How can machines learn as efficiently as humans and animals? How can machines learn to reason and plan? How can machines learn representations of percepts and action plans at multiple levels of abstraction, enabling them to reason, predict, and plan at multiple time horizons? Known as one of the "Godfathers of Artificial Intelligence," Yann LeCun discusses the future of artificial intelligence and a possible path towards autonomous intelligent agents.
How can machines learn as efficiently as humans and animals? How can machines learn to reason and plan? How can machines learn representations of percepts and action plans at multiple levels of abstraction, enabling them to reason, predict, and plan at multiple time horizons? Known as one of the "Godfathers of Artificial Intelligence," Yann LeCun discusses the future of artificial intelligence and a possible path towards autonomous intelligent agents.
- Yann LeCun, VP and Chief AI Scientist, Meta (FAIR); Silver Professor of Computer Science, Data Science, Neural Science, and Electrical and Computer Engineering, NYU
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