Age, Biography and Wiki

Andrew Ng (Andrew Yan-Tak Ng) was born on 18 April, 1976 in United Kingdom, is an American artificial intelligence researcher. Discover Andrew Ng's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is he in this year and how he spends money? Also learn how he earned most of networth at the age of 48 years old?

Popular As Andrew Yan-Tak Ng
Occupation N/A
Age 48 years old
Zodiac Sign Aries
Born 18 April 1976
Birthday 18 April
Birthplace United Kingdom
Nationality United States

We recommend you to check the complete list of Famous People born on 18 April. He is a member of famous Researcher with the age 48 years old group.

Andrew Ng Height, Weight & Measurements

At 48 years old, Andrew Ng height not available right now. We will update Andrew Ng's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.

Physical Status
Height Not Available
Weight Not Available
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Who Is Andrew Ng's Wife?

His wife is Carol E. Reiley (m. 2014)

Family
Parents Not Available
Wife Carol E. Reiley (m. 2014)
Sibling Not Available
Children 2

Andrew Ng Net Worth

His net worth has been growing significantly in 2023-2024. So, how much is Andrew Ng worth at the age of 48 years old? Andrew Ng’s income source is mostly from being a successful Researcher. He is from United States. We have estimated Andrew Ng's net worth, money, salary, income, and assets.

Net Worth in 2024 $1 Million - $5 Million
Salary in 2024 Under Review
Net Worth in 2023 Pending
Salary in 2023 Under Review
House Not Available
Cars Not Available
Source of Income Researcher

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Timeline

1976

Andrew Yan-Tak Ng (born 1976) is a British-American computer scientist and technology entrepreneur focusing on machine learning and artificial intelligence (AI).

Ng was a cofounder and head of Google Brain and was the former 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 Stanford AI Lab or SAIL).

Ng has also worked in the field of online education, cofounding Coursera and DeepLearning.AI.

He has spearheaded many efforts to "democratize deep learning" teaching over 2.5 million students through his online courses.

Ng was born in the United Kingdom in 1976.

His parents Ronald P. Ng and Tisa Ho are both immigrants from Hong Kong.

He has at least one brother.

Growing up, he spent time in Hong Kong and Singapore.

1996

Between 1996 and 1998 he also conducted research on reinforcement learning, model selection, and feature selection at the AT&T Bell Labs.

1997

In 1997, he earned his undergraduate degree with a triple major in computer science, statistics, and economics from Carnegie Mellon University in Pittsburgh, Pennsylvania, graduating at the top of his class.

1998

In 1998 Ng earned his master's degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT) in Cambridge, Massachusetts.

At MIT he built the first publicly available, automatically indexed web-search engine for research papers on the web.

It was a precursor to CiteSeerX/ResearchIndex, but specialized in machine learning.

2002

In 2002, he received his Doctor of Philosophy (Ph.D.) in Computer Science from the University of California, Berkeley, under the supervision of Michael I. Jordan.

His thesis is titled "Shaping and policy search in reinforcement learning" and is well-cited to this day.

He started working as an assistant professor at Stanford University in 2002 and as an associate professor in 2009.

He currently lives in Los Altos Hills, California.

2008

In 2008 his group at Stanford was one of the first in the US to start advocating the use of GPUs in deep learning.

The rationale was that an efficient computation infrastructure could speed up statistical model training by orders of magnitude, ameliorating some of the scaling issues associated with big data.

At the time it was a controversial and risky decision, but since then and following Ng's lead, GPUs have become a cornerstone in the field.

2011

From 2011 to 2012, he worked at Google, where he founded and directed the Google Brain Deep Learning Project with Jeff Dean, Greg Corrado, and Rajat Monga.

2012

Ng is renowned globally in computer science, recognized in Time magazine's 100 Most Influential People in 2012 and Fast Company's Most Creative People in 2014.

His influence extends to being named in the Time100 AI Most Influential People in 2023.

In 2012, along with Stanford computer scientist Daphne Koller he cofounded and was CEO of Coursera, a website that offers free online courses to everyone.

It took off with over 100,000 students registered for Ng's popular CS229A course.

Today, several million people have enrolled in Coursera courses, making the site one of the leading massive open online courses (MOOCs) in the world.

2014

In 2014, he married Carol E. Reiley.

In 2014, he joined Baidu as chief scientist, and carried out research related to big data and AI.

There he set up several research teams for things like facial recognition and Melody, an AI chatbot for healthcare.

He also developed for the company the AI platform called DuerOS and other technologies that positioned Baidu ahead of Google in the discourse and development of AI.

2017

Since 2017, Ng has been advocating the shift to high-performance computing (HPC) for scaling up deep learning and accelerating progress in the field.

2018

In 2018, he launched and currently heads the AI Fund, initially a $175-million investment fund for backing artificial intelligence startups.

He has founded Landing AI, which provides AI-powered SaaS products.

2019

They have two children: a daughter born in 2019 and a son born in 2021.

The MIT Technology Review named Ng and Reiley an "AI power couple".

Ng is a professor at Stanford University departments of Computer Science and electrical engineering.

He served as the director of the Stanford Artificial Intelligence Laboratory (SAIL), where he taught students and undertook research related to data mining, big data, and machine learning.

His machine learning course CS229 at Stanford is the most popular course offered on campus with over 1,000 students enrolling some years.

2020

As of 2020, three of most popular courses on Coursera are Ng's: Machine Learning (#1), AI for Everyone (#5), Neural Networks and Deep Learning (#6).