Video by Open Data Science and AI Conference via YouTube
What if AI had a language designed from the ground up for learning, reasoning, scalability, and transparency?
In this ODSC AI East 2026 keynote, Pedro Domingos, PhD, Professor Emeritus at the University of Washington and author of *The Master Algorithm*, introduces tensor logic, a new approach to unifying neural and symbolic AI.
Pedro explains why today’s AI tooling often falls short, from Python-based deep learning libraries that lack native support for reasoning to symbolic AI languages that struggle to scale. He then explores how tensor equations can serve as a common foundation for neural networks, formal reasoning, graphical models, transformers, and more.
Watch to learn how tensor logic could open new directions for AI, including sound reasoning in embedding space and more reliable, transparent, and scalable intelligent systems.
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