Andrew Ng

Andrew Ng
Native name 吳恩達 (traditional)
吴恩达 (simplified)
ng4 jan1 daat6(jyutping)
Wú Ēndá (pinyin)
Born Andrew Yan-Tak Ng
(1976-04-18) April 18, 1976[1]
United Kingdom[1]
Residence United States
Alma mater Carnegie Mellon University,
Massachusetts Institute of Technology,
University of California, Berkeley
Known for Deep Learning, MOOC
Spouse(s) Carol E. Reiley
Awards IJCAI Computers and Thought Award (2009)
Scientific career
Fields Artificial intelligence
Institutions Co-founder of Coursera
Baidu Research
Stanford University
Thesis Shaping and Policy Search in Reinforcement Learning (2003)
Doctoral advisor Michael I. Jordan
Website Stanford University — Andrew Ng

Andrew Yan-Tak Ng (Chinese: 吳恩達; born 1976) is a Chinese English computer scientist and entrepreneur. Ng co-founded and led Google Brain and was a former VP & Chief Scientist at Baidu, building the company's Artificial Intelligence Group into several thousand people. He is an adjunct professor (formerly associate professor and Director of the AI Lab) at Stanford University. Ng is also an early pioneer in online learning - which led to the co-founding of Coursera.[2]

Biography

Ng was born in London in the UK in 1976. His parents were both from Hong Kong. He spent time in Hong Kong and Singapore[1] and later graduated from Raffles Institution in Singapore in 1992. In 1997, he received his undergraduate degree in computer science from Carnegie Mellon University in Pittsburgh, Pennsylvania. Ng earned his master's degree from Massachusetts Institute of Technology in Cambridge, Massachusetts in 1998 and received his PhD from University of California, Berkeley in 2002. He started working at Stanford University during that year and currently lives in Los Altos Hills, California. He married Carol E. Reiley in 2014.[3]

Career

Ng was a professor at Stanford University Department of Computer Science and Department of Electrical Engineering. He became Director of the Stanford Artificial Intelligence Lab where he taught students and undertook research related to data mining and machine learning. His deep learning course at Stanford is the most popular course offered on campus with over 1000 students enrolled.[4]

From 2011 to 2012, he worked at Google, where he founded and was director of Google Brain Deep Learning Project. In 2012, he co-founded and was CEO of Coursera which offers free online courses for everyone after over 100,000 students registered for Ng's popular course.[5] Today, several million people have taken the online course. In 2014, he joined[6] Baidu as Chief Scientist, and carried out research related to big data and A.I. In March 2017, he announced his resignation from Baidu.[7]

He soon afterwards launched Deeplearning.ai,[8] an online curriculum of classes. Then Ng launched Landing.ai,[9] bringing AI to manufacturing factories. Landing.ai's first public partnership is with FoxConn.[10]

In November 2017, Ng was the keynote speaker at AI Frontiers Conference.

In 2018, Ng unveiled the AI Fund,[11] raising $175 million to invest in new startups. He is also the chairman of Woebot and on the board of drive.ai.[12][13]

He also wrote a book "Machine Learning Yearning", a practical guide for those interested in machine learning, which he distributed for free.[14]

Research

Ng researches primarily in machine learning and deep learning. His early work includes the Stanford Autonomous Helicopter project, which developed one of the most capable autonomous helicopters in the world,[15][16] and the STAIR (STanford Artificial Intelligence Robot) project,[17] which resulted in ROS, a widely used open-source robotics software platform.

In 2011, Ng founded the Google Brain project at Google, which developed large scale artificial neural networks using Google's distributed computer infrastructure.[18] Among its notable results was a neural network trained using deep learning algorithms on 16,000 CPU cores, which learned to recognize higher-level concepts, such as cats, after watching only YouTube videos, and without ever having been told what a "cat" is.[19][20] The project's technology is also currently used in the Android Operating System's speech recognition system.[21]

He together with David M. Blei and Michael I. Jordan, coauthored the influential paper that introduced Latent Dirichlet allocation.[22]

Online education

External audio
Interview with Coursera Co-Founder Andrew Ng, Degree of Freedom[23]

Ng started the Stanford Engineering Everywhere (SEE) program, which in 2008 placed a number of Stanford courses online, for free. Ng taught one of these courses, Machine Learning, which consisted of video lectures by him, along with the student materials used in the Stanford CS229 class.

The "applied" version of the Stanford class (CS229a) was hosted on ml-class.org and started in October 2011, with over 100,000 students registered for its first iteration; the course featured quizzes and graded programming assignments and became one of the first successful MOOCs made by Stanford professors.[24] His work subsequently led to the founding of Coursera in 2012.

Publications and awards

Ng is also the author or co-author of over 150 published papers in machine learning, robotics, and related fields. His work in computer vision and deep learning has been frequently featured in press releases and reviews.[25]

See also

References

  1. 1 2 3 Seligman, Katherine (3 December 2006). "If Andrew Ng could just get his robot to assemble an Ikea bookshelf, we'd all buy one". SFGate. Retrieved 12 February 2013.
  2. ↑ "Andrew Ng — Stanford University | Coursera". Coursera. Retrieved 2017-08-29.
  3. ↑ "Inside The Mind That Built Google Brain: On Life, Creativity, And Failure". The Huffington Post. 2015-05-13. Retrieved 2015-12-19.
  4. ↑ "Why Is Machine Learning (CS 229) The Most Popular Course At Stanford?". Forbes. 2013.
  5. ↑ Friedman, Thomas L. (2012-05-15). "Opinion | Come the Revolution". The New York Times. ISSN 0362-4331. Retrieved 2018-02-19.
  6. ↑ Gannes, Liz (2014-05-16). "Baidu Hires Coursera Founder Andrew Ng to Start Massive Research Lab". Recode. Retrieved 2017-08-29.
  7. ↑ "Opening a new chapter of my work in AI". 2017. Retrieved May 16, 2014.
  8. ↑ Ng, Andrew (2017-08-08). "deeplearning.ai: Announcing new Deep Learning courses on Coursera". Medium. Retrieved 2018-02-19.
  9. ↑ Revitalizing manufacturing through AI.Medium.[2017-12-14].
  10. ↑ Ng, Andrew (2017-12-14). "Revitalizing manufacturing through AI". Andrew Ng. Retrieved 2018-02-19.
  11. ↑ "Andrew Ng unveils the AI Fund, with $175 million to back new startups | VentureBeat". venturebeat.com. Retrieved 2018-02-19.
  12. ↑ "Woebot names AI pioneer Andrew Ng as chairman to work on mental health | VentureBeat". venturebeat.com. Retrieved 2018-02-19.
  13. ↑ Ohnsman, Alan. "Robot Car Tech Startup Drive.ai Raises $50 Million, Adds Stanford's Ng To Board". Forbes. Retrieved 2018-02-19.
  14. ↑ "Machine Learning Yearning". 2017.
  15. ↑ "From Self-Flying Helicopters to Classrooms of the Future". Chronicle of Higher Education. 2012.
  16. ↑ "Stanford Autonomous Helicopter Project".
  17. ↑ John Markoff (18 July 2006). "Brainy Robots Start Stepping Into Daily Life". New York Times.
  18. ↑ Claire Miller and Nick Bilton (3 November 2011). "Google's Lab of Wildest Dreams". New York Times.
  19. ↑ John Markoff (25 June 2012). "How Many Computers to Identify a Cat? 16,000". New York Times.
  20. ↑ Ng, Andrew; Dean, Jeff (2012). "Building High-level Features Using Large Scale Unsupervised Learning". arXiv:1112.6209.
  21. ↑ "Speech Recognition and Deep Learning". Google Research Blog. Google. 6 August 2012. Retrieved 29 January 2013.
  22. ↑ David M. Blei, Andrew Y. Ng, Michael I. Jordan. Latent Dirichlet allocation. The Journal of Machine Learning Research, Volume 3, 3/1/2003, which is one of the two papers that independently discovered Latent Dirichlet allocation
  23. ↑ "Interview with Coursera Co-Founder Andrew Ng". Degree of Freedom. Retrieved May 19, 2013.
  24. ↑ Theresa Johnson. "Stanford for All". Stanford Magazine.
  25. ↑ New algorithm improves robot vision
  26. ↑ "2008 Young Innovators Under 35". Technology Review. 2008. Retrieved August 15, 2011.
  27. ↑ Technology Review: TR35
  28. ↑ at the age of 37 Emanuel, Ezekiel. "The 2013 TIME 100". Time. ISSN 0040-781X. Retrieved 2018-02-19.
  29. ↑ "Fortune's 40 under 40 -- The hottest young stars in business". Fortune. Retrieved 2018-02-19.
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