News

Professors Pascal Poupart of the Cheriton School of Computer Science and Luis Ricardez-Sandoval of the Department of Chemical Engineering have received $480,000 to strengthen Canada’s supply of critical minerals by applying artificial intelligence to the recycling of rare earth elements.

University of Waterloo–based graph database start-up Kùzu has been acquired by tech giant Apple.

According to a recent report in BetaKit, Apple reached an agreement in October 2025 to purchase all shares of the company and hire select members of its team.

A first-year Waterloo student has developed a program that tracks the real-time speed of every streetcar line in Toronto. Called the TTCLeaderboard, the app is set up like keeping score of a race, ranking the lines from fastest to slowest.

Evolutionary biologists have long known that DNA, the molecule that carries the genetic instructions for the development, functioning, growth and reproduction of all organisms, contains a record of ancestry.

But could genomes also bear an imprint of the environments in which organisms evolved? According to a recent bioinformatics study, the answer, at least for some life forms and for some extreme environments, is an unexpected yes.

As Canada experiences record snowfall, new research from the Cheriton School of Computer Science suggests that tiny amounts of industrial pollution trapped in snow can change how sunlight reaches the ground below and significantly alter fragile environments.  

The culprit is black carbon, a sooty form of pollution produced when fossil fuels burn incompletely. It can come from vehicle exhaust, industrial emissions and other combustion sources. While black carbon is already known to contribute to warming, the Waterloo research highlights another, less visible effect: how it alters the “light environment” under snow in ways that affect plant growth.

Circle has signed an agreement to acquire the Interop Labs team along with its proprietary intellectual property, the company behind the development of the Axelar Network  

Professor Martin Karsten and his former graduate student Peter Cai (MMath ’23) uncovered a subtle but powerful way to make data centres more efficient. Their research could reduce energy consumption by as much as 30 per cent by rethinking how network traffic is processed.

Valentio Iverson, Alice Moayyedi and Beihao Zhou are recipients of the Computing Research Association’s 2026 Outstanding Undergraduate Researcher Awards, an annual program that recognizes exceptional undergraduate researchers from universities across North America.

All three students received honourable mentions in this year’s competition, placing them among an outstanding group of research-focused undergraduates whose work demonstrates technical depth, originality and intellectual creativity.

Drug development is an arduous process that costs billions of dollars and can last for years or even decades. Whether scientists are trying to understand the potential interactions of two drugs or develop new applications for an existing medication, pharmaceutical research features frequent wrong turns and dead ends.

“Often, when we use machine learning to train neural networks, we’re starting from scratch,” says Bing Hu, a PhD student at the Cheriton School of Computer Science. “But by drawing on the enormous amount of domain specific knowledge coming from biology and medicine, we’re able to build more efficient, more accurate models whose predictions consistently match-up with existing data from the real world.”