Modern Artificial Intelligence | NYU Tandon School of Engineering

Modern Artificial Intelligence

ECE special seminar series
addressing the most important new research in the world of artificial intelligence (AI)

Geometric abstract image of brain


NYU Tandon's Department of Electrical and Computer Engineering hosted a seminar series addressing the most important new research in the world of artificial intelligence (AI), featuring researchers who have made fundamental contributions to the emerging technology. The seminar series was organized by Professor Anna Choromanska in Fall 2017.

View the AI Seminar Series Playlist on YouTube

    Spring 2021

    Sham Kakade

    Sham Kakade, University of Washington

    "Towards a Theory of Generalization in Reinforcement Learning"
    Tuesday, May 4, 2021

    Mutale Nkonde

    Mutale Nkonde, Founding Director of AI for the People

    "Elections, Online Chatter and Content Moderation"
    Tuesday, April 13, 2021

    Joelle Pineau of Facebook and McGill University

    "Building Reproducible, Reusable, and Robust Deep Reinforcement Learning Systems"
    February 10, 2021

    Danielle Belgrave and Niranjani Prasad of Microsoft Research Cambridge

    "Machine Learning for Personalised Healthcare: Opportunities, Challenges and Insights"
    March 10, 2021

    Spring 2020

    Jan Kautz, VP of Learning and Perception Research at NVIDIA

    "Generative Models for Image Synthesis"
    February 13, 2020

    Gabor Lugosi, Pompeu Fabra University

    "Archeology of Random Trees"
    Thursday, March 5, 2020

    Fall 2019 Seminars

    Leon Bottou

    Leon Bottou, Facebook AI Research

    "Learning Representations Using Causal Invariance"

    Francis Bach

    Francis Bach, INRIA, Paris France

    "Distributed Machine Learning over Networks"

    Raia Hadsell

    Raia Hadsell, Head of Robotics Research at DeepMind

    "Challenges for Deep Reinforcement Learning in Complex Environments"


    Spring 2019 Seminars

    Martial Hebert

    Martial Hebert, Carnegie Mellon University

    "Research challenges in using computer vision in robotics systems"

    Tony Jebara

    Tony Jebara, Netflix

    "Machine Learning for Personalization"

    Manuela Veloso

    Manuela Veloso, JP Morgan Chase

    "Towards a Lasting Human-AI Interaction"

    Eric Kandel

    Eric Kandel, Columbia University

    "The Biology of Memory and Age-Related Memory Loss"

    Fall 2018 Seminars

    Anima Anandkumar

    Anima Anandkumar, Caltech

    "The AI Trinity: Data + Algorithms + Infrastructure"

    Kai-Fu Lee

    Kai-Fu Lee, Sinovation Ventures

    "The Era of Artificial Intelligence"

    David Blei

    David Blei, Columbia University

    "The Blessings of Multiple Causes"

    Richard J. Roberts

    Richard J. Roberts, New England Biolabs, Inc.

    "The Path to the Nobel Prize"

    Fall 2017 Seminars

    Yann LeCun

    Yann LeCun, Facebook AI Research

    "Obstacles to Progress in Deep Learning & AI"

    Yoshua Bengio

    Yoshua Bengio, Montreal Institute for Learning Algorithms

    "GANs and Unsupervised Representation Learning"

    Stefano Soatto

    Stefano Soatto, UCLA Vision Lab

    "The Information Knot Tying Sensing and Action"

    Vladimir Vapnik

    Vladimir Vapnik, Columbia University

    "Rethinking Statistical Learning Theory"