AutoML was developed because there are few experts with the knowledge to build highly complex AI systems. To meet the demand for experts, Google developed AutoML to create self-learning code, and in a way, clone itself. Google officially said this news in the blog.
Google says the system recently scored a record 82 percent at categorizing images by their content. Finding and marking the location of multiple objects in an image, an important task for augmented reality and autonomous robots, the auto-generated system scored 43 percent. The best human-built system scored 39 percent.
“AutoML is just our machines automatically generating machine learning models. Today, these are handcrafted by machine learning scientists and literally only a few thousands of scientists around the world can do this, design the number of layers, weight and connect the neurons appropriately. It’s very hard to do. We want to democratize this. We want to bring this to more people,” said Google CEO Sundar Pichai at the October 4 event.
Do you think we are approaching singularity with such self-learning systems? Share your taught to us.
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