Topic: Bridging Online and Offline Learning Towards Improved Data-Driven Decision Making Speaker: Yunzong Xu, MIT Abstract Machine learning is playing an increasingly important role in decision making, with key applications ranging from dynamic pricing and recommendation systems to personalized medicine and clinical trials. While supervised machine learning traditionally excels at making predictions based on i.i.d. offline […]

Andreas Lendlein, University of Potsdam Host: Prof. Frank Gu Functionalization of materials aims at predetermining their behavior and fate in application relevant system environments. Various chemistry-based approaches are established such as covalent coupling of bioactive molecules to foster their interaction with cells or incorporation of easily cleavable bonds to gain degradability. The shape-memory effect is an […]

The Joint CARTE (University of Toronto) and University of Seoul Applied AI/DS seminar series welcomes Professor Jong-June Jeon. Registration: Please register through this link. Abstract: The optimality of allocating assets has been widely discussed with the theoretical analysis of risk measures. Pessimism is one of the most attractive approaches beyond the conventional optimal portfolio model, and the alpha-risk […]

Room 202, Galbraith Building 35 St. George Street   How can we emerge from the stress-strain of Covid-times to thrive in our everyday lives? This Leadership Lab begins with a short lesson on a core concept of Positive Psychology: Resilience. With this powerful idea framing our thinking, we’ll move into action-planning mode. You’ll leave the […]

Back-to-Back Lectures, 50 minutes with 10 minutes for Q&A each: Lecture 1: Euler-Bernoulli Beam Theory for 2nd-year undergraduate students Lecture 2: Humanistic Engineering Design (Advanced Design Topic for 4th-year undergraduate or 1st-year graduate students) Bio Mikhail Burke is a U of T Alum who completed both his BASc in Materials Science and Engineering (2012) and […]

CARTE Industry Speaker Seminar Series welcomes Jonathan Armitage, Lead Machine Learning Developer at AltaML, for an in-person seminar. Topic: Visual Crack Detection via Rectangular Stitching Speaker: Jonathan Armitage, Lead Machine Learning Developer at AltaML Moderator: Professor Daniela Galatro, University of Toronto Registration: Please register by filling out this form. Capacity is limited. Please register early to avoid disappointment. Abstract: Safety is a […]

Interested members of the U of T community who would like to attend the seminars can email Kendra Hunter at hunter@mie.utoronto.ca Professor Michael McAlpine University of Minnesota (Department of Mechanical Engineering) 3D Printing Active Electronic Devices Abstract The ability to three-dimensionally pattern semiconducting electronic and optoelectronic materials could provide a transformative approach to creating active electronic devices […]