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3D printers in the Multi-Scale Additive Manufacturing (MSAM) Laboratory and in the Print and Retail Solutions Department at the University are being used to build certified pieces of the protective equipment from a special material currently in short supply throughout the local medical community.

The University’s efforts build on the significant work of local entrepreneurs like InkSmith CEO Jeremy Hedges, whose company was recently certified by Health Canada to mass-produce protective shields for healthcare workers.

Monday, March 30, 2020

Waterloo supports front line of COVID-19 pandemic

by Natalie Quinlan, University Relations

PPE supplies

Two van loads of personal protective equipment supplies delivered to a regional distribution hub on Friday, March 27.

In the wake of COVID-19, Canada is calling on communities to fight a global pandemic.

At home, the University of Waterloo is offering the skills, time and resources to help against the spread of the coronavirus.

The University of Waterloo will deliver a Spring Academic Term that will be conducted online. 

“We have made the decision to continue with an alternative delivery system for Spring Term, meaning that regrettably we are not going to deliver in-person course activity," said Feridun Hamdullahpur, president and vice-chancellor of Waterloo. “While there is nothing like learning in person, this allows us to make sure that we can continue to deliver a great academic experience for our students during this extraordinary time. 

Open source projects are online spaces where software developers work together to improve computer code that is made available to anyone. Each project is managed by a person whose job it is to accept or reject the offer of help from a software developer.

In a recent study, the Waterloo researchers found that social factors, such as past experience, remain the most influential element in the acceptance or rejection of online contributors’ work. But they also found that personality traits are an essential part of the decision. 

Friday, March 13, 2020

University of Waterloo appoints new Dean of Engineering

by Media Relations

The University of Waterloo has named a respected university administrator and academic as its next Dean of the Faculty of Engineering.

Mary Wells, an accomplished materials engineer, is known for her strategic leadership in building collaborative and strong relationships within a university setting and for her work in attracting, engaging and retaining women in the engineering industry.

Wells currently serves as the University of Guelph's Dean of the College of Engineering and Physical Sciences, a position she has held since 2017.

Wednesday, March 11, 2020

AI taps human wisdom for faster, better cancer diagnosis

by Media Relations

A new system combining artificial intelligence (AI) with human knowledge promises faster and more accurate cancer diagnosis.

The powerful technology, developed by a team led by engineering researchers at the University of Waterloo, uses digital images of tissue samples to match new cases of suspected cancer with previously diagnosed cases in a database.

Wednesday, March 11, 2020

Synaptive Medical increases access to MRI

by Claire Mastrangelo, Office of Advancement

Synaptive Medical’s office is buzzing on a bright afternoon in February. Health Canada just approved the company’s latest product, Evry™, an MRI system for emergency rooms. Co-founder and president Cam Piron (BASc ’98) has just arrived on a redeye flight from Calgary, and he’s on his way to the office to give interviews and begin next steps with his team. 

“We have one system installed in Nova Scotia, and a few sites ready to go in Toronto,” he says. “It’s going to be very exciting for us to see physicians use Evry to treat patients.”

The collaborative effort resulted in the creation of an open-source hybrid quantum-classical machine learning software platform, called TensorFlow Quantum. 

TensorFlow Quantum integrates Google’s Cirq and TensorFlow and will allow for the rapid prototyping, training, inference, and testing of hybrid quantum-classical machine learning models to learn representations of classical or quantum data. 

Hybrid quantum-classical machine learning is a field of research that aims to combine the power of quantum computing with that of Artificial Intelligence (AI).