Deep Learning in Depth: The Future of Deep Learning
November 2018 • Podcast
Ritwik Gupta and Carson Sestili discuss the future of deep learning.
“Here is amazing research being done all over the world on how we make what is called explainable AI. How do we explain what the deep learning is trying to do? This is a problem across all fields.”
Software Engineering Institute
In this SEI Podcast, Ritwik Gupta of the SEI’s Emerging Technology Center and Carson Sestili, formerly of the SEI’s CERT Division and now with Google, discuss the future of deep learning. The SEI Podcast series is also available on the SEI website at sei.cmu.edu/podcasts, CMU’s iTunes Podcast Channel, and on Soundcloud.
About the Speaker
Ritwik Gupta is a machine learning researcher at the Carnegie Mellon University Software Engineering Institute’s Emerging Technology Center. His research focuses on the intersection of machine learning and health, with many forays into the areas of robotics, adversarial learning, and computational linguistics. He is passionate about educating people about machine learning and the many cool and unique ways it can be applied to unorthodox problem domains.
Carson Sestili is a machine learning research scientist in the CERT Data Science group, where he uses data science, statistics, and machine learning for research in cybersecurity and intelligence. His work at CERT has involved applying machine learning for problems in satellite image recognition, code security defect detection, and cyber-incident forecasting. He has also investigated machine learning models that identify novel and ambiguous data.