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January 27, 2014 07:19 pm GMT
Google seems to have paid at least $500 million to acquired DeepMind, an artificial intelligence startup that has a number of high-profile investors, and that has demoed tech that shows computers playing video games in ways very similar to human players. Facebook reportedly also tried to buy the company, and the question on most people’s minds is “Why?” More intelligent computing means more insightful data gathering and analysis, of course. Any old computer can collect information, and even do some basic analytics work in terms of comparing and contrasting it to other sets of data, and then drawing simple conclusions where causal or correlational factors are plainly obvious. But it still takes human analysts to make meaning from all that data, and to select the significant information from the huge, indiscriminate firehose of consumer data that comes in every day. AI and machine learning expertise can help improve the efficiency and quality of data gathered by Google and other companies who rely on said information, but it can also set the company up for the next major stage in computing interaction: turning the Internet of Things into the Internet of Companions. Google is hard at work on tech that will make even more of our lives computer-centric, including driverless cars and humanoid robots to take over routine tasks like parcel delivery, but all those new opportunities for computer interaction need a better interface if they’re to become trusted and widely used. I'm still guessing that Google's robot play is a transportation network— Chad Catacchio (@chadcat) January 27, 2014 Google has already been working on building software and tech than anticipates the needs of a user and acts as a kind of personal valet. Google Now parses information from your Gmail and search history to predict what you’ll ask about and provide the information in advance. Now has steadily been growing smart and incorporating more data sources, but it still has plenty of room for improvement, and there’s no better way to anticipate a human’s needs than with a computer that thinks like one. Another key component of Google’s future strategy has to do with hardware. The company’s last high-profile acquisition was Nest Labs, which it bought for $3.2 billion in cash earlier this month. Nest’s smart thermostat also uses a significant amount of machine learning to help anticipate the schedule and needs of its users, which is something that DeepMind
Original Link: http://feedproxy.google.com/~r/Techcrunch/~3/kzeDLrEjfpI/
With DeepMind, Google Prepares For A Future Where We See Ourselves In Every Computing Interaction
Google seems to have paid at least $500 million to acquired DeepMind, an artificial intelligence startup that has a number of high-profile investors, and that has demoed tech that shows computers playing video games in ways very similar to human players. Facebook reportedly also tried to buy the company, and the question on most people’s minds is “Why?” More intelligent computing means more insightful data gathering and analysis, of course. Any old computer can collect information, and even do some basic analytics work in terms of comparing and contrasting it to other sets of data, and then drawing simple conclusions where causal or correlational factors are plainly obvious. But it still takes human analysts to make meaning from all that data, and to select the significant information from the huge, indiscriminate firehose of consumer data that comes in every day. AI and machine learning expertise can help improve the efficiency and quality of data gathered by Google and other companies who rely on said information, but it can also set the company up for the next major stage in computing interaction: turning the Internet of Things into the Internet of Companions. Google is hard at work on tech that will make even more of our lives computer-centric, including driverless cars and humanoid robots to take over routine tasks like parcel delivery, but all those new opportunities for computer interaction need a better interface if they’re to become trusted and widely used. I'm still guessing that Google's robot play is a transportation network— Chad Catacchio (@chadcat) January 27, 2014 Google has already been working on building software and tech than anticipates the needs of a user and acts as a kind of personal valet. Google Now parses information from your Gmail and search history to predict what you’ll ask about and provide the information in advance. Now has steadily been growing smart and incorporating more data sources, but it still has plenty of room for improvement, and there’s no better way to anticipate a human’s needs than with a computer that thinks like one. Another key component of Google’s future strategy has to do with hardware. The company’s last high-profile acquisition was Nest Labs, which it bought for $3.2 billion in cash earlier this month. Nest’s smart thermostat also uses a significant amount of machine learning to help anticipate the schedule and needs of its users, which is something that DeepMindOriginal Link: http://feedproxy.google.com/~r/Techcrunch/~3/kzeDLrEjfpI/
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