1976–, Computer scientist, AI educator
Andrew Yan-Tak Ng is a British-American computer scientist whose career has spanned research, education and entrepreneurship. As a Stanford professor (from 2002), his CS229 Machine Learning course shaped a generation of ML researchers and his 2008 lecture videos on YouTube were one of the first free, large-scale online machine-learning resources.
In 2011 he co-founded Coursera with Daphne Koller, helping launch the modern MOOC movement; his Coursera Machine Learning course has been taken by several million people. In 2011 he also founded Google Brain, the deep-learning research group within Google whose early demonstrations (the cat-detecting unsupervised network, 2012) helped legitimise deep learning at industrial scale. He led Baidu's AI research (2014–2017) and founded Landing AI and DeepLearning.AI.
Ng's research has covered reinforcement-learning robotics (including autonomous helicopter aerobatics), large-scale unsupervised learning, deep learning for medical imaging, and broader applications. He has been a vocal commentator on AI policy, generally a sceptic of fast-AGI scenarios and an advocate for narrow, application-focused AI deployment.
Video
Related people: Geoffrey Hinton, Daphne Koller, David Blei
Works cited in this book:
- Latent Dirichlet Allocation (2003) (with David M. Blei, Michael I. Jordan)
Discussed in:
- Chapter 1: What Is AI?, A Brief History of AI