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transformers are universal turing machines
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Manzil Zaheer | Big Bird: Transformers for Longer Sequences
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Computational Benefits and Limitations of Transformers and State-Space Models
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Why Neural Networks can learn (almost) anything
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What Formal Languages Can Transformers Express? A Survey
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Exploring Program Synthesis: Francois Chollet, Kevin Ellis, Zenna Tavares
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Iterated Models: Expressive Power, Learning, and Chain of Thought
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MoEUT: Mixture-of-Experts Universal Transformers
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Convergence between CV and NLP Modeling and Learning
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Miraculous Ladybug and Cat Noir
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From Associative Memories to Deep Networks and from Associative Memories to Universal Machines
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Big Bird: Transformers for Longer Sequences (Paper Explained)
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[DeepReader] Big Bird: Transformers for Longer Sequences
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Synchronous Machines: Example 6.1, Part (a), 27/5/2014
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Big Bird - Transformers for Longer Sequences Paper Explained
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Big Bird: Transformers for Longer Sequences
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Transformers Need Glasses!
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09L – Differentiable associative memories, attention, and transformers
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DigitalFUTURES 2021: Machine Intelligence Workshop
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Robotics Expert Rates 11 Robots from Movies and TV | How Real Is It? | Insider
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Inventors With Mysterious Inventions Who Strangely Disappeared
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Te presento a Alan Turing, el pionero de la Computación (desde Londres)
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The Shape of AI to Come! Yann LeCun at AI Action Summit 2025
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Large Language Models from scratch
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