AI & Applications
Ada: Self-Driving Robot for Accelerating the Discovery of Thin Film Materials - Curtis Berlinguette, Professor, UBC
Ada: Self-Driving Robot for Accelerating the Discovery of Thin Film Materials - Curtis Berlinguette, Professor, UBC
Please register for this event here. Abstract: This presentation will focus on our self-driving laboratory for thin film materials discovery and optimization. Discovering high-performance, low-cost materials is an integra...
AI & Fundamentals
Learning Generative Models of 3D Shapes: From Implicit Functions to Structured Representations - Richard (Hao) Zhang, Professor, SFU
Learning Generative Models of 3D Shapes: From Implicit Functions to Structured Representations - Richard (Hao) Zhang, Professor, SFU
Please register for this event here. Abstract: Unlike images and video, 3D shapes are not confined to one standard representation. This is one of the challenges we face when developing deep neural networks (DNNs) to learn ...
AI & Applications
Algorithmic collusion with imperfect monitoring - Giacomo Calzolari, Professor, European University Institute
Algorithmic collusion with imperfect monitoring - Giacomo Calzolari, Professor, European University Institute
Please register for this event here. Abstract: Alongside E. Calvano, V. Denicolo', S. Pastorello, Dr. Giacomo Calzolari showed that if they are allowed enough time to complete the learning, Q-learning algorithms can learn t...
AI & Fundamentals
Invariance in machine learning methods: What, why, and then? - Benjamin Bloem-Reddy, Assistant Professor, UBC
Invariance in machine learning methods: What, why, and then? - Benjamin Bloem-Reddy, Assistant Professor, UBC
Please register for this event here. Abstract: Statistical and machine learning methods that incorporate appropriate symmetries have proven hugely successful, from exchangeable probability models and de Finetti's theorem i...
AI & Fundamentals
Normalizing Flows in Theory and Practice - Marcus Brubaker, Assistant Professor, York University; Faculty Affiliate, Vector Institute
Normalizing Flows in Theory and Practice - Marcus Brubaker, Assistant Professor, York University; Faculty Affiliate, Vector Institute
Please register for this event here. Abstract: Normalizing Flows are a class of generative model which have been growing in popularity recently. NFs are a highly expressive form of generative model which all...
General Event
CAIDA Open House
CAIDA Open House
Register Here Join us for our virtual open house. We look forward to connecting with you and showcasing some of the work being done within our centre! Please note that all times are PT. Lab Tours: Kwang Moo Yi ...
AI & Ethics
Hua Ki’i - A Prototype for Developing Ethical Indigenous AI
Hua Ki’i - A Prototype for Developing Ethical Indigenous AI
This event is co-hosted by the Centre for Artificial Intelligence Decision-making and Action (CAIDA) and the Language Sciences Initiative. Please register for this event here. Abstract: The five speakers ...
AI & Applications
Nonconvex Stochastic Nested Optimization - Saeed Ghadimi, Assistant Professor, University of Waterloo.
Nonconvex Stochastic Nested Optimization - Saeed Ghadimi, Assistant Professor, University of Waterloo.
Please register for this event here. Abstract: In this talk, I present a class of stochastic optimization problems in which the objective function is a composition of two or more expectations. This class of problems arises...
Seminar
Creative AI: on the partial or complete automation of creative tasks - Philippe Pasquier, Associate Professor, Simon Fraser University
Creative AI: on the partial or complete automation of creative tasks - Philippe Pasquier, Associate Professor, Simon Fraser University
Please register for this event here. Abstract: Since its origins, Artificial Intelligence (AI) has mostly focused on rational problem solving, and successfully so. However, with it popularization, the main use of computers...
AI & Fundamentals
Robots that Rapidly Adapt to Diverse Tasks and Environments - Deepak Pathak, Assistant Professor, Carnegie Mellon University
Robots that Rapidly Adapt to Diverse Tasks and Environments - Deepak Pathak, Assistant Professor, Carnegie Mellon University
Please register for this event here. Abstract: How can we train a robot that can generalize to perform thousands of tasks in thousands of environments? This question underscores the holy grail of robot learning research d...