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Joshua B. Tenenbaum

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person Brenden M. Lake
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person Brenden Lake
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HOUSE_OVERSIGHT_016958.jpg

This document appears to be a page (155) from a book or academic text regarding Artificial Intelligence, specifically comparing bottom-up systems (like AlphaZero) with Top-down Bayesian Models. It discusses the challenges of computer vision compared to human learning and cites research by Brenden Lake (NYU), Ruslan Salakhutdinov, and Joshua B. Tenenbaum published in 2015. The page bears a 'HOUSE_OVERSIGHT' Bates stamp, suggesting it was produced as part of a congressional investigation, likely related to scientific funding or research connections (common in the context of Epstein's ties to academia/MIT), though Epstein is not mentioned on this specific page.

Book page or academic report (evidence in house oversight production)
2025-11-19
Analysis Source

HOUSE_OVERSIGHT_016375.jpg

This text discusses advancements and challenges in artificial intelligence, contrasting bottom-up systems like AlphaZero with top-down Bayesian models. It highlights the difficulty computers face with tasks trivial to humans, such as image recognition, and explores how Bayesian models address hypothesis testing and concept generation. The text also references research by Brenden Lake and colleagues on using top-down methods for character recognition.

Academic or technical book excerpt
2025-11-19
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