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Titanic: Machine Learning from Disaster

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See best practice code and explore visualizations of the Titanic dataset on Kaggle Scripts. Submit directly to the competition, no data download or local environment needed! The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships.


Eric Schmidt sees a huge future for machine learning

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The man who helped build Google from a search engine into one of the biggest and most influential companies in the world has predicted the emergence of a new computing architecture based on crowd-sourced data and machine learning. Speaking at Google's GCP Next cloud computing conference in San Francisco, Alphabet Chairman Eric Schmidt said the combination of crowd-sourced data and machine learning will be the basis of "every successful huge IPO" in five years. He said the adoption of machine learning will allow companies to mine crowd-sourced data, which already provides a mass of information not previously available to companies, and improve on it. "You're going to use machine learning to take that data and do something that's better than what the humans are doing," he said. Schmidt said the wide adoption of machine learning in computing will be as significant as the switch from the Web to smartphone apps, which spawned the success of companies like Uber and Snapchat.


Google launches new machine learning platform

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Google today announced a new machine learning platform for developers at its NEXT Google Cloud Platform user conference in San Francisco. As Google chairman Eric Schmidt stressed during today's keynote, Google believes machine learning is "what's next." With this new platform, Google will make it easier for developers to use some of the machine learning smarts Google already uses to power features like Smart Reply in Inbox. "Major Google applications use Cloud Machine Learning, including Photos (image search), the Google app (voice search), Translate and Inbox (Smart Reply)," the company says. "Our platform is now available as a cloud service to bring unmatched scale and speed to your business applications."


Artificial Intelligence Is Here To Change Your Life

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Take a second to think about the smartphone in your pocket. When you were born, the idea of such a small, powerful computer was a sci-fi dream -- and now these devices are everywhere, transforming personal health, relationships and business transactions so completely that life without them seems impossible. We're entering a new era of technology that's bound to shape the lives of our children more substantially. It's the era of artificial intelligence, and a group of academics and industry leaders gathered at the MIT Tech Conference on Saturday assured a full audience that the seeds of this robotic revolution are already planted and growing. "We're only at the beginning," Rob High, chief technology officer of IBM Watson, a business unit centered around the titular computing system, said during a keynote speech at the conference.


Despite progress, the future of AI will require human assistance

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Part one of this story on the future of AI explained how technology developments have led to a resurgence in a... This email address is already registered. By submitting my Email address I confirm that I have read and accepted the Terms of Use and Declaration of Consent. By submitting your email address, you agree to receive emails regarding relevant topic offers from TechTarget and its partners. You can withdraw your consent at any time.


5 companies you can't afford to ignore in 2016

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Any savvy investor with a hand in tech stock knows that an innovation gold rush is well underway. Although the market is viciously competitive, creative upstarts that aim to change the game in their field are increasingly gaining an edge over bigger, less adaptable entities. The name of the game is Change, so the companies to watch are those who are making the biggest waves in their industry, the ones who promise to disrupt the status quo, the ones who are launching new methods and ideas in stagnant landscapes. In 2016, these are just five companies to keep an eye on, because when their innovations go mainstream, we'll be looking at tidal waves. Ten years ago, when the concept of "the cloud" first got rolling, the public looked at the technology with a skeptical eye.


Swiss startup wants to buy Boston Dynamics

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Demiurge Technologies AG, a Swiss startup that works on artificial intelligence, says it's interested in acquiring Boston Dynamics, the Waltham robot maker put on the auction block last week by Alphabet Inc., parent company of Google. "We are pursuing an acquisition of Boston Dynamics to develop a new Robot Operating System (ROS) based on Demiurge's next generation of deep neural networks exclusively for physical mobile robots," said a statement issued by Demiurge. Little more is known about Demiurge. According to information on the company's website, it was launched last May with 9.5 million in angel and venture funding. Investors include Vantone Holdings and Hongdao Capital.


Philanthropist Paul Allen announces 100 million gift to expand 'frontiers of bioscience'

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Billionaire philanthropist Paul Allen has announced a 100 million commitment over 10 years to fund scientific endeavors at the "frontiers of bioscience" that he describes as having major implications for humankind. An initial set of grants, announced Wednesday, will go to Stanford and Tufts universities for the creation of new research centers and to individual scientists with unconventional approaches to projects in tissue regeneration, antibiotic resistance, gene editing and the development of brain circuitry. Allen said his commitment grew out of a realization that the biological sciences are at a critical point in history, with technology now able to take the field in a more quantitative direction than ever before. New tools can manipulate DNA, next-generation microscopes measure and create images of the tiniest parts of living systems, and super-powerful computers are able to make sense of massive amounts of data. "What I believe is that this is potentially a game-changer for our understanding of complex biological systems," Allen said.


Why now-tech matters more than next-tech

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If you have had even a remote interest in following what went on in Austin last week, it's likely you will have come across that sentiment expressed somewhere. Even the SXSW organisers were, grudgingly, admitting that there was no new tech or app grabbing the headlines. In 2015, Meerkat stole the show, possibly forcing Twitter to accelerate the launch of Periscope, its own live-streaming video app. In 2009, there was Foursquare and SXSW 2007 saw the explosion of Twitter. Hiroshi Ishiguro brought his personal clone Geminoid android, while Hanson Robotics had their'Sophia' join the panel discussion on extreme robotics.


The Current State of AI, According to Nvidia - DATAVERSITY

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Andrew Nusca of Fortune recently interviewed Nvidia CEO Jen-Hsun Huang about the current state of artificial intelligence. Huang told Nusca, "2015 was a big year. Artificial intelligence is moving into the commercial world. AI has been worked on for many years, largely in research. Various aspects of commercial use of AI, otherwise known as machine learning, is used for advertising and web searches and things like that. It wasn't until the last few years that AI could do things that people can't do. Several milestones were achieved in 2015 in particular that made it possible for us to use it in all kinds of areas."