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
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
Join our events mailing lists
Always be the first to know about what's going on in our community. Sign up for one of our newsletters and receive information on a wide variety of events such as exhibition, lectures, films, art performances, discussions and conferences.