ANSWER: Both of the above
Explanation:
MIT researchers have developed a new artificial intelligence system that can take still images and generate short videos to simulate what happens next, similar to how humans can visually imagine how a scene will evolve.
- Humans intuitively understand how the world works.
- Objects in a still image could move and interact in a multitude of different ways, making it very hard for machines to accomplish this feat.
- The new deep-learning system is able to trick humans 20 per cent of the time when compared to real footage.
- Scientists pitted two neural networks against each other, with one attempting to distinguish real videos from machine-generated ones, and the other making an effort to create videos that were realistic enough to trick the first system.
- When the researchers asked workers on Amazon's Mechanical Turk crowd-sourcing platform to pick which videos were real, the users picked the machine-generated videos over genuine ones 20 per cent of the time.
- The approach could eventually help robots and self-driving cars navigate dynamic environments and interact with humans, or let Facebook automatically tag videos with labels describing what is happening, researchers said.
