Episode 170: AI from a Scientific Standpoint with Michela Paganini, Facebook AI Research

A really interesting conversation took place in San Francisco in January with Michela Paganini, a Postdoctoral Researcher working at Facebook AI Research (FAIR) who has a background in physics and discusses how this has given her a different way of thinking about AI from a scientific standpoint. Michela joined FAIR in 2018 after earning her Ph.D. in particle physics from Yale University. Her current work is looking into making current AI models simpler and faster to compute on modern hardware architectures while connecting emergent behavior in constrained networks to theoretical predictions. During her graduate studies, she worked on the design, development, and deployment of deep learning algorithms for the ATLAS experiment at CERN with a focus on computer vision and generative modeling.

We’ve just released a number of webinars taking place over the coming weeks and months, you can find our upcoming event schedule here.