Better Learning Through Programming Languages: Neurosymbolic Synthesis and Learning
Offered By: Neurosymbolic Programming for Science via YouTube
Course Description
Overview
Explore the evolution of program synthesis as a learning tool in this illuminating 1-hour 13-minute talk by Armando Solar-Lezama from MIT. Delve into early work on synthesizing models from data and discover how program synthesis concepts form the foundation for innovative neurosymbolic learning algorithms. Gain insights into the intersection of programming languages and machine learning, and understand how these advancements are shaping the future of artificial intelligence and scientific research.
Syllabus
Better learning through Programming Languages
Taught by
Neurosymbolic Programming for Science
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