And so I was one of the first generation machine learning researchers and we were already studying this concept of machine learning, especially neural network. I remember that was one of my first courses at Caltech is called neural network, but it was very painful. It was still smack in the middle of the so-called AI winter, meaning the public didn't look at this too much. There wasn't that much funding, but there was also a lot of ideas flowing around. And I think two things happened to myself that brought my own career so close to the birth of modern AI is that I chose to look at artificial intelligence through the lens of visual intelligence because humans are deeply visual animals. We can talk a little more later, but so much of our intelligence is built upon visual, perceptual, spatial understanding, not just language per se. I think they're complementary.
And I think two things happened to myself that brought my own career so close to the birth of modern AI is that I chose to look at artificial intelligence through the lens of visual intelligence because humans are deeply visual animals.