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Tuesday, January 22, 2019

Letter to the Editor: TAR and Privilege Review

photo of Maura Grossman

The following article, titled “Letter to the Editor: TAR and Privilege Review,” originally appeared in the January 17, 2019 issue of the New York Law Journal

We strenuously disagree with the notion that the use of technology-assisted review or TAR to assist with the privilege review in the Cohen case would have rendered it unfair or unconstitutional.

Thursday, January 17, 2019

Measuring AI's ability to learn is difficult

photo of Professor Shai Ben-David

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.

Friday, January 11, 2019

Professor Shai Ben-David and colleagues’ work on machine learning featured as front-page article on Nature

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

Thursday, January 10, 2019

Women attorneys in tech: Maura Grossman talks about her work

photo of Maura Grossman

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.

Wednesday, January 9, 2019

App will protect confidential data when crossing borders

Shatter Secrets Android screen

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. 

Friday, December 21, 2018

Q&A with Professor Shalev Ben-David

photo of Professor Shalev Ben-David

Professor Shalev Ben-David completed his PhD at MIT in 2017 under the supervision of Scott Aaronson. He joined the David R. Cheriton School of Computer Science as a faculty member in the summer of 2018 after completing a postdoctoral fellowship at the University of Maryland. 

Learn more about his research and where he sees it heading.

Thursday, December 20, 2018

Velocity Graduate Student Startup Fund

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Have you considered building a startup from your research?

Thursday, December 20, 2018

The elephant in the room: AI tapped to help process a mountain of Virginia Governor Tim Kaine’s emails

image of elephant eating peanuts

By Susangray Eakin Page

The following article appeared originally in the fall 2018 issue of Broadside, the Library of Virginia's periodical magazine. It is republished here with the Librarys permission.

How do you eat an elephant? One bite at a time.

Tuesday, December 18, 2018

In memoriam: Morven Gentleman

photo of Professor William Morven Gentleman

The following in memoriam appeared originally in the Daily Bulletin on Tuesday, December 18, 2018

Former faculty member William Morven Gentleman died on December 13, 2018.

Morven Gentleman joined the University of Waterloo in July 1969 as an Assistant Professor in the Department of Applied Analysis and Computer Science (now the David R. Cheriton School of Computer Science) and later the Department of Statistics. He was later promoted to Associate Professor.

Tuesday, December 11, 2018

Cheriton School of Computer Science researchers study catastrophic effects network failures have on cloud-computing systems

photo of Hatem Takruri, Ahmed Alquraan, Mohammed Alfatafta and Samer Al-Kiswany

Computer clusters power everything from Google and Facebook to online retail and banking. They’re comprised of hundreds or even thousands of machines connected together by networks, typically in a vast data centre.