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Building AI Is Hard—So Facebook Is Building AI That Builds AI

Reporter: Aviva Lev-Ari, PhD, RN

 

By forcing computers to do more of the grunt work, the world’s biggest tech companies are accelerating how quickly AI enters the everyday world.

Sourced through Scoop.it from: www.wired.com

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In other words, for computers to get smarter faster, computers themselves must handle even more of the grunt work. The giants of the Internet are building computing systems that can test countless machine learning algorithms on behalf of their engineers, that can cycle through so many possibilities on their own. Better yet, these companies are building AI algorithms that can help build AI algorithms. No joke. Inside Facebook, engineers have designed what they like to call an “automated machine learning engineer,” an artificially intelligent system that helps create artificially intelligent systems. It’s a long way from perfection. But the goal is to create new AI models using as little human grunt work as possible.

Feeling the Flow

After Facebook’s $104 billion IPO in 2012, Hussein Mehanna and other engineers on the Facebook ads team felt an added pressure to improve the company’s ad targeting, to more precisely match ads to the hundreds of millions of people using its social network. This meant building deep neural networks and other machine learning algorithms that could make better use of the vast amounts of data Facebook collects on the characteristics and behavior of those hundreds of millions of people.

SOURCE

https://www.wired.com/2016/05/facebook-trying-create-ai-can-create-ai/