From Deep Learning to Rational Machines


WHEN January 26, 2024
12-1:30 PM EST WHERE 19 Washington Square North WHO 19 Washington Square North Open to the Public

This book explains how recent deep learning breakthroughs realized some of the most ambitious ideas about these faculties from philosophers such as Aristotle, Ibn Sina (Avicenna), John Locke, David Hume, William James, and Sophie de Grouchy. It illustrates the utility of this interdisciplinary connection by showing how it can provide benefits to both philosophy and computer science: computer scientists can continue to mine the history of philosophy for ideas and aspirational targets to hit, and philosophers can see how some of the historical empiricists' most ambitious speculations can now be realized in specific computational systems.

  • Cameron Buckner, Author, "From Deep Learning to Rational Machines" (Oxford University Press, 2023); Associate Professor of Philosophy, University of Houston
  • Response from Ryan Healey, PhD student, Department of English, NYU
Moderated by
  • Lisa Gitelman, Professor of Media, Culture, and Communication and Professor of English, Steinhardt School of Culture, Education, and Human Development, NYU

In collaboration with

NYU Digital Theory Lab

NYU Center for Mind, Brain and Consciousness

NYU Center for Data Science

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