Machines Can Now Recognize Something After Seeing It Once

Most of us can recognize an object after seeing it once or twice. But the algorithms that power computer vision and voice recognition need thousands of examples to become familiar with each new image or word. Researchers at Google DeepMind now have a way around this. They made a few clever tweaks to a deep-learning algorithm that allows it to recognize objects in images and other things from a single example—something known as “one-shot learning.” The team demonstrated the trick on a large database of tagged images, as well as on handwriting and language. The best algorithms can recognize things reliably, but their need for data makes building them time-consuming and expensive. An algorithm trained to spot cars on the road, for instance, needs to ingest many thousands of examples…


Link to Full Article: Machines Can Now Recognize Something After Seeing It Once

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