Fei Fei Li

People working on visual intelligence from neuroscience, from AI, start to orbit around this idea that the ability to recognize things all kinds of objects is so critical for human visual intelligence. When I say all kinds of objects, I really mean all kinds. I'm sitting here in your beautiful room. There's table, bottles, couch, pillow, a globe, books, flower, vase, plants.

People working on visual intelligence from neuroscience, from AI, start to orbit around this idea that the ability to recognize things all kinds of objects is so critical for human visual intelligence. When I say all kinds of objects, I really mean all kinds. I'm sitting here in your beautiful room. There's table, bottles, couch, pillow, a globe, books, flower, vase, plants.

Okay, that's behind you. That's behind you. It's about to eat you. Shirts and skirts and boots and TV. So the ability for humans to be able to learn such a complicated world of objects.

Okay, that's behind you. That's behind you. It's about to eat you. Shirts and skirts and boots and TV. So the ability for humans to be able to learn such a complicated world of objects.

Okay, that's behind you. That's behind you. It's about to eat you. Shirts and skirts and boots and TV. So the ability for humans to be able to learn such a complicated world of objects.

It's so fascinating, and I started to believe, along with my advisors, this is a critical problem for the foundation of intelligence. And that really started to become the North Star of my scientific pursuit, is how do we crack the problem of object recognition?

It's so fascinating, and I started to believe, along with my advisors, this is a critical problem for the foundation of intelligence. And that really started to become the North Star of my scientific pursuit, is how do we crack the problem of object recognition?

It's so fascinating, and I started to believe, along with my advisors, this is a critical problem for the foundation of intelligence. And that really started to become the North Star of my scientific pursuit, is how do we crack the problem of object recognition?

Right. So that's the parallel story I was writing the book about.

Right. So that's the parallel story I was writing the book about.

Right. So that's the parallel story I was writing the book about.

Right. Well, the field of computing, thanks to people like Alan Turing von Neumann, was starting during World War II time, basically. Of course, for the The world of AI, a very important moment was 1956, when what we now call the founding fathers of AI, like Marvin Minsky, John McCarthy, Claude Shannon, they get together under, I believe, a U.S. government grant.

Right. Well, the field of computing, thanks to people like Alan Turing von Neumann, was starting during World War II time, basically. Of course, for the The world of AI, a very important moment was 1956, when what we now call the founding fathers of AI, like Marvin Minsky, John McCarthy, Claude Shannon, they get together under, I believe, a U.S. government grant.

Right. Well, the field of computing, thanks to people like Alan Turing von Neumann, was starting during World War II time, basically. Of course, for the The world of AI, a very important moment was 1956, when what we now call the founding fathers of AI, like Marvin Minsky, John McCarthy, Claude Shannon, they get together under, I believe, a U.S. government grant.

DARPA funded to have a summer-long workshop at Dartmouth with a group of computer scientists. At that point, the field of AI was barely kind of boring, not boring yet. They got together and wrote this memo or this white paper about artificial intelligence. In fact, John McCarthy, one of the group leaders, was responsible for coining the term artificial intelligence. Okay.

DARPA funded to have a summer-long workshop at Dartmouth with a group of computer scientists. At that point, the field of AI was barely kind of boring, not boring yet. They got together and wrote this memo or this white paper about artificial intelligence. In fact, John McCarthy, one of the group leaders, was responsible for coining the term artificial intelligence. Okay.

DARPA funded to have a summer-long workshop at Dartmouth with a group of computer scientists. At that point, the field of AI was barely kind of boring, not boring yet. They got together and wrote this memo or this white paper about artificial intelligence. In fact, John McCarthy, one of the group leaders, was responsible for coining the term artificial intelligence. Okay.

It could calculate.

It could calculate.

It could calculate.