AI Toronto is Canada's National AI Conference run by the Digital Finance Institute a prestigious Think Tank for Tech and AI, known for hosting some of the most prominent events in the finance and technology industries world-wide. AI Toronto will discuss Artificial Intelligence, Quantum Computing, Machine Learning, Self-Driving Cars, Innovation, Financial Intelligence, AI Law, Chatbots, the Future of Banking with AI, Robotics, Smart Contracts, Security, Ethics of AI and more. Join us on March 29th 2017, at The National Club in Toronto for an engaging day of learning about the most cutting-edge innovations being made in the AI industry today. There is a Networking event on March 28th from 5:30-7:30 at The National Club for our registered attendees.

Kambhampati presented theoretical planning systems is difficult. Although national AI conference, was lively It was noted that comparing planners encoding expert knowledge is at the and interesting. Both the theoretical is similar in difficulty to comparing heart of HTN planning, there and practical sides of the AI planning programming languages (in fact, the remains a considerable gap to bridge community were represented, input specifications to a planner can in using expert planning knowledge and both sides seemed to understand be viewed as a programming language). Shlomo Zilberstein (University Third, it was generally acknowledged Several papers contributed further of Massachusetts) presented a that common plan representations to the theoretical analysis of number of evaluation measures. A algorithms or through empirical An integrated system that executes common representation would allow studies (Christer Backstrom, or uses the generated plans formal comparisons among widely Linkoping University, Sweden; Subbarao should be evaluated instead of simply different planning technologies.

A robot-building lab and contest was held at the Eleventh National Conference on Artificial Intelligence. Teams of three worked day and night for 72 hours to build tabletop autonomous robots of legos, a small microcontroller board, and sensors. The robots then competed head to head in two events. I was one of the developers of JACK, the second-place finisher in the Coffeepot event. This article contains my personal recollections of the lab and contest.