DarwinAIinDarwinAIOutlierNets: AI for On-Device Acoustic Anomaly Detection in ManufacturingBy: Dr. Alexander WongApr 22, 2021Apr 22, 2021
DarwinAIinDarwinAIIntroducing COVID-Net Clinical ICU, an Explainable and Trustworthy AI for Predicting COVID-19 ICU…By: Dr. Audrey Chung, Technical Product Manager at DarwinAIMar 25, 2021Mar 25, 2021
DarwinAIinDarwinAIThe Top Reasons Why Manufacturing is Slow to Implement AIPlus DarwinAI’s best practices to implement AI at scaleFeb 26, 20211Feb 26, 20211
DarwinAIinDarwinAIWorried About an Adversarial Attack on your AI?Dr. Javad Shafiee explains how to fine-tune your way to a strong defense!Feb 26, 2021Feb 26, 2021
DarwinAIinDarwinAIUsing Explainable AI to Improve Personalized Drug Response PredictionBy: Dr. Alexander WongJan 25, 2021Jan 25, 2021
DarwinAIinDarwinAIHow Much Can We Really Trust You? — A paper on deep neural networksTowards Simple, Interpretable Trust Quantification Metrics for Deep Neural NetworksJan 22, 2021Jan 22, 2021
DarwinAIinDarwinAIGenSynth Simplifies Parallel Performance CalculationsA Case Study about our work on parallel performance calculations (for AI Development)Jan 22, 2021Jan 22, 2021
DarwinAIinDarwinAITinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge DevicesTL;DR: Our new attention condenser architecture enables high-performing deep neural networks for robust deep learning on the edge. It…Jan 22, 2021Jan 22, 2021