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At the Annual Conference on Neural Information Processing Systems (NIPS 2017) Prof. Alexander Wong (Canada Research Chair in Medical Imaging Systems) and his PhD student Devinder Kumar won the Best Paper Award from the Transparent and Interpretable Machine Learning in Safety Critical Environments workshop.  NIPS is the premiere conference in machine learning hosting over 6000 machine learning experts and industrial participants from top organizations including Google, Microsoft, IBM, Nvidia, and Tesla.

Researchers at the University of Waterloo in Canada have made a breakthrough in artificial intelligence(AI). New machine learning algorithms, along with compact computer chips small enough to fit on a mobile phone, have allowed for an AI to run independent of the Internet.

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Wednesday, November 1, 2017

Gesture Recognition using mm-Waves

At the University of Waterloo, research is being done into the use of wireless systemsmachine learning, and artificial intelligence to recognize gestures and ultimately simplify the control of various machinery and equipment.

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MONTREAL, Oct. 10, 2017 /CNW Telbec/ - The Minister of Innovation, Science and Economic Development of Canada, the Honourable Navdeep Bains, announced today that nine applicants have been shortlisted in the second phase of the Innovation Superclusters Initiative.

Friday, October 6, 2017

Building trust in AI

New software developed at the University of Waterloo aims to give insight to regulators and financial firms into the predictions made by self-teaching algorithms that are otherwise something of a mystery from the outside, the Waterloo, Ont.-based institution announced on Friday.

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The Rubik’s Cube is one of those toys that just won't go away. Solving it is either something you can do in minutes to impress, or find so hard you end up using it as a paperweight.

Can software learn how to solve the cube all on its own? It’s an interesting problem that Jeremy Pinto, a systems design engineering master’s student who recently graduated from the University of Waterloo, Canada, decided to crack. He wanted to see if a neural network could figure out how to solve a Rubik’s Cube.