Early career scientists from around the world got intensive, hands-on training using supercomputers at the coveted Argonne Training Program on Extreme-Scale Computing.
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-driven technology is part of a broad initiative to answer fundamental questions about the birth of matter in the universe and the building blocks that hold it all together.
