斯坦福 MSx 未来论坛: 探索改变未来的趋势

与大咖畅谈人工智能趋势——Andrew Ng，百度首席科学家，斯坦福大学计算机科学系副教授，在线教育平台Coursera的联合创始人，作客斯坦福商学院MSx未来论坛。

Join us for a conversation with Andrew Ng as he presents “Artificial Intelligence: Separating Hype from Reality.”

On Campus|Stanford, CA

Wednesday, Jan 25, 2017

4:00pm – 5:30pm PST

The Stanford MSx Program and 2017 Sloan Fellows are pleased to host of second Future Forum — a speakers series inviting entrepreneurs who are daring to pursue the future with wisdom, creativity, and unfathomable dreams and build companies whose products and processes lie at the intersection of business, engineering, design, and policy.

Artificial Intelligence: Separating Hype from Reality

This event will feature Andrew Ng, vice president and chief scientist of Baidu, co-founder of Coursera, adjunct professor at Stanford, and artificial intelligence pioneer.

Artificial Intelligence is the New Electricity

Artificial Intelligence is transforming industry after industry — just like electricity did 100 years ago. Health care, transportation, communications, manufacturing, and quite possibly your own industry — are in the early stages of this transformation. In this presentation, you’ll learn about the major trends in AI, understand what is (and isn’t) possible with machine learning today, and how to distinguish hype from reality. Finally, you’ll learn some best practices for building and managing AI teams to help your organization.

Speakers：Andrew Ng

VP & Chief Scientist of Baidu, Co-Founder of Coursera, Adjunct Professor at Stanford, and Artificial Intelligence pioneer

In 2011 he led the development of Stanford University’s main MOOC (Massive Open Online Courses) platform and also taught an online Machine Learning class to over 100,000 students, leading to the founding of Coursera. Ng’s goal is to give everyone in the world access to a great education, for free. Today, Coursera partners with some of the top universities in the world to offer high quality online courses, and is the largest MOOC platform in the world. Ng also works on machine learning with an emphasis on deep learning. He founded and led the “Google Brain” project which developed massive-scale deep learning algorithms. This resulted in the famous “Google cat” result, in which a massive neural network with 1 billion parameters learned from unlabeled YouTube videos to detect cats. More recently, he continues to work on deep learning and its applications to computer vision and speech, including such applications as autonomous driving.

Open to

Faculty, Staff, Students, Stanford Community, Alumni, Public

Register on gsb.stanford.edu

Location

CEMEX Auditorium，655 Knight Way，Stanford, CA, 94305