Machine Learning for Understanding Construction Resource Use and Embodied Greenhouse Gases. Big Problem/Small Data

Online

The Joint CARTE (University of Toronto) and University of Seoul Applied AI/DS seminar series welcomes Professor Shoshanna Saxe. Registration: Please register through here. Abstract: We are currently facing two pressing 21st challenges that are in tension. On one hand, there is demand for a massive expansion of the built environment to meet social and economic […]

The Challenge of Speaker Recognition and Spoofing Detection

Online

The Joint CARTE (University of Toronto) and University of Seoul Applied AI/DS seminar series welcomes Professor Ha-Jin Yu. Registration: Please register through this link. Abstract: Speaker recognition is the task of identifying who is speaking from their voices. Recently, deep learning has dramatically revolutionized speaker recognition. However, the performance degrades when the utterance is too short […]

Uniform Pessimistic Risk and Optimal Portfolio

Online

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, […]

Machine Learning in Physical Asset Management

Online

The Joint CARTE (University of Toronto) and University of Seoul Applied AI/DS seminar series welcomes Professor Chi-Guhn Lee. Registration:Please register through this link. Abstract: Complex systems we face today consists of numerous sub-systems and components, and its continuous operation depends on that of sub-systems and components. As such, we at C-MORE (Centre for Maintenance Optimization […]

The Role of Ontologies in Smart Cities

Online

The Joint CARTE (University of Toronto) and University of Seoul Applied AI/DS seminar series welcomes Professor Mark Fox. Registration: Please register through here. Abstract: "Ontologies are a useful tool for representing knowledge in a structured and formal way, and this can be particularly useful in the context of machine learning. An ontology typically defines a […]

Learning Invariant Representation

Online

The Joint CARTE (University of Toronto) and University of Seoul Applied AI/DS seminar series welcomes Professor Kyungwoo Song. Registration: Please register through this link. Abstract: Minimizing the traditional training error leads to absorbing all of the spurious correlations of a given training dataset. These spurious correlations interrupt the machine learning fairness and generalization performance of […]

The Role of Randomization in Trustworthy Machine Learning

Online

The Joint CARTE (University of Toronto) and University of Seoul Applied AI/DS seminar series welcomes Professor Nicolas Papernot. Registration: Please register here. Abstract: Machine learning has been perhaps this decade’s most significant technological development, with the prospect of becoming a general-purpose technology. Applications range from autonomous driving to assisting with court decisions. In many of […]

Knowledge-Based Planning: Prediction, Optimization, and Open-Access Advances

Online

The Joint CARTE (University of Toronto) and University of Seoul Applied AI/DS seminar series welcomes Professor Timothy Chan. Registration: Please register through here. Abstract: In this talk, I will present recent work our group has done in knowledge-based planning, including the development of dose prediction and optimization models. I will also discuss the organization and […]

Building the next generation interactive devices

Online

The Centre for Analytics and Artificial Intelligence Engineering (CARTE) hosts Dr. Afsaneh Fazly, Research Director at the Samsung Toronto AI Centre. Abstract: Wouldn't we all love to seamlessly communicate and interact with our cell phones, smart watches, and even our home appliances? This is indeed the holy grail of AI: to build machines and systems […]

Building Data Science Solutions for Personalized Health and Medicine

Online

The Centre for Analytics and Artificial Intelligence Engineering (CARTE) hosts Dr. Shiva Amiri, Director of Research Infrastructure at 23andMe, who will discuss building genomic analytics and machine learning platforms for personalized health and drug discovery. Abstract: This seminar will cover building genomic analytics and machine learning platforms for personalized health and drug discovery using the […]