# Machine Learning

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.

## Filter Results

• ### Argonne accelerates COVID antiviral discovery with AI

Search time for usable antiviral candidates reduced from years to minutes.
• ### The age of exascale and the future of supercomputing

Argonne looks to exascale and beyond, sorting out the relationship between computing and experimental facilities, the need for speed and AI’s role in making it all work.
• ### Two MCS technologies win R&D 100 awards for 2021

Two research teams from the Mathematics and Computer Science Division at Argonne National Laboratory have received 2021 R&D 100 Awards.
• ### Argonne collaboration advances applications of AI in health care

AI techniques today leave sensitive patient data at risk of being exposed. Learn how Argonne is collaborating with organizations to overcome this challenge and expand the use of AI within health care.

Argonne has received $3 million in funding to develop artificial intelligence and machine learning technology that has the potential to tackle some of the country’s biggest data challenges. • ###$1.2 million award helps Argonne steer manufacturers toward supercomputing

Argonne is using its computing power and expertise to help U.S. companies improve energy efficiency in manufacturing and materials development.
• ### For the love of high performance computing: Attendees worldwide learn supercomputing skills at annual Argonne training program

Early career scientists from around the world got intensive, hands-on training using supercomputers at the coveted Argonne Training Program on Extreme-Scale Computing.
• ### Argonne and Parallel Works Inc. win FLC recognition for commercializing lab’s machine learning-based design optimization software technology

By embedding machine learning into the design process, ML-GA dramatically speeds up computer-aided virtual prototyping, shrinking the product development phase from a few months to a few days while also bringing down computational costs.
• ### Argonne teams up with GEVO to apply lab’s GREET Model to company’s net-zero project

Argonne’s Greenhouse gases, Regulated Emissions, and Energy use in Technologies Model (GREET), using data provided by Gevo, is expected to yield results about its carbon footprint within a few months.