# Artificial Intelligence

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 artificial intelligence.

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• ### How machine learning can sharpen environmental research

Recent workshop focuses on machine learning and environmental research
• ### Walter Howard Hopkins

My research focuses on searches for new physics beyond the Standard Model ℠. Specifically, my work involves searching for evidence of a new symmetry in nature: Supersymmetry (SUSY).
• ### The next phase: Using neural networks to identify gas-phase molecules

Argonne scientists have developed a neural network that can identify the structure of molecules in the gas phase, offering a novel technique for national security and pharmaceutical applications.

• ### Matthew R Becker

Matt is a cosmologist and computational scientist interested in understanding the Universe with supercomputers, code and statistics.
• ### Foundations of Machine Learning, Data Analysis, and Statistics

Exploring the principled and automated learning frontier
• ### Simon Corrodi

Simon is a postdoctoral appointee exploring the limits of the Standard Model of Particle Physics through precision tests in high-intensity experiments.