for years, 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 needs to put in a lot of green, and that green needs to be low
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. for years, 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.
Morgan State University’s drive to achieve R1 status as a research institution is advancing with the creation of five new research centers and other factors.