26 min listen
NLP for Mapping Physics Research with Matteo Chinazzi - #353
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
NLP for Mapping Physics Research with Matteo Chinazzi - #353
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
ratings:
Length:
35 minutes
Released:
Mar 2, 2020
Format:
Podcast episode
Description
Predicting the future of science, particularly physics, is the task that Matteo Chinazzi, an associate research scientist at Northeastern University focused on in his paper Mapping the Physics Research Space: a Machine Learning Approach, along with co-authors including former TWIML AI Podcast guest Bruno Gonçalves. In addition to predicting the trajectory of physics research, Matteo is also active in the computational epidemiology field. His work in that area involves building simulators that can model the spread of diseases like Zika or the seasonal flu at a global scale. Check out our full article on this episode at twimlai.com/talk/353.
Released:
Mar 2, 2020
Format:
Podcast episode
Titles in the series (100)
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