News archive - January 2019

Thursday, January 31, 2019

Hybrid electricity system would reduce rates, improve service

Powerlines

A new distribution system designed by researchers at the University of Waterloo would reduce electricity prices by more than five per cent while also improving service reliability.

The design involves the integration of the two kinds of electric current that power homes, industries and electric vehicles - alternating current (AC) and direct current (DC).

Monday, January 28, 2019

New report sets climate tests for project assessments

Thermometer


A new report by climate and assessment experts has developed a set of tests that could help determine whether federal projects support Canada’s commitment to the Paris Agreement. 

The Paris to Projects report was authored by experts from the universities of Waterloo, Dalhousie, Concordia as well as the Quebec Centre for Environmental Law. 

Monday, January 21, 2019

Pharmacists could help reduce smoking rates

Man Smoking

Enlisting the help of pharmacists could help in the quest to get people to quit smoking, according a white paper released by the University of Waterloo.

The paper details ways in which an increased role for pharmacists in the public health effort could help curb smoking rates and aim to reduce the estimated 45,000 annual deaths that occur in Canada from tobacco use.

The week of January 21 to 27 is National Non-Smoking Week in Canada.

Friday, January 18, 2019

Weathering the Storm: Developing a New Flood Risk Standard for Canadian Communities

High Water

Flooding within urban centres is Canada’s costliest and fastest growing extreme weather challenge. Insurable claims in Canada have risen from an average of $405 million per year between 1983 and 2008 to an average of $1.8 billion per year between 2009 and 2017 (in $2017), with flooding contributing the greatest proportion of this increase.

Thursday, January 17, 2019

Measuring AI's ability to learn is difficult

Artificial Intelligence image

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.

In a study published in Nature Machine Intelligence, Waterloo researchers 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.

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