Ritesh Agarwal of the School of Engineering and Applied Science is featured for leading a group of scientists to discover a photonic spin sensor.
Big data sets are important tools of modern science. Mining for correlations between millions of pieces of information can reveal vital relationships or predict future outcomes, such as risk factors for a disease or structures of new chemical compounds.
Doctoral candidate Steve McGill of the School of Engineering and Applied Science is highlighted about RoboCup 2015.
This summer, three undergraduate students at the University of Pennsylvania are studying the best ways to research and promote effective charitable giving.
A robot named THORwin, designed by Penn students is featured for winning the “adult-size humanoid” category in the RoboCup soccer final competition.
By encoding information in photons via their spin, “photonic” computers could be orders of magnitude faster and efficient than their current-day counterparts. Likewise, encoding information in the spin of electrons, rather than just their quantity, could make “spintronic” computers with similar advantages.