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DeepMind’s AlphaGo to play on team with humans and to challenge five at once

After its game-playing AI beat the best human, Google subsidiary plans to test evolution of technology with Go festival

A year on from its victory over Go star Lee Sedol, Google DeepMind is preparing a “festival” of exhibition matches for its board game-playing AI, AlphaGo, to see how far it has evolved in the last 12 months.

Headlining the event will be a one-on-one match against the current number one player of the ancient Asian game, 19-year-old Chinese professional Ke Jie.

DeepMind has had its eye on this match since even before AlphaGo beat Lee. On the eve of his trip to Seoul in March 2016, the company’s co-founder, Demis Hassabis, told the Guardian: “There’s a young kid in China who’s very, very strong, who might want to play us.”

As well as the one-on-one match with Jie, which will be played over the course of three games, AlphaGo will take part in two other games with slightly odder formats.

One, “Pair Go”, will see

 

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Robots and AI are threatening close to a third of UK jobs, study reveals

Up to 30 per cent of UK jobs are at risk of being taken over by robots and Artificial Intelligence by the early 2030s, a new report warns.

The study, published by professional services firm PwC, claims that the likelihood of automation is highest in sectors including transport, manufacturing, wholesale and retail.

Education, health and social work are less at risk and— as a result of that— male workers are more likely to see their jobs taken over by robots than their female counterparts.

 

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A mind of its own – Humanity is already losing control of artificial intelligence and it could spell disaster for our species, warn experts

Researchers highlight the ‘dark side’ of AI and question whether humanity can ever truly understand its most advanced creations

What sets humans apart from machines is the speed at which we can learn from our surroundings. But scientists have successfully trained computers to use artificial intelligence to learn from experience – and one day they could be smarter than their creators.

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What’s your Artificial Intelligence strategy?

Companies across the world are waking up to the disruptive capabilities of Artificial Intelligence (A.I.) technologies. As the cost of computing falls, the range of tasks that can be automated becomes wider.

Automation is no longer the preserve of factory production lines. Even relatively complex and unpredictable tasks such as driving vehicles can now be performed reliably by machines. Many “knowledge worker” jobs are ripe for replacing with software, as many tasks are semi-routine and can be learned by a Machine Learning algorithm.

As well as cutting your staff costs, A.I. can help boost sales and increase your profit margin. For example, A.I. can make it cost effective to produce a product, service or marketing campaign for a single customer. The customer will be delighted at the care you’ve taken over them – while in fact, it was all automated.

How can you prepare your business for the A.I. revolution?

The first step towards successfully harnessing the power of A.I. is to collect good data. Lots of it!

Much of the recent advances are thanks to “Deep Learning” techniques, which rely on finding patterns in large datasets. Quality is just as important as quantity though. Any bias that is inherent in the way you collect data will be reflected in the machine’s predictions and behaviour.

These two factors combined explain why big players such as Google and Facebook want to get their hands on as much data as possible – e.g. emails, photos, location history – anything that could help them target advertising more effectively.

We can help you to put an effective data collection strategy in place, and identify the business opportunities – and threats – that A.I. opens up.

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When Money Talks, Watson Listens

Financial institutions are already familiar with integrating narrow artificial intelligence into their work. The algorithmic intelligences that currently work within the stock markets – designed to exploit tiny differences in value at lightning speed – now account for more than 75 percent of trades.However, computer scientists at IBM want to help make such decision making machines – and others – smarter.

They’ve developed a cognitive intelligence system known as IBM Watson™. Watson is a very different form of intelligence. Where algorithmic AI systems leverage the speed of computer systems to make decisions faster than a human could – without understanding the larger implications of those decisions – cognitive systems absorb human learning to support human processes.

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Why Artificial Intelligence Will Play a Big Role at This Year’s Masters

The artificial intelligence system is here to make sure you don't miss the tournament's biggest moments.

As the Masters Tournament kicks off on Thursday, nearly 100 golfers are vying to win the coveted green jacket. Collectively, they'll perform more than 20,000 drives, chips, and putts over the course of the weekend. So which ones will you, the viewer sitting at home or at work or watching on your phone, get to see?

That's what IBM's Watson is here to determine. Beginning this year, the artificial intelligence system will help the Masters quickly decide which highlights to push out to fans. Watson will use a variety of factors to assign every single shot an "excitement level" score to determine which replays to roll out to viewers.

That's what IBM's Watson is here to determine. Beginning this year, the artificial intelligence system will help the Masters quickly decide which highlights to push out to fans. Watson will use a variety of factors to assign every single shot an "excitement level" score to determine which replays to roll out to viewers.

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