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N” Driverless vehicles operated by Uber Technologies Inc [UBER.UL] were back on the road in San Francisco on Monday after one of its self-driving cars crashed in Arizona, the ride-hailing company said.

Uber’s autonomous vehicles in Arizona and Pittsburgh, Pennsylvania, remained grounded but were expected to be operating again soon, according to a spokeswoman for the company, who refused to be identified.

“We are resuming our development operations in San Francisco this morning,” she said in an email.

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Hedge funds have been trying to teach computers to think like traders for years.

Now, after many false dawns, an artificial intelligence technology called deep learning that loosely mimics the neurons in our brains is holding out promise for firms. WorldQuant is using it for small-scale trading, said a person with knowledge of the firm. Man AHL may soon begin betting with it too. Winton and Two Sigma are also getting into the brain game.

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Global AI investment fever has hit Russia, with a recently launched $100 million fund making its inaugural investments.

Announced in late 2016, the fund is backed by Larnabel VC, the venture arm of the Gutseriev family, one of the richest in Russia, and VP Capital, the investment vehicle of Belarussian businessman Viktor Prokopenya.

The joint fund is sector-agnostic. “We are interested in a wide range of companies that apply AI technologies in interesting, unique, and impactful ways. We don’t restrict ourselves to specific industries or sectors. We are interested in every application of artificial intelligence, from fintech to entertainment, to education, and beyond,” Prokopenya told East-West Digital News.

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Robotic Process Automation Market size is projected to reach USD 2,467.0 million by 2022, growing at a CAGR of 30.14%. While automated solutions industry estimated at the highest CAGR but Rule-based robotic process automation held a larger market share during the forecast period which is led by Asia Pacific region.

Browse 69 tables and 66 figures, 11 Company profiles spread across 146 pages available at http://www.reportsnreports.com/reports/901064-robotic-process-automation-market-by-process-automated-solution-decision-support-management-solution-and-interaction-solution-operation-rule-based-and-knowledge-based-type-tools-and-services-industry-a-st-to-2022.html.

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The prospect that artificial intelligence (AI) might one day surpass human intelligence is one that many people, including a number of notable personalities, are terrified of. And it’s not hard to see where that fear is coming from.

As it is, deep learning machines have already shown a number of ways where they outperform humans. So far, they can play video games, recognize faces, and even do stock market trading. There’s one area, though, where humans are still superior, and that’s the speed at which we learn.

Right now, humans learn at a rate that’s 10 times faster than that of a deep learning machine. And it is this ‘superiority’ that has kept that ‘AI taking over humans’ apocalyptic view in the background. Thanks (or no thanks?) to Google, however, this status quo is about to change.

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Tech to aid video search, detection of disease and of fraud.

Artificial intelligence has been the secret sauce for some of the biggest technology companies. But technology giant Alphabet Inc.’s Google is betting big on ‘democratising’ artificial intelligence and machine learning and making them available to everyone — users, developers and enterprises.

From detecting and managing deadly diseases, reducing accident risks to discovering financial fraud, Google said that it aimed to improve the quality of life by lowering entry barriers to using these technologies. These technologies would also add a lot of value to self-driving cars, Google Photos’ search capabilities and even Snapchat filters that convert the images of users into animated pictures.

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Elon Musk is famous for his futuristic gambles, but Silicon Valley’s latest rush to embrace artificial intelligence scares him. And he thinks you should be frightened too. Inside his efforts to influence the rapidly advancing field and its proponents, and to save humanity from machine-learning overlords.

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Facebook is developing at least four new consumer products that could be revealed at an April event, according to a new report.

The social network last year launched a futuristic hardware division called Building 8, which is said to be similar to Google X, the experimental lab behind the search company’s self-driving cars.

One of the prototypes created by Building 8 is a “brain computer interface” that sounds a lot like a platform once hinted at by Mark Zuckerberg, which would allow users to share information telepathically.

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