Learning Abstractions: A Conversation with Yann LeCun
Yann LeCun, a prominent figure in artificial intelligence, discusses the rapid advancements in the field over the past decade. He highlights the swift adoption of deep learning technologies in various applications, such as speech recognition and image processing. LeCun emphasizes the importance of foundational research and the role of open science in furthering AI development.
- ▪Yann LeCun is a leading researcher in artificial intelligence and has contributed significantly to the field of deep learning.
- ▪He noted the rapid adoption of deep learning technologies, particularly in speech recognition and image recognition applications.
- ▪LeCun advocates for the importance of foundational research and open science to advance AI and benefit society.
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| Original publisher | American Academy of Arts & Sciences |
| Canonical URL | https://www.amacad.org/publication/daedalus/learning-abstractions-conversation-yann-lecun |
| Publication time | Mon, 25 May 2026 17:22:37 +0000 |
| Retrieval time | 2026-05-25T17:37:39.277Z |
| Last seen | 2026-05-25T17:37:39.277Z |
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Winter/Spring 2026 Learning Abstractions: A Conversation with Yann LeCun Authors Yann LeCun and James M. Manyika View PDF To Dædalus issue Author Information Yann LeCun is Executive Chairman of Advanced Machine Intelligence (AMI) Labs and the Jacob T. Schwartz Professor of Computer Science, Data Science, Neural Science, and Electrical and Computer Engineering at New York University. He previously served as Chief AI Scientist for Meta’s Fundamental AI Research (FAIR) team. He has recently published in Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, International Conference on Learning Representations 2025, and Advances in Neural Information Processing Systems.James Manyika, a Member of the American Academy since 2019, is SVP at Google Alphabet and…
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