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Using Artificial Intelligence to Enhance X-Ray Data Analysis

From biology to materials science, artificial intelligence (AI) has revolutionized every scientific subject. When it pertains to certain types of X-ray studies, new AI approaches have enabled researchers to get an accurate analysis of their materials in less time.

Ian-foster
Jonathan-almer
Peter-kenesei
Hemant-sharma
Rajkumar-kettimuthu
Zhengchun-liu
Office-of-science
Group-leader
Argonne-national-laboratory
Antonino-miceli-argonne-national-laboratory
Us-department-of-energy
Journal-of-the-international-union-crystallography

Introducing the 2022 BSSw Fellows

Jan. 20, 2022 The 2022 class of BSSw Fellows will be recognized during the 2022 Exascale Computing Project Annual Meeting, May 2-5, 2022. The BSSw

Amiyak-maji
Sarah-bratt
Karan-vahi
Qiusheng-wu
Brittany-johnson-matthews
Rob-latham
Santa-barbara
Meghan-jones
Nitin-sukhija
Julia-stewart-lowndes
Arora-rob-latham
William-godoy

ANL Projects to Advance AI Methods to Resolve Data Challenges

The U.S. Department of Energy’s (DOE) Argonne National Laboratory (ANL) will be involved in two interdisciplinary projects after receiving approximately $3 million in funding to further enhance machine learning technology and artificial intelligence (AI).

University-of-chicago
Illinois
United-states
Illinois-institute-of-technology
Texas
Chicago
Romit-maulik
Mihai-anitescu
Rebecca-willett
Johns-hopkins-university
Office-of-advanced-scientific-computing-research
Los-alamos-national-laboratory

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