Data sleuths’ work is thankless. They must get credit for retractions The scientific record should reflect what actually happened, not a sanitised narrative that leaves out the messy bits, say Ivan Oransky and David B. Allison By Ivan Oransky 15 January
Detecting Parkinson’s Disease using Deep Learning Techniques from Smart Phone Data Promoted by Khalifa University
Computer Graphics Researcher Creates Simulated Environments to Train AI Promoted by Simon Fraser University
SFU researcher fights drug-resistant tuberculosis with artificial intelligence Promoted by Simon Fraser University
Poland Supports Belarusian Scientists, Teachers and Students Promoted by NAWA Polish National Agency for Academic Exchange
SFU Invent the Future program reaches more students than ever before Promoted by Simon Fraser University
