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Science 2.0 Teams Up With Ora TV

Science 2.0 Teams Up With Ora TV

Science 2.0, the future of science, has teamed up with Ora.TV, the future of television, for a joint marketing agreement. read...

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Making Smarter Smart Homes

Making Smarter Smart Homes

The 21st century will be the century of the 'smart home', where your home and your portable technology all interact seamlessly with one another. read...

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Science 2.0: Network Modeling To Seek Out Misinformation Diffusion

Science 2.0: Network Modeling To Seek Out Misinformation Diffusion

If you read politics on Twitter, you would have recently seen that Republicans in the U.S. Congress are going to impeach President Obama if they get enough seats in November, so it is vital that Democrats win elections.  read...

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The Big Data Problem Will Also Be A Problem For Science 2.0

The Big Data Problem Will Also Be A Problem For Science 2.0

George Dyson. Credit: edge.orgIf you read about Big Data for very long, a quote from science historian George Dyson is sure to come up: "Big data is what happened when the cost of keeping information became less than the cost of throwing it away." That will be a platform to talk about the challenges, etc.But there is a bigger problem that shows the challenges of Big Data - that isn't what...

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Beyond Bayes: What Data-Driven Analysis Could Mean For Sports – And Science 2.0

So the USA lost to Belgium in the World Cup elimination round. I predicted a win for the US for a simple reason - Belgium, I said, does not know how good it is, whereas the US does. That's fuzzy logic, right? Well, that is what a lot of sports analysis is, because analysis at its heart relies on subjective scouting. Pundits can pretend to science it up all they want, but they are just doing...

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IBM Wants To Manage Big Data For The Internet Of Things – What It Means For Science 2.0

IBM takes data seriously, as seriously as they took Business Machines back in their early days. They want to be the resource for the blanket concept of The Internet Of Things. Someone will have to do it, because the amount of information available today is overwhelming. When you can produce 250 gigabytes of data an hour, you have too much data. Or you are onto something big. read...

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