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  1. Leslie Valiant was educated at King's College, Cambridge; Imperial College, London; and Warwick University, where he received his PhD in computer science in 1974. He is currently T. Jefferson Coolidge professor of computer science and applied mathematics in the school of engineering and applied sciences at Harvard University, where he has taught since 1982.

  2. Leslie Valiant. Leslie Valiant in 2005. Leslie Gabriel Valiant ( Boedapest, 28 maart 1949) is een Brits informaticus. Hij werkt voornamelijk in de complexiteitstheorie, in de computationele leertheorie, en op het gebied van parallelle en gedistribueerde berekeningen. Voor zijn bijdragen in deze gebieden kreeg hij in 2010 de Turing Award .

  3. 26 de mar. de 2024 · Leslie Valiant is the T. Jefferson Coolidge Professor of Computer Science and Applied Mathematics at Harvard University. Recipient of the Turing Award and the Nevanlinna Prize for his foundational contributions to machine learning and computer science, he is the author of Probably Approximately Correct and Circuits of the Mind.

  4. Mind Brain Behavior Interfaculty Initiative William James Hall 1380-1384 33 Kirkland Street Cambridge, MA 02138

  5. Leslie Gabriel Valiant (ur. 28 marca 1949) – brytyjski informatyk i teoretyk obliczeń. Życiorys [ edytuj | edytuj kod ] Uczył się w King’s College , Imperial College London i University of Warwick , gdzie w 1974 roku otrzymał stopień naukowy Doctor of Philosophy.

  6. In this visionary book, Leslie Valiant argues that understanding the nature of our own educability is crucial to safeguarding our future. After breaking down how we process information to learn and apply knowledge, and drawing comparisons with other animals and AI systems, he explains why education should be humankind’s central preoccupation.

  7. 4 de jun. de 2013 · We nevertheless muddle through even in the absence of theories of how to act. But how do we do it? In Probably Approximately Correct, computer scientist Leslie Valiant presents a masterful synthesis of learning and evolution to show how both individually and collectively we not only survive, but prosper in a world as complex as our own.