Our goal is to develop the scientific understanding and carry out the discovery science required to build ultra-dense, fast, DNA-class memory and synaptic memory that will be used in neuromorphic engines that can approach biological energy efficiencies.
Early career scientists from around the world got intensive, hands-on training using supercomputers at the coveted Argonne Training Program on Extreme-Scale Computing.
Simulations and edge computing could help to tame some of the complexities of cities and make them more livable places for all, says Charles Catlett, director of the Urban Center for Computation and Data at the University of Chicago.
The LANS group provides a hub for Argonne computing activities in computational mathematics, data-driven methods, numerical analysis, numerical libraries, and optimization.
