A Quote by Homer
The internet wasn't created for mockery, it was supposed to help researchers at different universities share data sets. It was!
Related Quotes
There will be many cases when researchers will need to look at data to come closer to a cure, in maybe five years, 10 years, 15 years. We can help make that data analysis easier. We can't let this wait. Dementia has potential to cripple our economy.
My work shows how important it is that independent researchers should have access to data so that government statistics can be checked and so that the democratic debate within India can be informed by the different interpretations of different scholars.
What's needed now are software technologies that interconnect computing systems, people and data to produce more rapid answers to the questions of science, and to help researchers use computation in the most effective manner.
Bitcoin is a peer-to-peer, decentralized form of money, as durable as the Internet itself. Remember, the Internet - or DARPA, as it was originally called - was created as a fail-safe, global network with no 'single point of failure.' If one part goes down, data takes another route, and nothing is lost.
The Internet was supposed to bring people together, but it's created big divisions.
One of the myths about the Internet of Things is that companies have all the data they need, but their real challenge is making sense of it. In reality, the cost of collecting some kinds of data remains too high, the quality of the data isn't always good enough, and it remains difficult to integrate multiple data sources.
People think 'big data' avoids the problem of discrimination because you are dealing with big data sets, but, in fact, big data is being used for more and more precise forms of discrimination - a form of data redlining.
One of the Internet's strengths is its ability to help consumers find the right needle in a digital haystack of data.
Some colleges and universities in Virginia have chosen to ban concealed carry, and we believe that those universities have created more dangerous environments for their students, faculty, and staff.
When dealing with data, scientists have often struggled to account for the risks and harms using it might inflict. One primary concern has been privacy - the disclosure of sensitive data about individuals, either directly to the public or indirectly from anonymised data sets through computational processes of re-identification.
While many big-data providers do their best to de-identify individuals from human-subject data sets, the risk of re-identification is very real.
Data don't generate theory - only researchers do that.
A lot of environmental and biological science depends on technology to progress. Partly I'm talking about massive server farms that help people crunch genetic data - or atmospheric data. But I also mean the scientific collaborations that the Internet makes possible, where scientists in India and Africa can work with people in Europe and the Americas to come up with solutions to what are, after all, global problems.
Data and data sets are not objective; they are creations of human design. We give numbers their voice, draw inferences from them, and define their meaning through our interpretations.
Some incubators, like Y Combinator and TechStars, were started by successful entrepreneurs wishing to help the next generation learn from their experiences. Other programs, such as Viterbi Startup Garage and Austin Technology Incubator, were created by universities to help young entrepreneurs bridge the knowledge gap from student to funded company.
We will continue to work with agencies across the government to unleash the power of open data and to make government data more accessible and usable for entrepreneurs, companies, researchers, and citizens everywhere - innovators who can leverage these resources to benefit Americans in a rapidly growing array of exciting and powerful ways.
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