Thursday, September 5, 2019

SE Students Organize Citizen Hacks

This weekend in Toronto, a group of Software Engineering students will be running Citizen Hacks, a new hackathon about privacy and socially beneficial technology. The event encourages youth to tackle the challenge of privacy in technology and begin to develop a design orientation that considers technology’s broader social impacts.

Thursday, July 25, 2019

SE Capstone ‘Lukabox’ wins Baylis Medical award

Fourth year SE students Spencer Dobrik, David Tsenter, Ryan Wang & Aaron Cotter are winners of the Spring 2019 Baylis Medical award for their health-tech capstone venture, Lukabox. Their aim is to solve medication non-adherence through an IoT pillbox that helps patients stay on top of their medication routines, while giving peace of mind to family members through seamless, real-time monitoring. They are thrilled to receive the Baylis Medical award and are proceeding with an initial round of user testing.

Friday, June 14, 2019

Convocation 2019

Congratulations SE 2019! All the best for the future!

Tuesday, March 26, 2019

SE Capstone TagBull wins Velocity $5k pitch competition

SE Capstone team TagBull aims to harness the power of video game players to train artificial intelligence systems. An AI system for an autonomous vehicle, for example, might be trained to recognize pedestrians from thousands of photos of street scenes in which the pedestrians have been labelled by a person who plays video games. The gamer would earn in-game rewards for their efforts, and the dataset owner would pay TagBull and the video game company for the labelling work.

Tuesday, March 26, 2019

SE Capstone TagBull wins Velocity $5k pitch competition

SE Capstone team TagBull aims to harness the power of video game players to train artificial intelligence systems. An AI system for an autonomous vehicle, for example, might be trained to recognize pedestrians from thousands of photos of street scenes in which the pedestrians have been labelled by a person who plays video games. The gamer would earn in-game rewards for their efforts, and the dataset owner would pay TagBull and the video game company for the labelling work.

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