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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.

Doctors are hoping that artificial intelligence could be the key to detecting signs of melanoma skin cancer far earlier than the current methods of diagnosis allow.  The machine-learning software, developed by the University of Waterloo, Canada, would hopefully shorten the current process which relies entirely on patients presenting lesions (such as moles) and doctors then judging them on their appearance alone.