no code implementations • 1 May 2024 • Sharlee Climer, Kenneth Smith Jr, Wei Yang, Lisa de las Fuentes, Victor G. Dávila-Román, C. Charles Gu
Research data sets are growing to unprecedented sizes and network modeling is commonly used to extract complex relationships in diverse domains, such as genetic interactions involved in disease, logistics, and social communities.
no code implementations • 27 Nov 2021 • Luca Pion-Tonachini, Kristofer Bouchard, Hector Garcia Martin, Sean Peisert, W. Bradley Holtz, Anil Aswani, Dipankar Dwivedi, Haruko Wainwright, Ghanshyam Pilania, Benjamin Nachman, Babetta L. Marrone, Nicola Falco, Prabhat, Daniel Arnold, Alejandro Wolf-Yadlin, Sarah Powers, Sharlee Climer, Quinn Jackson, Ty Carlson, Michael Sohn, Petrus Zwart, Neeraj Kumar, Amy Justice, Claire Tomlin, Daniel Jacobson, Gos Micklem, Georgios V. Gkoutos, Peter J. Bickel, Jean-Baptiste Cazier, Juliane Müller, Bobbie-Jo Webb-Robertson, Rick Stevens, Mark Anderson, Ken Kreutz-Delgado, Michael W. Mahoney, James B. Brown
We outline emerging opportunities and challenges to enhance the utility of AI for scientific discovery.
1 code implementation • 23 May 2017 • Wayne Joubert, James Nance, Sharlee Climer, Deborah Weighill, Daniel Jacobson
The massive quantities of genomic data being made available through gene sequencing techniques are enabling breakthroughs in genomic science in many areas such as medical advances in the diagnosis and treatment of diseases.
Distributed, Parallel, and Cluster Computing Data Structures and Algorithms Performance 65Y05 [Computer aspects of numerical algorithms: Parallel computation], 68W10 [Algorithms: Parallel algorithms]
