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OutlierNets: AI for On-Device Acoustic Anomaly Detection in Manufacturing
OutlierNets: AI for On-Device Acoustic Anomaly Detection in Manufacturing
By: Dr. Alexander Wong
DarwinAI
Apr 22, 2021
Introducing COVID-Net Clinical ICU, an Explainable and Trustworthy AI for Predicting COVID-19 ICU…
Introducing COVID-Net Clinical ICU, an Explainable and Trustworthy AI for Predicting COVID-19 ICU…
By: Dr. Audrey Chung, Technical Product Manager at DarwinAI
DarwinAI
Mar 25, 2021
The Top Reasons Why Manufacturing is Slow to Implement AI
The Top Reasons Why Manufacturing is Slow to Implement AI
Plus DarwinAI’s best practices to implement AI at scale
DarwinAI
Feb 26, 2021
Worried About an Adversarial Attack on your AI?
Worried About an Adversarial Attack on your AI?
Dr. Javad Shafiee explains how to fine-tune your way to a strong defense!
DarwinAI
Feb 26, 2021
COVID-NET CT-2: An Evolutionary Leap
COVID-NET CT-2: An Evolutionary Leap
An update from DarwinAI’s CEO, Sheldon Fernandez about the COVID-NET project.
Sheldon Fernandez
Jan 26, 2021
Using Explainable AI to Improve Personalized Drug Response Prediction
Using Explainable AI to Improve Personalized Drug Response Prediction
By: Dr. Alexander Wong
DarwinAI
Jan 25, 2021
How Much Can We Really Trust You? — A paper on deep neural networks
How Much Can We Really Trust You? — A paper on deep neural networks
Towards Simple, Interpretable Trust Quantification Metrics for Deep Neural Networks
DarwinAI
Jan 22, 2021
Xai
COVID-Net-S: A neural network to detect COVID Severity
COVID-Net-S: A neural network to detect COVID Severity
Dear Colleagues,
Sheldon Fernandez
Sep 21, 2020
Beyond Explainability: Quantifying the Trustworthiness of a Neural Network
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.
Sheldon Fernandez
Nov 10, 2020
TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices
TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices
TL;DR: Our new attention condenser architecture enables high-performing deep neural networks for robust deep learning on the edge. It…
DarwinAI
Jan 22, 2021
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