Thu, Dec 31 2020

Happy New Year! As we enter 2021, I want to share with you three wishes I have for AI in the upcoming year. I hope we can: Narrow the gap between proofs-of-concept and production. While building good models is important, many organizations now…

arXiv.org – Nov 5, 2020

Download PDF Abstract: This review intends to summarise the key qualities, current challenges and future perspectives faced by the GA technique. Their implicit parallelism and evolutionary operators allow an optimal balance between exploration and…

arXiv.org – Dec 28, 2017

Abstract: Neural network training relies on our ability to find 'good' minimizers of highly non-convex loss functions. It is well-known that certain network architecture designs (e.g., skip connections) produce loss functions that train easier, and…

Welcome to another edition of the Montreal AI Ethics Institute's weekly newsletter that will help you navigate the fast-changing world of AI Ethics! This week is a retrospective roundup post. More about us at montrealethics.ai/about. We're trying a…

This month, Google forced out a prominent AI ethics researcher after she voiced frustration with the company for making her withdraw a research paper. The paper pointed out the risks of language-processing artificial intelligence, the type used in…