From differentially private medical imaging to federated learning and digital twins, three international researchers present cutting-edge work Wednesday, Sept. 23
Read more … Acadia CS Grad Students Tackle AI's Fairness and Privacy Frontiers at MITACS GRI 2026
Can we predict whether an AI's debugging advice is actually good advice, before a student ever sees it? A new paper by Brendan Toscano tackles exactly that question, using thousands of real student coding submissions to build models that flag helpful feedback from unhelpful fixes.
Read more … NEW PUBLICATION: ESTIMATING THE PLAUSIBILITY OF LLM-GENERATED DEBUGGING FEEDBACK
A new IEEE paper has been published by the research group led by Dr. Esteve Hassan, building on the team’s work exploring the use of artificial intelligence and emerging technologies to enhance museum experiences.
