Reasoning Algorithmically- From Toy Experiments to AGI Modules
Offered By: Institute for Pure & Applied Mathematics (IPAM) via YouTube
Course Description
Overview
Explore the transformative potential of neural networks capable of executing algorithmic computation in this 52-minute lecture by Petar Veličković from DeepMind Technologies. Delve into the journey from isolated toy experiments to groundbreaking applications in detecting patterns in complex mathematical objects and supporting generalist reasoning agents. Gain insights into the intersection of graphs, classical algorithms, reasoning, and intelligent systems as Veličković shares his personal account of the field's rapid development. Discover how these advancements could revolutionize both machine learning and theoretical computer science, enabling extrapolative generalization and expanding the applicability of classical algorithms to previously inaccessible inputs.
Syllabus
Petar Veličković - Reasoning Algorithmically: from Toy Experiments to AGI Modules - IPAM at UCLA
Taught by
Institute for Pure & Applied Mathematics (IPAM)
Related Courses
Launching into Machine Learning 日本語版Google Cloud via Coursera Launching into Machine Learning auf Deutsch
Google Cloud via Coursera Launching into Machine Learning en Français
Google Cloud via Coursera Launching into Machine Learning en Español
Google Cloud via Coursera Основы машинного обучения
Higher School of Economics via Coursera