Google Research's podcast features Sinead Bovell, Michael Brenner and Lizzie Dorfman discussing how an AI model achieved top accuracy for flu and RSV hospitalization forecasting. The post links to the episode video and cites a 200,000-line code base as part of the story. It gives no accuracy figures or further details on the model.
How did 200k lines of code outperform traditional flu forecasting? 📊🩺
On the @GoogleResearch Podcast, @SineadBovell, Michael Brenner & Lizzie Dorfman discuss how an AI model achieved top accuracy for flu & RSV hospitalizations.
🎬 Watch: https://youtu.be/dxq-3pimV-E
Source: Google Research · x.comPublished · added here
