Building large-scale AI/ML systems AI/ML systems intersect with machine learning theory and software engineering.

This collection aims to highlight recent advances and applications of AI and machine learning methods in solid-state materials science with a focus on crystalline systems.

Machine Learning Can We Trust AI in Circuit Design and Embedded Systems? AI is vying for circuit and embedded-system design jobs, but in 2025, it still requires a seasoned engineer to ride shotgun.

The complexity and size of software systems has increased to the extent that traditional manual development and maintenance ...

Companies of all kinds use machine learning to analyze people’s desires, dislikes, or faces. Some researchers are now asking a different question: How can we make machines forget? A nascent area ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and collaborators accurately predicts and inversely designs the mechanical behavior of ...

Google has used machine-learning across myriad products, including Translate and Photos, and with this latest experiment, it’s delving deep into the fashion fraternity to see what comes of it.