Software Engineering Institute | Carnegie Mellon University
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Podcast

Deep Learning in Depth: The Future of Deep Learning

  • November 2018
  • By Ritwik Gupta, Carson Sestili
  • Ritwik Gupta and Carson Sestili discuss the future of deep learning.
  • Publisher: Software Engineering Institute
  • “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.”
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  • Related

    SEI Blog Post | Deep Learning: Going Deeper toward Meaningful Patterns in Complex Data

  • Abstract

    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.

  • Transcript
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About the Speaker

  • Ritwik Gupta

    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

    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.