LA PLUME — A Keystone College faculty member presented research on the use of high-powered computing that may one day help find cures for cancer and other life-threatening diseases.
Robert Nardelli, of Eynon, assistant professor of information technology at Keystone, presented research on cutting-edge technology in the areas of machine learning and quantum computing at Pace University’s Michael L. Gargano 16th annual Research Day in Pleasantville, New York. Nardelli presented the paper as part of his research for his doctorate in information technology.
The paper, “Comparing Tensor Flow Deep Learning Performance and Experiences Using CPU’s via Local PCs and Cloud Solutions,” dealt with the use of machine learning and deep learning algorithms in an attempt to solve highly complex problems comparing different computer platforms. Machine learning is a field of computer science using statistical techniques to give computer systems the ability to learn without explicitly being programmed. Deep learning is a new area of machine learning which has been introduced to solve problems through artificial intelligence. Quantum computing, which is in its infancy, takes computing power to the next level and has the ability to solve problems much more quickly than classical computers.