U of T Engineering alumni, join us for this monthly series.
Artificial Intelligence (AI) is now a part of the standard physical scientist’s tool kit, and it is regularly used to discover exciting new materials and processes. But AI is famously fickle, susceptible to data set bias and imbalance, subject to information leakage during training, and reliant on humans to evaluate its performance.
Professor Jason Hattrick-Simpers (MSE) discusses best practices for the implementation of AI techniques in the field of materials science, the challenges and successes of his research, and why he believes that robots can help us learn to better trust AI.
Read the abstracts and register for this free and exclusive event.
U of T Engineering alumni, join us for this monthly series. Learn about exciting research in diverse subjects from U of T Engineering professors.
join us for an exclusive Skule™ Lunch & Learn featuring ECE Professor Jonathan Rose (EngSci 8T0, ElecE MASc 8T2, PhD 8T6).
Picture this: A future where the latest AI language capability offers accessible talk therapy at any time, in any location.
Professor Jonathan Rose’s research into Natural Language Processing and applications in mental health includes a widely used behaviour-change chatbot to aid smokers in their path to quitting. In this presentation, he will present insights from the experimental deployment of his most recent versions of the chatbot, and also comment on the latest Large Language Models (cousins of ChatGPT) and how they could outperform previous models.
Register today and embark on a journey into the future of mental health support.
Virtual: A Zoom link will be sent to all guests who registered.
Cost: Free
*NEW INITIATIVE*
By registering for the Skule Lunch & Learn event, you can earn Continuing Professional Development (CPD) credits. CPD is essential for professional engineers and limited licence holders to renew their licenses annually.
To determine if this Skule Lunch & Learn presentation can be counted towards your CPD hours, please consider the following criteria from PEO & PEAK Program:
- Contribute to enhancing or maintaining the practitioner’s engineering competence,
- Feature engineering learning content relevant to their practice area
- Provide technical or regulatory knowledge pertaining to professional engineering acts,
- Not count as their professional practice hours or acts of professional engineering.