COVID-Net: Final ReflectionsThoughts and thanks as we transition the project to the University of WaterlooNov 25, 2021Nov 25, 2021
Published inDarwinAICOVID-NET CT-2: An Evolutionary LeapAn update from DarwinAI’s CEO, Sheldon Fernandez about the COVID-NET project.Jan 26, 2021Jan 26, 2021
Published inDarwinAIBeyond Explainability: Quantifying the Trustworthiness of a Neural NetworkExplainability tells us how AI works, but says nothing about when it can be trusted. This limitation must be confronted.Nov 10, 2020Nov 10, 2020
Published inDarwinAICOVID-Net-S: A neural network to detect COVID SeverityDear Colleagues,Sep 21, 2020Sep 21, 2020
Published inDarwinAIPandemics don’t wait: How we built COVID-Net in under 7 days“Imagination is the highest form of Research” — Albert EinsteinMay 25, 2020May 25, 2020
Published inDarwinAICOVID-Net: More data, CT Scans and Risk StratificationDear Colleague,Apr 19, 2020Apr 19, 2020
Published inDarwinAICOVID-Net: larger dataset, new models, and COVID-RiskNetDear Colleague,Mar 29, 20201Mar 29, 20201
Published inDarwinAICOVID-Net: an open source neural network for COVID-19 detectionDear Colleague,Mar 23, 20205Mar 23, 20205
