Andrew Ng speaks about the progress of AI, how to accelerate AI adoption, and what’s around the corner for AI at Amazon re:MARS 2019 in Las Vegas, Nevada.

Want to leverage AI to drive business value across your company? Get started by taking AI for Everyone at coursera.org/learn/ai-for-everyone!

In this segment, you will learn the basics of Natural Language Generation and the Integration between TIBCO Spotfire and Automated Insights’s Natural Language Generation Software Wordsmith.

Rod Brooks, Founder, Chairman and CTO, Rethink Robotics

Tom Kochan, Co-Director and Professor, Work and Employment Research, MIT Sloan School of Management

Andrew McAfee, Co-Director, MIT Initiative on the Digital Economy, and Principal Research Scientist, MIT Sloan School of Management

November 2nd, 2017

Andrew Yan-Tak Ng (Chinese: 吳恩達; born 1976) is a Chinese-American computer scientist and statistician, focusing on machine learning and AI. Also a business executive and investor in the Silicon Valley, Ng co-founded and led Google Brain and was a former Vice President and Chief Scientist at Baidu, building the company’s Artificial Intelligence Group into a team of several thousand people.

Ng is an adjunct professor at Stanford University (formerly associate professor and Director of its AI Lab). Also a pioneer in online education, Ng co-founded Coursera and deeplearning.ai. With his online courses, he has successfully spearheaded many efforts to “democratize deep learning.” Since 2018 he launched and currently heads AI Fund, initially a $175-million investment fund for backing artificial intelligence startups. He has founded Landing AI, which provides AI-powered SaaS products and Transformation Program to empower enterprises into cutting-edge AI companies.

References: Wikipedia, NG Linkedin profile

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Andrew Ng is one of the most impactful educators, researchers, innovators, and leaders in artificial intelligence and technology space in general. He co-founded Coursera and Google Brain, launched deeplearning.ai, Landing.ai, and the AI fund, and was the Chief Scientist at Baidu. As a Stanford professor, and with Coursera and deeplearning.ai, he has helped educate and inspire millions of students including me.

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AI for Everyone: https://www.coursera.org/learn/ai-for-everyone
The Batch newsletter: https://www.deeplearning.ai/thebatch/

OUTLINE:
0:00 – Introduction
2:23 – First few steps in AI
5:05 – Early days of online education
16:07 – Teaching on a whiteboard
17:46 – Pieter Abbeel and early research at Stanford
23:17 – Early days of deep learning
32:55 – Quick preview: deeplearning.ai, landing.ai, and AI fund
33:23 – deeplearning.ai: how to get started in deep learning
45:55 – Unsupervised learning
49:40 – deeplearning.ai (continued)
56:12 – Career in deep learning
58:56 – Should you get a PhD?
1:03:28 – AI fund – building startups
1:11:14 – Landing.ai – growing AI efforts in established companies
1:20:44 – Artificial general intelligence

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What is a true artificial intelligence and why don’t we have it today? To answer this question, high school student Andrew Zeitler looks at the different parts of our mind that make us human beings. We are given an idea of how certain processes of our brain can be programmed with today’s technology. He takes us on a journey from the hard-wired neurones of our brain to the very fundamental aspects of the human species. Within this thought-provoking talk, Andrew shares his idea of how an artificial mind may “think” and how such a program would function just like a human being.

Andrew Zeitler is a 17-year-old student in grade 11 at St. Mary CSS. Growing up, Andrew has had many influences from his three siblings and parents. From a young age, he has spent a lot of time working with computers. This experience with computers has allowed Andrew to develop a passion for computer related topics such as electronics and programming as well as partake in the school’s robotics team. Andrew is also interested in music and is a member in the school’s senior and jazz bands. Within these bands, he plays both the tuba and bass guitar. On top of this, Andrew also works part time as a deli clerk within a grocery store. When he finds spare time between school and work, Andrew works on developing different programs and algorithms for learning purposes. After graduation, Andrew hopes to study in the field of computer science at a nearby university. This will be Andrew’s first TED event and he looks forward to having the opportunity to share his ideas.

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— 1 —

“The Future of Robotics and Artificial Intelligence (Andrew Ng, Stanford University, STAN 2011)” by ‘Stanford’ (May 2011)
https://www.youtube.com/watch?v=AY4ajbu_G3k
Clip shown: [8min20sec – 10min32sec] from total 16min26sec

‘Stanford University’ YouTube Channel:
http://www.youtube.com/stanford

Stanford University:
http://www.stanford.edu/

STAN 2011:
http://stan2011.stanford.edu

Andrew Ng:
http://ai.stanford.edu/~ang/
http://www.andrewng.org/

TEDxStanford:
https://www.ted.com/tedx/events

Donate to Stanford:
http://giving.stanford.edu/

— 2 —

“Michio Kaku: How to Stop Robots From Killing Us” by ‘Big Think’ (May 2011)
https://www.youtube.com/watch?v=JPVOPzYiCeg
Clip shown: [0min03sec – 02min25sec] from total 4min15sec

Check out more content by Big Think, and support them:

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M Kaku, City College of New York:
https://www.ccny.cuny.edu/profiles/michio-kaku

— 3 —

“Dr. Fei Fei Li of Stanford’s Artificial Intelligence Lab | Innovate and Celebrate 2016” by ‘TechCo Media’ (Dec 2016)
https://www.youtube.com/watch?v=IXxh5C9iKFE
Clip shown: [23min30sec – 25min53sec] from total 45min05sec

‘TechCo Media’ Youtube Channel Videos:
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Fei Fei Li:
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fXactory: “WelcomeToWhatever.wav”

— ### —

What is a true artificial intelligence and why don’t we have it today? To answer this question, high school student Andrew Zeitler looks at the different parts of our mind that make us human beings. We are given an idea of how certain processes of our brain can be programmed with today’s technology. He takes us on a journey from the hard-wired neurones of our brain to the very fundamental aspects of the human species. Within this thought-provoking talk, Andrew shares his idea of how an artificial mind may “think” and how such a program would function just like a human being.

Andrew Zeitler is a 17-year-old student in grade 11 at St. Mary CSS. Growing up, Andrew has had many influences from his three siblings and parents. From a young age, he has spent a lot of time working with computers. This experience with computers has allowed Andrew to develop a passion for computer related topics such as electronics and programming as well as partake in the school’s robotics team. Andrew is also interested in music and is a member in the school’s senior and jazz bands. Within these bands, he plays both the tuba and bass guitar. On top of this, Andrew also works part time as a deli clerk within a grocery store. When he finds spare time between school and work, Andrew works on developing different programs and algorithms for learning purposes. After graduation, Andrew hopes to study in the field of computer science at a nearby university. This will be Andrew’s first TED event and he looks forward to having the opportunity to share his ideas.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

(May 21, 2011) Andrew Ng (Stanford University) is building robots to improve the lives of millions. From autonomous helicopters to robotic perception, Ng’s research in machine learning and artificial intelligence could result one day in a robot that can clean your house.

STAN: Society, Technology, Art and Nature, was Stanford University’s prototype conferecne for TEDxStanford, and showcased some of the university’s top faculty, students, alumni and performers in an intense four-hour event laced with surprising appearances and memorable experiences. STAN, modeled after TED, explored big questions about society, technology, art and nature in a format that invites feedback and engagement.

Stanford University:
http://www.stanford.edu/

STAN 2011:
http://stan2011.stanford.edu

Andrew Ng:
http://ai.stanford.edu/~ang/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford

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