Andrew Ng (AI Fund) - The Near Future of AI

Entrepreneurial Thought Leaders (ETL)

Stanford eCorner

Journey, Startups, Education, Stanford, Culture, Strategy, Stanford University, Entrepreneurship, Business, Life Lessons, Thought Leadership, Creativity, Etl, Challenges, Leadership, Innovation, Founders

4.4 • 739 Ratings

🗓️ 25 October 2023

⏱️ 46 minutes

🔗️ Recording | iTunes | RSS

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Summary

Andrew Ng is the managing general partner at AI Fund, a startup studio building new AI companies from the ground up; the founder of DeepLearning.AI; and an adjunct professor of computer science at Stanford University. In this presentation and conversation with Stanford adjunct lecturer Ravi Belani, Ng talks about upcoming opportunities for entrepreneurs exploring AI technology and addresses questions of responsibility and risk.

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Transcript

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0:00.0	This is the Entrepreneurial Thought Leaders series,
0:04.0	brought to you by Stanford Ecor.
0:07.0	Welcome everybody to the Entrepreneurial Thought Leaders Seminar,
0:11.0	a Stanford seminar for aspiring entrepreneurs.
0:14.0	ETL is presented by STVP, the Engineering Center,
0:18.0	the Engineering Entrepreneurship Center here at Stanford,
0:20.0	and Basis, the Business entrepreneurship center here at Stanford, and
0:20.9	BASIS, the Business Association of Stanford Entrepreneurial Students.
0:24.7	I'm Ravi Balani, a lecturer in the management science and engineering department at Stanford,
0:28.6	and the director of Alchemists and Accelerator for Enterprise Startups.
0:31.9	Today, we are thrilled to welcome Andrew Ng to ETL.
0:36.1	How many people know Andrew? Okay, so Andrew really
0:39.7	doesn't need an introduction, but we will give one anyways for those who don't.
0:43.6	Andrew is truly a child of the world. He was born in the UK to parents who
0:48.6	emigrated to the UK from Hong Kong but was raised in Hong Kong and
0:52.4	Singapore, went to Carnegie Mellon and very early
0:55.4	on signaled that he was no ordinary student.
0:57.8	He got three bachelor's degrees at Carnegie Mellon in computer science, statistics, and
1:02.3	economics, and graduated at the top of his class, then went on to MIT, where he got a
1:06.4	master's in electrical engineering and computer science, then came over to the left coast and got a PhD in Berkeley in computer science
1:13.6	with a focus on artificial intelligence and reinforcement learning.
1:17.6	Andrew is generally viewed as one of the preeminent thought leaders on AI today.
	...

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