News archive - 2019

Thursday, July 18, 2019

A strong negative result provides insight to improve RFID sensing systems

Srinivasan Keshav, Liqiong Chang, Ju Wang and Omid Abari

Radio frequency identification (RFID) tags, those tiny ribbons of metal with a tiny chip, are found in countless objects. From key fobs and payment cards to library books and inventory in a factory, these embedded inexpensive tags provide a way to uniquely and wirelessly identify objects.

Wednesday, July 17, 2019

Researchers in the Faculty of Mathematics part of NRC collaboration

Sandra Banks, Feridun Hamdullahpur, and two NRC representatives

On June 21, 2019, the University of Waterloo and the National Research Council of Canada (NRC) announced a new innovation collaboration on campus. The Collaboration for Artificial Intelligence, Internet of Things, and Cybersecurity will develop expertise to further research in these areas nationally and internationally. 

Monday, July 15, 2019

Emotionally intuitive artificial intelligence

Jesse Hoey

People suffering from the early symptoms of Alzheimer’s disease often have difficulty remembering things that recently happened to them. As the disease takes root, a person’s reasoning and behaviour can change. Day-to-day routines — like handwashing — may become challenging for them and they begin to need more assistance from caregivers for simple tasks.

But now there is technology that can help. Learn more about the software.

Sunday, July 14, 2019

C&O graduate students win Crypto 2019 Best Young Researcher Award

International Association for Cryptologic Research

C&O graduate students Samuel Jaques and John Schanck have won the Best Young Researcher Paper Award at Crypto 2019, the 39th Annual International Cryptology Symposi

Tuesday, July 9, 2019

New technique developed to detect autism in children

Young boy outside

Researchers have developed a new technique to help doctors more quickly and accurately detect autism spectrum disorder (ASD) in children.

In a study led by the University of Waterloo, researchers characterized how children with ASD scan a person’s face differently than a neuro-typical child. Based on the findings, the researchers were able to develop a technique that considers how a child with ASD gaze transitions from one part of a person’s face to another.

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