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Explore neural networks that manipulate symbols through this 46-minute video covering Kautz 2 and Kautz 3 frameworks with emphasis on symbolic regression and program generation. Learn how neural networks process symbols as both input and output, examining standalone applications like the Meta model for symbolic regression (Kautz 2) and their use as subroutines in symbolic approaches including DSR and AlphaEvolve (Kautz 3). Discover cutting-edge algorithms and Python packages at the intersection of symbolic methods such as logic programming and deep learning, gaining insights into progress toward artificial general intelligence through content originally developed for Arizona State University's AI course.
