foryears, machine learning systems have been vacuuming up all the images they can find online and their accompanying text descriptions. over time, the systems have learned to associate certain words and phrases with certain types of pictures and now, they seem to know enough to be able to work in reverse start with a description and get a picture. so, if i type in, an abandoned futuristic dystopian city overgrown with plants, bathed in sunlight , it will first come up with this. now, it doesn t look much, but i think there are some clues in here. for example, does it know
The White House’s Office of Science and Technology Policy launched a new initiative to level the playing field in science, technology, engineering, mathematics, and medicine
seconds, i will give you my best explanation. foryears, machine learning systems have been vacuuming up all the images they can find online and their accompanying text descriptions. over time, the systems have learned to associate certain words and phrases with certain types of pictures and now, they seem to know enough to be able to work in reverse start with a description and get a picture. so, if i type in, an abandoned futuristic dystopian city overgrown with plants, bathed in sunlight , it will first come up with this. now, it doesn t look much, but i think there are some clues in here. for example, does it know that the word plants means it
are really good, and the fact that this has all happened so fast has blown my mind. so, what on earth is going on? to put it simply, it s complicated. but if you give me 90 seconds, i will give you my best explanation. foryears, machine learning systems have been vacuuming up all the images they can find online and their accompanying text descriptions. over time, the systems have learned to associate certain words and phrases with certain types of pictures and now, they seem to know enough to be able to work in reverse start with a description and get a picture. so, if i type in, an abandoned futuristic dystopian city overgrown with plants,
but if you give me 90 seconds, i will give you my best explanation. for years, machine learning systems have been vacuum ing up all the images they can find online and their accompanying text descriptions. over time, the systems have learned to associate certain words and phrases with certain types of pictures. and now they seem to know enough to be able to work in reverse start with a description and get a picture. so if i type in, an abandoned futuristic dystopian city overgrown with plants, bathed in sunlight , it will first come up with this. now, it doesn t look much, but i think there are some clues in here. for example, does it know