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O 2017 shows Google is no longer a search company In the recent years Google has hinted that it has changed.
But for the first time, as it opened the I/O 2017, the company's annual conference for developers this year, it categorically, in absolute clarity, said it was no longer the same search company that once helped people find the circumference of the earth or where they could see some information about a restaurant. Google CEO Sundar Pichai, who opened the keynote at the I/O, said Google was re imagining its products, including the search which is at the centre of everything Google does, with the help of artificial intelligence (AI) and machine learning. It is no longer a mere search company. It doesn't anymore just want to index all the information in the world. It now also wants to use this information in ways that were unimaginable a few years ago by feeding this information into machines and training the AI that will train the other smart machines. In everything that Google is doing now, AI and machine learning are playing a role. And it is already leading to not just the improvement in what Google offers to consumers but is also opening some new unforeseen doors in the way Google works and on what it works. "We are now witnessing a new shift in computing: the move from a mobile first to an AI first world. And as before, it is forcing us to reimagine our products for a world that allows a more natural, seamless way of interacting with technology," Pichai, an IITian who led Google's Chrome division before becoming the company CEO, told thousands of developers at the I/O event here in Mountain view. "Think about Google Search: it was built on our ability to understand text in webpages. But now, thanks to advances in deep learning, we're able to make images, photos and videos useful to people in a way they simply haven't been before." AI is smart, very smartThe early results of giving AI and machines, which are now learning by themselves, a bigger role in Google has been that the company's services have improved significantly. Repeatedly, Google executives have explained how machine learning has led to big improvements in everything that Google does. The Google Android phones and smart speakers like Google Home can now recognise voices and interpret them with more precision. They have become so good at connecting the voices to people that Google now allows different people to use one Google Home. It now recognises the voice of a person and offers the services that are relevant to that person. If you tell it to play your favourite song,for example, it will play Another Brick In the Wall. In fact for languages that have similar script, such as French and English, the Google Translate tool using machine learning is almost as louis vuitton resale atlanta good as a proficient human translator. The AI and machine learning are now also powering other Google products. The Google Assistant, which is the virtual assistant from Google and which competes with Apple's Siri and Microsoft Cortana, has become so good at connecting dots that it now offers context and connects dots to help users do their work. For example, you don't have to tell Google Assistant where you want to find the best restaurant. You can just tell it to find the best restaurant. It already knows your location, and in future will probably also know your food preference. So it connects dots, and gives you the best restaurants in the area where you are located at particular point of time. Also Read: Google I/O 2017: louis vuitton bags yellow Android Go, new VR headset, Google Lens and other key announcements Then there is the Google Photos. At I/O, Anil Sabharwal who heads the Google Photos, revealed a new feature in the app that will help users share photos. And how will it do that? By identifying people in your photos and then nudging you to share the photos with them. For example you click the photo of your friend Ruchi and because she is looking great in that photo, the Google Photos will remind you to share it with her even if you forget to do so. Anil gave an example. He wants to automatically share with his wife all the photos that have their kids in them. If he clicks a photo of his daughter, he wants that photo to automatically go to his wife. Google Photos, because it has become so good at recognising people, can do it now. In Gmail, meanwhile, Google is introducing smart replies, which too will use machine learning to reply to your emails on your behalf. Not just photos and emailsAlthough the new Google Photos is smart and so is the new Gmail, that is not what makes Google an AI company. What brings home the point that Google is a different company now is the fact that its mission itself seems to have changed. "From the louis vuitton theda bracelet start, we've looked to solve complex problems using deep computer science and insights, even as the technology around us forces dramatic change," said Pichai. But while earlier for Google the complex problem was how to figure out a way to differentiate between word Tornado from the movie Tornado and offer a web user the right search results when she looks for "tornado", now the scope is so much bigger. Now Google wants to solve more complex problems that the world and people face, like detecting cancer before it is in the advanced staged. That is just one part. Now it also wants to solve the traffic problems in the world and wants to save lives by eliminating traffic accidents with its driverless cars. And now it wants to detect eye problems that lead to blindness among diabetics. And it wants machines to create music. And wants the smarter machines that could do the manual jobs that humans do currently. The impressive part or the scary part, depending on how you see it of the whole story is that none of this is, ahem, a daydream. Using AI and machine learning, Google is already making good progress on its goals. "We've used ML to improve the algorithm that detects the spread of breast cancer to adjacent lymph nodes," says Pichai as he tells developers that Google's algorithms are already better at detecting cancer compared to humans. Although, they also have one problem for now: the false positives detecting cancer when it is not there is also high. But this louis vuitton purses 2013 is a problem that Google believes it will be able to fix soon. And it goes even beyond detecting diseases. "We've also seen AI make strides in the time and accuracy with which researchers can guess the properties of molecules and even sequence the human genome," says Pichai. This is probably the only world where you don't win by not sharing. Instead, you win only if you share. Microsoft won the PC wars because it shared Windows, even if at a price. Linux nowadays rules the world because it was shared. Android is the biggest computing platform in the world because it gets shared. Now Google is sharing all that it knows about AI and machine learning. The website also shares some tools Google uses for its machine learning research. Now Google wants to solve bigger problems that the world faces, like detecting cancer before it is in the advanced staged. And that is just one part of the story. "It's important to us to make these advances work better for everyone not just for the users of Google products. We believe huge breakthroughs in complex social problems will be possible if scientists and engineers can have better, more powerful computing tools and research at their fingertips. But today, there are too many barriers to making this happen," said Pichai. People are apparently using Google's methods to solve the problems in some creative ways. "It's inspiring to see how AI is starting to bear fruit that people can actually taste. There is still a long way to go before we are truly an AI first world," says Pichai. That is true. And it is also true that a world where AI underpins everything, from telling pictures of cats apart from those of dogs as well as telling a patient what are the chances of recovery, may not be the kind of utopia that many are dreaming of right now.
But whether the AI leads to a better world or to one where everything will turn topsy turvy, right now Google has decided what it wants to be in a future that is driven my neural networks and artificial intelligence. It doesn't want to be a mere search engine company. It wants to be the company that will create the AI network, that giant neural network, which will connect to everything and everyone in the world.
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