Systems Design Engineering PhD student Devinder Kumar and Professor Alexander Wong wins the Best Paper Award at the 31st Neural Information Processing Systems (NIPS 2017) Transparent and interpretable Machine Learning in Safety Critical Environments Workshop for their work on explainable and interpretable AI for clinicial decision support: "CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy".
Sisun Lee is a 2014 graduate from Systems Design Engineering. In just three years he has worked at Facebook, Uber, Tesla, and has now created his own startup to cure hangovers, and selling more than $1 million in three months. He describes his experience in his own words or the high-profile article from Business Insider.
Lifesavers: Diagnosis driven by artificial intelligence (AI)
Powered by AI at a fraction of the cost, new imaging technology can catch subtle signs of disease.
Today, doctors need a lot of judgement in order to detect cancer and heart disease on MRI, CT, and ultrasound scans. My research lab has developed technology that can catch subtle signs of cancer and heart disease from medical images that might otherwise be missed.
One University of Waterloo (UW) PhD candidate has developed an AI program he says shines a light into that black box—the "white box" method—revealing the inner workings of the AI and allowing us to better understand what the computer is learning, how it is analyzing data, and why decisions are made.[Read more]