Futurism October 16, 2017
Back in May, Google revealed its AutoML project; artificial intelligence (AI) designed to help them create
other AIs. Now, Google has announced that AutoML has beaten the human
AI engineers at their own game by building machine-learning software
that’s more efficient and powerful than the best human-designed systems.
An AutoML system recently broke a record for categorizing images by
their content, scoring 82 percent. While that’s a relatively simple
task, AutoML also beat the human-built system at a more complex task
integral to autonomous robots and augmented reality: marking the
location of multiple objects in an image. For that task, AutoML scored
43 percent versus the human-built system’s 39 percent.
These results are meaningful because even at Google, few people have
the requisite expertise to build next generation AI systems. It takes a
rarified skill set to automate this area, but once it is achieved, it
will change the industry. “Today these are handcrafted by machine
learning scientists and literally only a few thousands of scientists
around the world can do this,” WIRED reports Google CEO Sundar Pichai said. “We want to enable hundreds of thousands of developers to be able to do it.”
Much of metalearning is about imitating human neural networks and trying
to feed more and more data through those networks. This isn’t — to use
an old saw — rocket science. Rather, it’s a lot of plug and chug work
that machines are actually well-suited to do once they’ve been trained.
The hard part is imitating the brain structure in the first place, and
at scales appropriate to take on more complex problems.
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