Yann LeCun is a renowned researcher in the field of AI, known for his significant contributions to the development of deep learning algorithms and architectures.

This Knowledge includes the biography of Yann LeCun, along with selected presentations from his talks. Here’s the list of the uploaded documents:

• Biographies of Yann LeCun
• “AI Breakthroughs & Obstacles to Progress, Mathematical and Otherwise”, at UCLA (2018)
• “Deep Learning Hardware: Past, Present, & Future”, at ISSCC (2019)
• “Energy-Based Models for Self-Supervised Learning”, at Samsung AI Forum (2020)
• “Should Deep Learning Hardware be Neuromorphic?” (2020)
• “Energy-Based Learning”, at Harvard (2021)
• “A Path Towards Human-Level AI”, at IAIFI (2022)
• “Objective-Driven AI”, at MIT (2023)
• “Do large language models need sensory grounding for meaning and understanding?“, at NYU (2023)
• “A Path Towards Autonomous Machine Intelligence”, at IHES (2023)