Is There a Mathematical Model of the Mind? (Panel Discussion)

Is There a Mathematical Model of the Mind? (Panel Discussion)

Channel:
United States Google TechTalks
Subscribers:
349,000
Published on ● Video Link: https://www.youtube.com/watch?v=Ulo-vKm14rg


Category:
Discussion
Duration: 55:35
2,318 views
70

A Google TechTalk, presented by Bin Yu, Geoffrey Hinton, Jack Gallant, Lenore Blum, Percy Liang, Rina Panigrahy, 2021/05/17
ABSTRACT: Panel discussion on the fundamental question of “Is there a mathematical model of the Mind?” (from the workshop on "Conceptual Understanding of Deep Learning" : https://www.youtube.com/watch?v=g5DGBWjiULQ). We explore basic questions such as “Is there a provable algorithm that captures the essential capabilities of the mind?”, “How do we remember complex phenomena?”, “How is a knowledge graph created automatically?”, “How do we learn new concepts, function and action hierarchies over time?” and “Why do human decisions seem so interpretable?” (full list of questions at: https://docs.google.com/document/d/1tS-B2BTXixqucUPzLm5o6VnbvTY5EMbxzr_ox5RF3zQ)

The panelists:
Bin Yu - UC Berkeley
Geoffrey Hinton - University of Toronto and Google
Jack Gallant - UC Berkeley
Lenore Blum - CMU/UC Berkeley
Percy Liang - Stanford University
Rina Panigrahy - Google (moderator)



Other Videos By Google TechTalks


2021-09-29"I need a better description": An Investigation Into User Expectations For Differential Privacy
2021-09-29On the Convergence of Deep Learning with Differential Privacy
2021-09-29A Geometric View on Private Gradient-Based Optimization
2021-09-29BB84: Quantum Protected Cryptography
2021-09-29Fast and Memory Efficient Differentially Private-SGD via JL Projections
2021-09-29Leveraging Public Data for Practical Synthetic Data Generation
2021-07-13Efficient Exploration in Bayesian Optimization – Optimism and Beyond by Andreas Krause
2021-07-13Learning to Explore in Molecule Space by Yoshua Bengio
2021-07-13Resource Allocation in Multi-armed Bandits by Kirthevasan Kandasamy
2021-07-13Grey-box Bayesian Optimization by Peter Frazier
2021-06-10Is There a Mathematical Model of the Mind? (Panel Discussion)
2021-06-04Dataset Poisoning on the Industrial Scale
2021-06-04Towards Training Provably Private Models via Federated Learning in Practice
2021-06-04Breaking the Communication-Privacy-Accuracy Trilemma
2021-06-04Cronus: Robust Knowledge Transfer for Federated Learning
2021-06-04Private Algorithms with Minimal Space
2021-06-04Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
2021-06-04Flower: A Friendly Federated Learning Framework
2021-06-04Lions, Skunks, and Kangaroos: Geo-Distributed Learning on the Flickr-Mammal Dataset
2021-06-04Secure Federated Learning in Adversarial Environments
2021-06-04Analyzing Model Poisoning Attacks on Federated Learning at Scale