A new innovation has allowed for “computer vision” to become a reality, where artificial intelligence is able to perceive the world more like humans. Adam Zewe from the Massachusetts Institute of Technology puts it best: ”Computer vision systems sometimes make inferences about a scene that fly in the face of common sense. For example, if a robot were processing a scene of a dinner table, it might completely ignore a bowl that is visible to any human observer, estimate that a plate is floating above the table, or misperceive a fork to be penetrating a bowl rather than leaning against it. Move that computer vision system to a self-driving car and the stakes become much higher — for example, such systems have failed to detect emergency vehicles and pedestrians crossing the street. To overcome these errors, MIT researchers have developed a framework that helps machines see the world more like humans do. Their new artificial intelligence system for analyzing scenes learns to perceive real-world objects from just a few images, and perceives scenes in terms of these learned objects.”
The new program allows the artificial intelligence system to review the materials observed with human input data, making it so that there are more accurate results. The researchers state that this compensates for many of the issues made by “deep learning.” This feature makes the vision more common-sense based rather than probability based.
“If you don’t know about the contact relationships, then you could say that an object is floating above the table — that would be a valid explanation. As humans, it is obvious to us that this is physically unrealistic and the object resting on top of the table is a more likely pose of the object. Because our reasoning system is aware of this sort of knowledge, it can infer more accurate poses. That is a key insight of this work,” says lead author Nishad Gothoskar, an electrical engineering and computer science (EECS) PhD student with the Probabilistic Computing Project.
Enhancing the vision of artificial intelligence clears that way for new innovation in the machine learning industry. With better vision of the future, we will be able to create technology that can change the world.