Andrew Ng Quotes

Andrew Ng is a computer scientist and entrepreneur specializing in artificial intelligence (AI) and machine learning. He has made significant contributions to the development and application of AI technologies. Ng has held positions at major tech companies and prestigious academic institutions, and he co-founded Coursera, an online learning platform. He is recognized for his expertise in AI and his efforts to democratize education through online courses. Ng's work has had a transformative impact on the field of AI and has inspired many to pursue careers in machine learning and data science.

There are some outcomes in finance we don't want, ... -Andrew Ng

There are some outcomes in finance we don't want, and government should regulate that.

In Silicon Valley, there are a lot of startups using computer vision for agriculture or shopping - there are a lot for clothes shopping. At Baidu, for example, if you find a picture of a movie star, we actually use facial recognition to identify that movie star and then tell you things like their age and hobbies.

The thing that really excites me today is building... -Andrew Ng

The thing that really excites me today is building a new AI-powered society.

There are two companies that the AI Fund has invested in - Woebot and Landing AI - and the AI Fund has a number of internal teams working on new projects. We usually bring in people as employees, work with them to turn ideas into startups, then have the entrepreneurs go into the startup as founders.

The way AI complements people's work, it actually creates a lot of new jobs, a lot of demand. For example, if a automatic visual inspection technology helps spot flaws in manufacturing parts, I think that in some cases, this does create a lot more demand for people to come in to rework or to fix some of the parts that an AI has found to be flawed.

Baidu and Google are great companies, but there are a lot of things you can do outside them. Just as electricity and the Internet transformed the world, I think the rise of modern A.I. technology will create a lot of opportunities both for new startups and for incumbent companies to transform.

Education is not about thinning the herd. Educatio... -Andrew Ng

Education is not about thinning the herd. Education is about helping every student succeed.

The true value proposition of education is employm... -Andrew Ng

The true value proposition of education is employment.

Speech recognition today doesn't really work in no... -Andrew Ng

Speech recognition today doesn't really work in noisy environments.

It is difficult to think of a major industry that AI will not transform. This includes healthcare, education, transportation, retail, communications, and agriculture. There are surprisingly clear paths for AI to make a big difference in all of these industries.

I think the Indian AI ecosystem is growing rapidly. A lot of Indian entrepreneurs reach out to me seeking feedback about startups and products. And some of them have very interesting business ideas.

In terms of building consumer products, the U.S. and China are ahead of India. The interesting opportunity for India is whenever there is a disruption in technology, it gives every country a chance to leapfrog and take a lead. To take an example, China is leaping ahead in growing the China electric vehicle ecosystem.

With the Google Brain project, we made the decision to build deep learning processes on top of Google's existing infrastructure.

When you go to Japan, there is such a talent shortage that the debate about AI taking jobs is almost non-existent. The debate is, how can we automate this so we can get all the work done?

When you become sufficiently expert in the state of the art, you stop picking ideas at random. You are thoughtful in how to select ideas and how to combine ideas. You are thoughtful about when you should be generating many ideas versus pruning down ideas.

If a typical person can do a mental task with less than one second of thought, we can probably automate it using AI either now or in the near future.

The success, or failure, of a CEO to implement AI throughout the organization will depend on them hiring a leader to build an organization to do this. In some companies, CIOs or chief data officers are playing this role.

I've been to so many manufacturing plants. I've yet to walk into one where I did not think AI solutions wouldn't help.

People change jobs much more often, and therefore, companies, on average, invest less in employee development.

I think the world will just be better if AI is helping us. It will reduce the cost of goods, giving us good education, changing the way we run hospitals and the health-care system - there's just a long list of things.

No university is the best place to execute every mission and no one company the best place to execute every mission.

Our education system has succeeded so far in teaching generations to do different routine tasks. So when tractors displaced farming labor, we taught the next generation to work in factories. But what we've never really been good at is teaching a huge number of people to do non-routine creative work.

I thought the best place to advance the AI mission... -Andrew Ng

I thought the best place to advance the AI mission is at Baidu.

I believe that the ability to innovate and to be creative are teachable processes. There are ways by which people can systematically innovate or systematically become creative.

We think that many companies view Coursera as a quality, convenient, inexpensive way to continue employee development. Is there a contract with a company that might make sense? I don't have an answer to that yet.

I had a strong interest in free online education, and I was interested in what videos and formats would work for it. A lot of education workers were very sceptical about what computer scientists were doing. It was only after the first visible success of MOOCs that they started to take it seriously.

Despite all the hype and excitement about AI, it's still extremely limited today relative to what human intelligence is.

A single neuron in the brain is an incredibly complex machine that even today we don't understand. A single 'neuron' in a neural network is an incredibly simple mathematical function that captures a minuscule fraction of the complexity of a biological neuron.

As the founding lead of the Google Brain team, former director of the Stanford Artificial Intelligence Laboratory, and now overall lead of Baidu's AI team of some 1,200 people, I've been privileged to nurture many of the world's leading AI groups and have built many AI products that are used by hundreds of millions of people.

Our educational system globally has not been historically great in reskilling for newer job roles. We need a new social contract to do that. For India, lack of an incumbent structure might be an advantage, where it can use digital education to leapfrog.

Popular Topic