In the paper, the researchers show that the natural relationship between modern decision tree algorithms, new advances in race logic, and the underlying sensors themselves provides new opportunities for extremely efficient classification.
Prof. Xifeng Yan & Assistant Prof. William Wang are leading the UC Santa Barbara team that was selected to participate in the Alexa Prize TaskBot Challenge. Only ten teams out of 125 applicant teams were selected to compete in this unique artificial intelligence competition.
George Tzimpragos, a fifth year Ph.D. Candidate in the Department of Computer Science at UC Santa Barbara, co-authored an article titled “Temporal Computing With Superconductors” which was featured in the “Top Picks From the 2020 Computer Architecture Conferences” edition of IEEE Journals & Magazine.