21 Search results for: parham aarabi
AI-generated virtual users developed by Professor Parham Aarabi (ECE) suggest that colour-blindness results in a 30% higher click rate on monochrome images
Professor Parham Aarabi has set up a tool using a simple email-based interface to remind participants of important information based on algorithmic priority and a relevant index of keywords
U of T service measures the performance of AI algorithms across diverse inputs, such as gender, age and race.
Two new research papers aim to expand the use of VR for personal and professional applications
A look back at five engineering stories that captured readers’ attention in 2018
New algorithm protects users’ privacy by dynamically disrupting facial recognition tools designed to identify faces in photos
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