Events

Please join us on December 4 from 10 am to 11:30 am as we mark the National Day of Remembrance and Action on Violence Against Women in commemoration of the 1989 École Polytechnique Massacre.

December 6 marks the anniversary of the murder of 14 women engineering students at l’École Polytechnique de Montreal in 1989. Since then, the day has been declared The National Day of Remembrance and Action on Violence Against Women in Canada. Every year the U of T community commemorates the national tragedy and also reflects on the many ways all women continue to experience gender-based violence—from missing and murdered Indigenous women, transgender women, and the broad spectrum of women from vulnerable populations.

This year’s virtual event will take place on December 4 and is titled “Actions within the Intersections: Past, Present and Future”. It will feature a fireside chat with U of T students, staff, and faculty discussing the most relevant issues in gender-based violence and their intersections. This is an opportunity to share the concrete actions we can take in our communities to question, call out, and combat acts of gender-based violence.

Join us this month as Professor Ervin Sejdić (ECE) will discuss the recent advances of artificial intelligence and how it is transforming the healthcare industry.

Artificial intelligence is an exciting field spanning computer science, engineering, mathematics, and statistics. In recent years, it has become a hot topic that promises to revolutionize many aspects of our daily lives ranging from our cars to our health. However, only a few truly understand what artificial intelligence represents, and how it can be helpful in our professional lives.

Professor Sejdić will address a question that we often ask ourselves: Will artificial intelligence replace my clinician? He will also cover some of recent developments dealing with artificial intelligence and dysphagia, a swallowing disorder caused by a variety of neurological conditions (e.g., stroke, cerebral palsy, Parkinson’s disease), head and neck cancer, genetic syndromes, and iatrogenic conditions or trauma. A recently proposed field called computational deglutition is a collaboration between clinicians and the data science community aimed at the development of clinically relevant algorithms that will aid clinicians during the assessment and treatment of swallowing disorders.

View Professor Sejdić’s professional bio and register for this free and exclusive event.

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.