Tying machine learning to physics to support new science | #OpenPOWERSummit

Big Data is a powerful technology for business, but that power is even more important in the world of science. While business collects data on customers and processes, science can create staggering amounts of information with a single experiment. Often, that data can take years to work through by conventional means. Big Data processing can turn years into months or weeks. One of the latest tools science has taken up to handle their Big Data needs is machine learning. To gain some insight on recent machine learning programs, David Floyer, cohost of theCUBE, from the SiliconANGLE Media team, spoke to Brock Palen at the OpenPower Summit 2016 convention. Palen is the director of Advanced Research Computing Technology Services at the University of Michigan. A new platform The conversation started as Palen…


Link to Full Article: Tying machine learning to physics to support new science | #OpenPOWERSummit

Pin It on Pinterest

Share This