A modern car can have as many as 200 on-board sensors, measuring everything
from tyre pressure to windscreen temperature. A high-end Lexus contains 67
microprocessors, and even the world’s cheapest car, the Tata Nano, has a dozen.
Voice-driven satellite navigation is routinely used by millions of people.
Radar-equipped cruise control allows vehicles to adjust their speed
automatically in traffic. Some cars can even park themselves.
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Once a purely mechanical device, the car is going digital. “Connected cars”,
which sport links to navigation satellites and communications networks—and,
before long, directly to other vehicles—could transform driving, preventing
motorists from getting lost, stuck in traffic or involved in accidents. And
connectivity can improve entertainment and productivity for both driver and
passengers—an attractive proposition given that Americans, for example, spend 45
hours a month in their cars on average. There is also scope for new business
models built around connected cars, from dynamic insurance and road pricing to
car pooling and location-based advertising. “We can stop looking at a car as one
system,” says Rahul Mangharam, an engineer at the University of Pennsylvania,
“and look at it as a node in a network.”
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Ensembl is a joint project between EMBL - EBI and the Sanger Institute to develop a software system which produces and maintains automatic annotation on selected eukaryotic genomes. Ensembl is primarily funded by the Wellcome Trust. This site provides free access to all the data and software from the Ensembl project. Click on a species name to browse the data.
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Welcome to Open Context, a free, open access resource for the electronic publication of primary field research from archaeology and related disciplines. Open Context provides an integrated framework for users to search, explore, analyze, compare and tag items from diverse field projects and collections.
Automotive technology: The connected car | The Economist - 0 views
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The best known connected-car technology is satellite navigation, which uses the global-positioning system (GPS) in conjunction with a database of roads to provide directions and find points of interest. In America there were fewer than 3m navigational devices on the road in 2005, nearly half of which were built in to vehicles. But built-in systems tend to be expensive, are not extensible, and may quickly be out of date. So drivers have been taking matters into their own hands: of the more than 33m units on the road today, nearly 90% are portable, sitting on the dashboard or stuck to the windscreen.
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Zipcar, the largest car-sharing scheme, shares 6,000 vehicles between 275,000 drivers in London and parts of North America—nearly half of all car-sharers worldwide. Its model depends on an assortment of in-car technology. “This is the first large-scale introduction of the connected car,” claims Scott Griffith, the firm’s chief executive
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The YAGO-NAGA project started in 2006 with the goal of building a conveniently searchable, large-scale, highly accurate knowledge base of common facts in a machine-processible representation. We have already harvested knowledge about millions of entities and facts about their relationships, from Wikipedia and WordNet with careful integration of these two sources. The resulting knowledge base, coined YAGO, has very high precision and is freely available. The facts are represented as RDF triples, and we have developed methods and prototype systems for querying, ranking, and exploring knowledge. Our search engine NAGA provides ranked answers to queries based on statistical models.
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