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Sheldon Fernandez
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Nov 25, 2021

COVID-Net: Final Reflections

Thoughts and thanks as we transition the project to the University of Waterloo “Sheldon, ping me when you have a moment — I have something you should see.” I can still recall reading the Slack message above from our Chief Scientist and wincing. Not intentionally of course. Professor Wong, or…

Covid 19

11 min read

COVID-Net: Final Reflections
COVID-Net: Final Reflections

Published in DarwinAI

·Jan 26, 2021

COVID-NET CT-2: An Evolutionary Leap

Dear Colleagues, It’s been roughly four months since the last update to our COVID-Net initiative. Today, we are extremely proud to announce an evolutionary leap to the effort by way of COVID-Net CT-2. COVID-Net CT-2 was built using a number of large and diverse datasets that we painstakingly created over…

Covid 19

3 min read

COVID-NET CT-2: An Evolutionary Leap
COVID-NET CT-2: An Evolutionary Leap

Published in DarwinAI

·Nov 10, 2020

Beyond Explainability: Quantifying the Trustworthiness of a Neural Network

Explainability tells us how AI works, but says nothing about when it can be trusted. This limitation must be confronted. Earlier this year, in our XAI primer, we introduced the concept of explainability by way of a provocative thought experiment; namely, by asking readers to consider a major scientific advancement…

Xai

12 min read

Beyond Explainability: Quantifying the Trustworthiness of a Neural Network
Beyond Explainability: Quantifying the Trustworthiness of a Neural Network

Published in DarwinAI

·Sep 21, 2020

COVIDNet-S: A neural network for grading COVID Severity

Dear Colleagues, It’s been a while since our last update regarding our COVID-Net initiative. Today, we are extremely proud to announce a new and significant update to the project: COVIDNet-S. COVIDNet-S is a suite of deep learning models designed to assess the disease severity of COVID-19. As viral procedures like…

Covid 19

2 min read

COVID-Net-S: A neural network to detect COVID Severity
COVID-Net-S: A neural network to detect COVID Severity

Published in DarwinAI

·Jul 9, 2020

COVIDNET-CT: a new detection model for CT scans

Dear Colleague, The response to our release of COVID-Net three months ago continues to inspire us. Here are the latest updates with the project: 1.) Today we are proud to announce the release of COVIDNet-CT, a family of neural networks to detect COVID-19 by means of Computed Tomography (CT) scans…

2 min read

COVIDNET-CT: a new model for CT scans
COVIDNET-CT: a new model for CT scans

Published in DarwinAI

·May 25, 2020

Pandemics don’t wait: How we built COVID-Net in under 7 days

“Imagination is the highest form of Research” — Albert Einstein On March 22nd our team announced the availability of COVID-Net (latest updates here), a neural network for COVID-19 detection using chest radiography (X-Rays). …

12 min read

Pandemics don’t wait: How we built COVID-Net in under 7 days
Pandemics don’t wait: How we built COVID-Net in under 7 days

Published in DarwinAI

·May 21, 2020

COVID-Net Update: More data, New models

Dear Colleague, The response to our release of COVID-Net continues to move and inspire us. Here are the latest updates with the project: Thanks to the continued support of the global community, the total number of COVID-19 positive cases in the COVIDx dataset has grown significantly, with the test benchmark…

2 min read

COVID-Net Update: More data, New models
COVID-Net Update: More data, New models

Published in DarwinAI

·Apr 19, 2020

COVID-Net: More data, CT Scans and Risk Stratification

Dear Colleague, The response to our release of COVID-Net continues to move and inspire us. Here are the latest updates with the project: 1.) Thanks to support of the research community, the number of COVID-19 positive cases in the training and test portions of the COVIDx dataset has increased by…

2 min read

COVID-Net: More data, CT Scans and Risk Stratification
COVID-Net: More data, CT Scans and Risk Stratification

Published in DarwinAI

·Mar 29, 2020

COVID-Net: larger dataset, new models, and COVID-RiskNet

Note: since this post was published there’ve been a number of developments to the project. See here for the latest. Dear Colleague, The response to our release of COVID-Net one week ago has been overwhelming. Here are the latest updates with the project: 1.) Thanks to the support and feedback…

2 min read

COVID-Net: larger dataset, new models, and COVID-RiskNet
COVID-Net: larger dataset, new models, and COVID-RiskNet

Published in DarwinAI

·Mar 23, 2020

COVID-Net: an open source neural network for COVID-19 detection

Note: since this post was published there’ve been a number of developments to the project. See here for the latest. Dear Colleague, The global crisis brought on by COVID-19 has affected us all. Like many businesses, we’ve been grappling with how to best deploy our skills in service of the…

Covid 19

1 min read

COVID-Net: an open source neural network for COVID-19 detection
COVID-Net: an open source neural network for COVID-19 detection
Sheldon Fernandez

Sheldon Fernandez

CEO, DarwinAI

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