Our events bring together the latest technology advancements as well as practical examples to apply AI to solve challenges in business and society. Our unique mix of academia and industry enables you to meet with AI pioneers at the forefront of research, as well as exploring real-world case studies to discover the business value of AI.

Last week I was fortunate enough to have attended the RE•WORK Deep Learning Summit Montreal (October 10 & 11), and was able to take in a number of quality talks and meet with other attendees. The conference was split into 2 tracks -- Research Advancements and Business Applications -- and featured a wide array of top neural networks researchers and academics, as well as business leaders. An interesting mix of both industry and academic, RE•WORK did more than enough to prove their professionalism and attention to detail, and this is without mentioning the calibre of speakers they secured for the event. What follows is a summary of some of my favorite talks from the conference, with this selection revolving around the visual reasoning & computer vision blocks which started the conference off. A full listing of the speakers and schedule can be found here. Aaron Courville, of the University of Montreal, kicked off the research developments track of the conference with his talk titled Visual Reasoning via Feature-wise Linear Modulation.

Computer scientists from the University of Toronto have created a software program that helps users avoid fashion faux pas. Raquel Urtasun and Sanja Fidler, along with colleagues in Spain, designed an algorithm that analyzes a person's photograph to determine whether the wearer's outfit is stylish. It also suggests ways to improve the ensemble and the subject's overall appeal.