Googles next mission : Deep Mind

Here is a new article on googles next mission. That is “Deep Mind”.

Some Intro about Deep MInd:

Google DeepMind is a British artificial intelligence company founded in September 2010 as DeepMind Technologies. It was renamed when it was acquired by Google in 2014. The company has created a neural network that learns how to play video gamesin a fashion similar to that of humans,[4] as well as a Neural Turing Machine, or a neural network that may be able to access an external memory like a conventional Turing machine, resulting in a computer that mimics the short-term memory of the human brain.[5] The company made headlines in 2016 after its AlphaGo program beat a human professional Go player for the first time.
Google’s European research center is exploring more innovations by using their advanced technology on AI – Artificial Intelligence.
It is concentrating on main three areas – machine learning, natural language understanding and computer perception.

Emmanuel Mogenet, who will head the unit, said much of the research would be on teaching machines common sense.

There was, he said, “no limit on how big I grow the team”.

“We are very ambitious in terms of growth. The only limiting factor will be talent,” he told journalists gathered in Zurich to hear more about Google’s AI plans.

Machine learning is already the “secret sauce” in a lot of Google products, said Mr Mogenet, including search, spam filters, translation and content removal, as well as newer products such as its virtual helper Google Assistant, messaging app Allo and self-driving cars.

“We are on the brink of a brand new era of computing,” Mr Mogenet told journalists.

One of the key focuses would be on teaching computers “common sense”, he said.

“A four-year-old child learns about the world through their senses so they know that cows don’t fly without being told this. Computers need to understand some obvious things about the world so we want to build a common-sense database.”

Another key focus will be improving human/machine dialogue.

“Google has always been in the business of natural language because that is how people search but we have never really understood the question. We have just matched keywords with content and rank that content smartly,” he said.

“The next stage is to truly understand what people are asking.”

Finally, the researchers would delve beneath the bonnet to try to understand “how machines learn and why deep learning works so well”, he said.


Image captionOne on the moves in a game between AlphaGo and a world champion Go player has been hailed as a seminal moment for AI

Google’s high profile AI team DeepMind, based in London, has the broader ambition to “solve intelligence”.

It caused controversy recently when it was revealed that it had been given access to the healthcare data of millions of patients as part of a partnership with the NHS to develop an alert system for kidney disease.

DeepMind research scientist Thore Graepel was at the Zurich event to give an update on its other high-profile project – a landmark battle between human and AI, in which its computer program AlphaGo took on the world’s best Go player, winning four out of five of the games.

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