Tuesday, December 19, 2017

Researchers using AI to learn from expert bricklayers

Artificial intelligence (AI) is giving researchers at Waterloo Engineering new insights to help reduce wear-and-tear injuries and boost the productivity of skilled construction workers.

Studies using motion sensors and AI software have revealed expert bricklayers use previously unidentified techniques to limit the loads on their joints, knowledge that can now be passed on to apprentices in training programs.

Wednesday, June 28, 2017

Reading the minds of deep learning AI systems

As expectations soar in the exploding field of artificial intelligence (AI), a small but growing group of researchers is buckling down on a fundamental problem: understanding how increasingly complex computer programs actually work.

One of those researchers is Devinder Kumar, a doctoral candidate in systems design engineering at the University of Waterloo who gave a keynote address on his work recently at the prestigious AI Toronto conference.

Wednesday, June 7, 2017

Artificial intelligence-driven imaging research makes diagnosing disease easier

A recent advancement in microscope imaging technology at the University of Waterloo could soon make diagnosing disease more accessible and affordable.

The advancement, developed by Waterloo researchers Farnoud Kazemzadeh and Alexander Wong, has led to a new form of spectral light-fusion microscope for capturing lightfield images in full-colour. Full-colour images are required in pathology as it enables the microscope user to analyze the behaviour and interactions of different organisms at a scale that much larger than traditional microscopes.

Tuesday, June 6, 2017

How Figure 1, the “Instagram For Doctors” app, plans to introduce AI

Figure 1 has made a name for itself as a social network that lets medical professionals discuss photos of patient conditions with colleagues around the world.

“They can learn in real time from other people experiencing and seeing cases,” says Dr. Joshua Landy, a practicing physician and cofounder of Figure 1. “If you’re seeing a case, you can take a picture of it, you can describe it and ask for help, and you can even page a specialist.”

Tuesday, May 23, 2017

Improving physiotherapy using sensors and machine learning

People recovering from hip and knee replacements perform rehabilitative exercises better when they get immediate visual feedback, initial testing of new technology has shown.

multi-year project at the University of Waterloo combined motion sensors with software programs to enable typically elderly patients to watch how they were doing on a computer screen compared to the target movement.

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