Argonne maintains a wide-ranging science and technology portfolio that seeks to address complex challenges in interdisciplinary and innovative ways. Below is a list of all articles, highlights, profiles, projects, and organizations related specifically to machine learning.
I work on the ATLAS experiment studying the Higgs boson to better understand its properties, with a focus on applying AI/ML tools to help accomplish this.
Over 1,000 scientists, engineers and staff from U.S. Department of Energy national labs, academia, and technology companies discussed the rapidly emerging opportunities and challenges of artificial intelligence for science, energy and security.
Argonne will host an online Sixth Quantum Computing Tutorial on June 26-30, 2023. The tutorial is designed to provide hands-on experience programming QAOA and QML on IBM quantum computers using error correction and mitigation schemes.