Research

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.

Daniel Gorman - British History and International Relations

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. 
 

Researchers from the University of Waterloo found that almost one-third of non-urgent ED visits in Ontario were for conditions that could potentially be managed by pharmacists with an expanded scope of practice – available in other jurisdictions in Canada.

Researchers at the University of Waterloo have found a novel method to help travellers protect sensitive information from border control agents.

Chris Eliasmith
Professor, Faculty of Arts and Faculty of Engineering
> Co-Founder, Applied Brain Research inc.
> Director, Centre for Theoretical Neuroscience

The notion that robots could possess something akin to a human brain seems like science fiction.

A study from the University of Waterloo and Schlegel-UW Research Institute for Aging has found that newly admitted residents’ history of heart failure, as well as their score on the interRAI Changes to Health, End-Stage disease, Signs and Symptoms (CHESS) scale, can accurately determine which residents are most at risk.
 

Researchers at Waterloo Engineering have created a powder that could be used to reduce greenhouse gases at factories and power plants that burn fossil fuels.

The advanced carbon powder, developed using a novel process in the lab of chemical engineering professor Zhongwei Chen, could filter and remove carbon dioxide (CO2) from emissions with almost twice the efficiency of conventional materials. 

Scientists at the University of Waterloo have created a powder that could capture carbon dioxide (CO2) from factories and power plants.

The advanced carbon powder, developed using a novel process in the lab of Zhongwei Chen, a chemical engineering professor at Waterloo, could filter and remove CO2 from emissions at facilities powered by fossil fuels before it is released into the atmosphere with twice the efficiency of conventional materials. 

Costly water losses in municipal water systems could be significantly reduced using sensors and new artificial intelligence (AI) technology.

Developed by researchers at the University of Waterloo in collaboration with industry partners, the technology has the potential to detect even small leaks in pipes.It combines sophisticated signal processing techniques and AI software to identify telltale signs of leaks carried via sound in water pipes.