How often do you wonder about supercomputers and computers that "think" like humans? At Lawrence Livermore National Laboratory, supercomputers have been used to model complex scientific phenomena for decades. Now, scientists are entering a new era in computing, and computers are learning in a way that is similar to the human brain. With enough information, computers can learn to solve problems in novel and interesting ways. Specialized computers can even solve these problems using significantly less energy than "classical" computers, proving to be environmentally friendly while working on science! This talk will describe using supercomputers to solve challenging problems and the evolving technologies of learning systems.

Speaker Bios

Katherine Lewis

Katherine "Katie" Lewis received a B.S. in Mathematics, with a minor in Computer Science, from the University of San Francisco in 1998.  She began her career at LLNL in June of 1998, in the field of massively parallel mesh generation.  Katie has held several positions at LLNL, including both technical and administrative leadership positions. She is currently the Division Leader for the Applications, Simulations, and Quality (ASQ) Division in the Computation Associate Directorate and leads technical efforts combining simulations and machine learning.

Rodger Johnson

Rodger Johnson studied physical science at Cal State Hayward (now East Bay) and has been teaching physics and chemistry in the area since 1992.