There is no business in the world - I don't care what it is, whether it's I.T. or manufacturing - that does not have what I may refer to as a blended resource base. You have high-end work. You have engineering work. You have some local knowledge you require. Then, you have some very low-cost work to be done.
Being tied down to a pre-med or engineering track would have slotted me into a very narrow group. Being a young filmmaker allowed me to explore many areas of life and many kinds of people.
I think we can question whether degrees are antediluvian. Online learning has flexibility. Why not master courses in energy, writing, communications, and engineering and get a credential?
I was an engineering student and spent a lot of time in the library, and no one applauds when you finish your calculations.
I'm definitely going back to school to be a computer engineer.
What made Manhattan Manhattan was the underground infrastructure, that engineering marvel.
One of the things Baidu did well early on was to create an internal platform that made it possible for any engineer to apply deep learning to whatever application they wanted to, including applications that AI researchers like me would never have thought of.
When we automated away the elevator operator function, who knew that all the descendants of those operators would become social media marketers, machine learning engineers, and all these other jobs that we didn't even have a language to describe back then.
One of the things that Baidu did well early on was to create an internal platform for deep learning. What that did was enable engineers all across the company, including people who were not AI researchers, to leverage deep learning in all sorts of creative ways - applications that an AI researcher like me never would have thought of.
I studied audio engineering at university. The background I am from, music was never seen as a viable career; it was always a hobby.
