Stanford HAI - COVID-19 and AI: A Virtual Conference

Stanford MCiM Panel | Unlocking Pandora's Box: Generative AI in HealthcareПодробнее

COVID+AI: Susan AtheyПодробнее

COVID+AI: Erik BrynjolfssonПодробнее

Stanford HAI's Fei Fei Li: Keeping Seniors Safe During a PandemicПодробнее

Curai's Xavier Amatriain: An Online Virtual Care ApproachПодробнее

Kaggle's Anthony Goldbloom: How Machine Learning Can Help Forecast COVID-19Подробнее

Welcome to Stanford HAI's COVID-19 and AI Virtual ConferenceПодробнее

COVID+AI: The Road Ahead (full conference)Подробнее

Collective and Augmented Intelligence Against COVID-19 (CAIAC) LaunchПодробнее

Russ Altman: Artificial intelligence takes on COVID-19Подробнее

Ryan Tibshirani: Epidemiological Forecasting Tools for COVID-19Подробнее

Kate Starbird: COVID's InfodemicПодробнее

Stanford Internet Observatory's Renee DiResta: How China Controlled the COVID MessageПодробнее

Stanford's Jason Wang: How Taiwan Used Data Analytics to Control COVID-19Подробнее

Stanford's Ron Li: How Machine Learning Can Improve Patient CareПодробнее

John Brownstein: Mapping COVID-19 Cases in Real TimeПодробнее

Chan Zuckerberg Biohub's Lucy Li: Understanding Unreported Infection RatesПодробнее

Stanford's Michele Barry: Global Best Practices to Controlling COVID-19Подробнее

Stanford's Mark Musen: Making COVID Data AccessibleПодробнее

Stanford's Stefano Rensi: Repurposing Drugs To Fight COVID-19Подробнее