Dr. Andrew Ng is a globally recognized leader in AI (Artificial Intelligence). He is Founder & CEO of DeepLearning.AI, Founder & CEO of Landing AI, General Partner at AI Fund, Chairman and Co-Founder of Coursera and an Adjunct Professor at Stanford University’s Computer Science Department.

As a pioneer in machine learning and online education, Dr. Ng has changed countless lives through his work in AI, and has authored or co-authored over 200 research papers in machine learning, robotics and related fields. In 2013, he was named to the Time 100 list of the most influential persons in the world.

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Andrew Ng

Publications

Origins of the Modern MOOC (xMOOC)

Origins of the Modern MOOC (xMOOC)

Online education has been around for decades,with many universities offering online courses to a small, limited audience.What changed in 2011 was scale and availability, when Stanford University offered three courses free to the public, each garnering signups of about 100,000 learners or more.The launch of these three courses, taught by Andrew Ng, Peter Norvig, Sebastian […]

Mechatronic design of an integrated robotic hand

Mechatronic design of an integrated robotic hand

Historically, robotic hand research has tended to focus on two areas: severely underactuated hands, and high-degree-offreedom fully actuated hands. Comparatively little research has been done in between those spaces. Furthermore, despite the large number of robotic hand designs that have been proposed in the past few decades, very few robot hands are available for purchase […]

Deep Learning with COTS HPC Systems

Deep Learning with COTS HPC Systems

Scaling up deep learning algorithms has been shown to lead to increased performance in benchmark tasks and to enable discovery of complex high-level features. Recent efforts to train extremely large networks (with over 1 billion parameters) have relied on cloud- like computing infrastructure and thousands of CPU cores. In this paper, we present technical details […]

Projects

Deep Learning and Unsupervised Feature Learning 

Deep Learning and Unsupervised Feature Learning 

Machine learning and AI through large scale brain simulations (artificial neural networks).