New AI system developed at UCLA, Stanford mimics how humans visualize and identify objects
UCLA and Stanford University engineers have demonstrated a computer system that can discover and identify the real-world objects it “sees” based on the same method of visual learning that humans use.
The system is an advance in a type of technology called “computer vision,” which enables computers to read and identify visual images. It could be an important step toward general artificial intelligence systems — computers that learn on their own, are intuitive, make decisions based on reasoning and interact with humans in a much more human-like way. Although current AI computer vision systems are increasingly powerful and capable, they are task-specific, meaning that their ability to identify what they see is limited by how much they’ve been trained and programmed by humans. (more…)