No one knows what the right algorithm is, but it gives us hope that if — Andrew Yan-Tak Ng

"“If you want to publish data, you should do it to share knowledge.”"

"“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."

"“A lot of the game of AI today is finding the appropriate business context to fit it in. I love technology. It opens up lots of opportunities. But in the end, technology needs to be contextualized and fit into a business use case.”"

"“A lot of the progress in machine learning – and this is an unpopular opinion in academia – is driven by an increase in both computing power and data. An analogy is to building a space rocket: You need a huge rocket engine, and you need a lot of fuel.”"

"AI has been making tremendous progress in machine translation, self-driving cars, etc. Basically, all the progress I see is in specialised intelligence. It might be hundreds or thousands of years or, if there is an unexpected breakthrough, decades."

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