials demonstrates how AI offers a path toward more resilient, sustainable, and future-ready manufacturing.

Machine learning (ML) is transforming protein structure prediction ... training datasets, and optimization techniques to improve accuracy and efficiency, such as RoseTTAFold, ProteinBERT, DeepFold ...

Enterprises are rapidly moving away from legacy operations systems in favor of cloud-based platforms that automate routine ...

The global energy grid is undergoing a profound transformation. Moving from traditional centralized control systems to more dynamic, distributed structures, thi ...

The review identifies nine major functional domains where AI is significantly altering sustainable practices, including ...

Mass spectrometry, a powerful tool for studying tiny molecules, has long helped scientists unlock secrets hidden in plants, ...

As researchers unveil a groundbreaking machine learning approach that dramatically reduces fraud detection costs by generating accurate labels from imbalanced datasets, Interview Kickstart announces ...

Today’s feature focuses on Stanislaw Zak, professor of electrical and computer engineering, and his book, “An Introduction to Optimization: With Applications to Machine Learning, 5th Edition.” A new ...