Machine Learning | Argonne National Laboratory

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.

Making machine learning safer for biomedicine

PALISADE-X aims to provide the security necessary to study life-threatening medical issues without violating patient privacy.
A stitch in virtual time saves nine in real time

An Argonne team is working on digital twin software that will help the thousands of users of Department of Energy facilities employ their time there wisely.
Abstractly Interpreting Differentiable Programming

CS Seminar
Researchers use Argonne X-rays to find the best antibodies

Antibody therapies have a variety of uses, but we need to know which therapies work and which ones don’t. Recent research has discovered a means to determine how effective certain antibodies can be in medical scenarios.
Argonne and University of Chicago researchers improve management of electric vehicle charging through machine learning

Argonne’s Smart Energy Plaza is first location where algorithm is being tested.
Media Tip: Visionary report unveils ambitious roadmap to harness the power of AI in scientific discovery
2023 Summer Student Presentations II

CS Seminar
Introduction to Materials Science and Engineering at KAIST

Materials Science Seminar
Nicholas Luongo

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.
Visionary report unveils ambitious roadmap to harness the power of AI in scientific discovery

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.

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