From guesswork to guidance: How machine learning speeds dopant design for water-splitting photocatalysts

MLIP calculations successfully identify suitable dopants for a novel photocatalytic material, report researchers from the ...
Nature

Machine Learning Applications in Microstructure Design and Material Properties

The integration of machine learning techniques into microstructure design and the prediction of material properties has ushered in a transformative era for materials science. By leveraging advanced ...
Nanowerk

Machine learning innovations and applications in nanotechnology

Machine learning, with its ability to analyze large datasets and identify patterns, is particularly well-suited to address the challenges presented by the vast and complex data generated in ...
Machine Design

ML-Enhanced Computer-Aided Engineering in the Cloud

Ansys SimAI is a physics-agnostic and cloud-enabled computer-aided engineering tool that predicts performance of complex simulation scenarios. The game-changer? Engineers train their model and use it ...
Purdue University

AI and Machine Learning

The AI and Machine Learning major is one of two specialized majors in Purdue University’s 100% online Master of Science in Artificial Intelligence program. This major equips you with advanced ...

ADT Harnesses Machine Learning and Inverse Design to Deliver a New Era of Pump Efficiency

Discover how ADT is transforming pump design with Machine Learning and 3D Inverse Design to boost efficiency and cut ...
Harvard Business Review

Getting Machine Learning Projects from Idea to Execution

Humanity’s latest, greatest invention is stalling right out of the gate. Machine learning projects have the potential to help us navigate our most significant risks — including wildfires, climate ...

Data Engineer to Machine Learning Engineer Transition – 2026 Guide

Santa Clara, CA / Syndication Cloud / March 3, 2026 / Interview Kickstart The rapid acceleration of AI adoption across ...