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

About

The Seminar Series in Modern Artificial Intelligence is hosted by the Department of Electrical and Computer Engineering at NYU Tandon. Organized by Professor Anna Choromanska, the series aims to bring together faculty and students to discuss the most important research trends in the world of AI. The speakers include world-renowned experts whose research is making an immense impact on the development of new machine learning techniques and technologies and helping to build a better, smarter, more-connected world.

View the AI Seminar Series Playlist on YouTube


Spring 2025

Mark Schmidt

University of British Columbia

"Why does Adam work so well for LLMs? And can we find optimal per-variable step sizes?"

February 18, 2025

Dani S. Bassett

University of Pennsylvania

"Curiosity Styles in the (Natural & Artificial) Wild"

March 13, 2025

"Dr. Marco Pavone headshot"

Marco Pavone

Stanford University

"Foundation Models for Autonomous Driving"

April 3, 2025

"Max Welling headshot"

Max Welling

University of Amsterdam

"Transforming Scientific Innovation with AI"

May 6, 2025


Fall 2024

Jose Alvarez

NVIDIA

"Towards Robust and Reliable Autonomous Vehicles with Foundation Models"

October 8, 2024

Elad Hazan

Princeton University

"Spectral Transformers"

November 26, 2024

Sara A. Solla

Northwestern University

"Statistical physics, neural networks, and neuroscience: from then to now"

December 3, 2024


Spring 2024

Jamie Shotton

Wayve Technologies

"Frontiers in Embodied AI for Autonomous Driving"

February 27, 2024

"Gretton Headshot"

Arthur Gretton

University of College London

"Learning to act in noisy contexts using deep proxy learning"

March 11, 2024

Drew Bagnell Headshot

Drew Bagnell

Aurora

"An Invitation to Imitation"

April 15, 2024

Headshot of Samantha Wood

Dr. Samantha Wood

Indiana University Bloomington

"Reverse-Engineering the “Recipe” for Object Perception"

April 30, 2024


Fall 2023

Maria Florina Balcan

Carnegie Mellon University

"Machine Learning for Algorithm Design"

September 26, 2023

Sanja Fidler

University of Toronto

"Generative AI for 3D Content"

October 24, 2023


Spring 2023

Alex Smola

Amazon Web Services

"AutoGluon: Empowering (Multimodal) AutoML for the Next 10 Million Users"

February 8, 2023

Nicolò Cesa-Bianchi

University of Milan and Polytechnic University of Milan, Italy

"Online learning, bandits, and digital markets"

March 28, 2023

Ulrike von Luxburg

University of Tuebingen, Germany

"Explainability and regulation"

May 9, 2023


Fall 2022

Robert Schapire

Microsoft Research

"Convex Analysis at Infinity: An Introduction to Astral Space"

John Langford

Microsoft

"Discovering an agent's controllable latent state"

Chris Wiggins

Columbia University, New York Times

"Data Science at The New York Times"


Fall 2021

Michael Friedlander

University of British Columbia

"Geometric Duality in Optimization"

Karl J. Friston

Karl J. Friston

Queen Square Institute of Neurology, University College London

"Deep Inference"

Faye Cobb

Dr. Fay Cobb Payton

North Carolina State University

"Coding, Coded & Counting: A Bias Continuum"

 


Spring 2021

Sham Kakade

Sham Kakade

University of Washington

"Towards a Theory of Generalization in Reinforcement Learning"

Mutale Nkonde

Mutale Nkonde

Founding Director of AI for the People

"Elections, Online Chatter and Content Moderation"

Joelle Pineau

Facebook and McGill University

"Building Reproducible, Reusable, and Robust Deep Reinforcement Learning Systems"

Danielle Belgrave and Niranjani Prasad

Microsoft Research Cambridge

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


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

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

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

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

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"