Perimeter Institute organizes a lively program of seminars, regularly exposing researchers and students to current ideas in the wider theoretical physics community. In addition, many of the colloquium talks provide content outside of, but related to, core disciplines. Scientists at surrounding universities and institutions are welcome to attend.
All of our seminars are held online during the COVID-19 pandemic.
Explore details and listings below for offerings arranged by study area. Many of the colloquium talks provide content outside of, but related to, core disciplines at Perimeter. Scientists at surrounding universities and institutions are welcome to attend.
Chair: Roger Melko
The adoption of machine learning (ML) into theoretical physics comes on the heels of an explosion of industry progress that started in 2012. Since that time, computer scientists have demonstrated that learning algorithms - those designed to respond and adapt to new data - provide an exceptionally powerful platform for tackling many difficult tasks in image recognition, natural language comprehension, game play and more. This new breed of ML algorithm has now conquered benchmarks previously thought to be decades away due to their high mathematical complexity. In the last several years, researchers at Perimeter have begun to examine machine learning algorithms for application to a new set of problems, including condensed matter, quantum information, numerical relativity, quantum gravity and astrophysics.
These talks occur on Fridays at 11:00 am.
Chairs: Alex May, Jon Yard
This series consists of weekly discussion sessions on Quantum Foundations and Quantum Information. The sessions start with an informal exposition of an interesting topic, research result or important question in the field. Everyone is strongly encouraged to participate with questions and comments.
Talks occur on Wednesdays at 3:30 pm.