Organizations looking to benefit from the artificial intelligence (AI) revolution should be cautious about putting all their eggs in one basket, a study from the University of Waterloo has found.
The study, published in Nature Machine Intelligence, found that contrary to conventional wisdom, there can be no exact method for deciding whether a given problem may be successfully solved by machine learning tools.
Professor Shai Ben-David and his colleagues Pavel Hrubes, Shay Moran, Amir Shpilka and Amir Yehudayoff have shown that a simple machine learning problem — whether an algorithm can extract a pattern from limited data — is mathematically unsolvable
The following article, titled “Women Attorneys in Tech: Four Industry Leaders Talk About Their Work,” originally appeared in the January/February 2019 issue of New York State Bar Association Journal. Grossman, a Research Professor in the Cheriton School of Computer Science, was recently appointed as Director of Women in Computer Science.
The article, by Mark A. Berman, Editor, New York State Bar Association Journal, showcases four exceptional women attorneys in tech — Shoshanah Bewlay, Gail Gottehrer, Sandra Rampersaud and Maura Grossman.
Computer scientists at the David R. Cheriton School of Computer Science have found a novel method to help travellers protect sensitive information from border control agents.
The system is being developed into an app called “Shatter Secrets” by Erinn Atwater, who is the research director of the not-for-profit Open Privacy, an organization dedicated to understanding, researching and serving the privacy needs of marginalized and highly targeted at-risk communities.