#74
Michael I. Jordan - Machine Learning, Recommender Systems, and Future of AI
Mon, Feb 24, 2020 ·
Loading views
Michael I Jordan is a professor at Berkeley, and one of the most influential people in the history of machine learning, statistics, and artificial intelligence. He has been cited over 170,000 times and has mentored many of the world-class researchers defining the field of AI today, including Andrew Ng, Zoubin Ghahramani, Ben Taskar, and Yoshua Bengio.
Timestamps
- 3:02 - How far are we in development of AI?
- 8:25 - Neuralink and brain-computer interfaces
- 14:49 - The term 'artificial intelligence'
- 19:00 - Does science progress by ideas or personalities?
- 19:55 - Disagreement with Yann LeCun
- 23:53 - Recommender systems and distributed decision-making at scale
- 43:34 - Facebook, privacy, and trust
- 1:01:11 - Are human beings fundamentally good?
- 1:02:32 - Can a human life and society be modeled as an optimization problem?
- 1:04:27 - Is the world deterministic?
- 1:04:59 - Role of optimization in multi-agent systems
- 1:09:52 - Optimization of neural networks
- 1:16:08 - Beautiful idea in optimization: Nesterov acceleration
- 1:19:02 - What is statistics?
- 1:29:21 - What is intelligence?
- 1:37:01 - Advice for students
- 1:39:57 - Which language is more beautiful: English or French?
Listen on Spotify
Hide video