News for Media

Wednesday, April 24, 2019

Machine-learning earnings: Novel approach triples investment success

University of Waterloo researchers have developed a new framework that increases the probability of meeting your investment target by threefold.

The data-driven approach, which is enhanced by machine learning, significantly outperforms traditional methods used by investors and people saving for retirement.

Tuesday, April 23, 2019

Harnessing star power: What every leader can learn from top NHL teams

puck scoring on net

New research has found important lessons for leaders on the ice and in the boardroom.

Using data from five National Hockey League seasons, researchers from the University of Waterloo have shown that long-term success is largely determined by a team’s tendency to save their best players for situations in which these players would have the most impact.

What this shows, according to the study, is that that the amount of human capital an organization has at its disposal is not its ultimate driver of success -- it is how the organization puts their human capital to use.

Thursday, October 4, 2018

University of Waterloo to hold 117th convocation

More than 2,000 students will receive their degrees at Waterloo’s 117th convocation, and the University will install a new chancellor and award four honorary doctorates.

Monday, June 11, 2018

Key difference between humans and other mammals is skin deep, says study

While humans and other species share some of the same genetic information, new research found that humans are unique among mammals when it comes to the types and diversity of microorganisms on our skin. This difference could have implications for our health and immune systems.

“We were quite surprised when we saw just how distinct we humans are from almost all other mammals, at least in terms of the skin microbes that we can collect with a swab,” said Josh Neufeld, a professor of biology at the University of Waterloo and senior author of the study.

Wednesday, May 16, 2018

Researchers combine wearable technology and AI to predict the onset of health problems

A team of Waterloo researchers found that applying artificial intelligence to the right combination of data retrieved from wearable technology may detect whether your health is failing.

The study, which involved researchers from Waterloo’s Faculties of Applied Health Sciences and Engineering, found that the data from wearable sensors and artificial intelligence that assesses changes in aerobic responses could one day predict whether a person is experiencing the onset of a respiratory or cardiovascular disease.

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