Europe aims to catch up to China and United States in global artificial intelligence “arms race”

Artificial intelligence and machine learning are 2017 buzzwords — but where is it all happening? According to a study by Wuzhen Institute…

That artificial intelligence (AI) is growing faster than ever before is no surprise. Since 2010, it has grown at a compounded annual growth rate of almost 60%. Our Future Proof blog has already discussed many of the consequences of this growth. But while we can go on about what AI will mean to our future, who exactly will create this AI. Or, better yet, what are the countries leading the AI revolution?

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Advanced computer vision to automatically detect objects

In this post we will take you behind the scenes on how we built a state-of-the-art Optical Character Recognition (OCR) pipeline for our mobile document scanner.

An easy-to-use visual tool that lets you build, train, and ship custom deep learning models without writing code.

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Many startups promise to deliver successful AI solutions. But how can you separate truth from hype? Here's what matters when you're launching your startup that is rooted in AI.

Artificial intelligence was one of the hottest topics debated by attendees at this year’s World Economic Forum in Davos, Switzerland.

Artificial intelligence tools are only beginning to penetrate the workplace, but are causing leaders to rethink how their businesses run.

Artificial intelligence (AI), or ‘machine learning’, is one branch of technology that’s gaining a lot of traction in commercial applications and many businesses are looking at investing in emerging AI technology.

The Alexa voice platform and other deep learning projects have made Amazon an AI leader.

Most companies won’t survive the transition to a workplace powered by Artificial Intelligence. It all comes down to their internal culture…

Automation is happening, and it will bring substantial benefits to businesses and economies worldwide, but it won’t arrive overnight. A new McKinsey Global Institute report finds realizing automation’s full potential requires people and technology to work hand in hand.

Machine learning means smartphones will (nearly) always take perfect pictures. But it also means they might understand what’s in the picture and why you took it. So what do they do with that? What doe…

Forget Go or StarCraft—guessing the phrase behind a drawing will require machines to gain some understanding of the way concepts fit together in the real world.

578 leaderboards • 989 tasks • 743 datasets • 9237 papers with code.