Friday, 1 de July de 2016

Noticias y opinión en Computación Inteligente


The Evolution of Computer Science

Computing the energy levels of a helium atom in 1958 was significantly harder than it is today. But a comparison of then and now methods reveals some counterintuitive anomalies about the impact of computer science

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A quick fix for queues

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Novel 'Cuckoo Search Algorithm' Beats Particle Swarm Optimization in Engineering Design

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Nuevo sistema para la solución de problemas complejos por comunidades de bacterias

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Matrix Decompositions

Complex computer models can involve thousands of variables. But paradoxically, adding more variables can sometimes make them easier to work with.

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Computational Model Being Developed for Estimating Populations of Large Carnivores

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Will computers overtake humans in intellectual ability?

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Un cerebro computacional atraerá a un millar de científicos europeos al año

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Software Works Out What's Troubling a PC

A startup hopes to help computer users tune their machines.

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Danger Room What’s Next in National Security Darpa’s Self-Learning Software Knows Who You Are

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Un consorcio español investiga cómo mejorar el sistema de distribución eléctrica

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Cloud Computing y SaaS: Nuevo paradigma de Software Empresarial

Bajo este título ha tenido lugar un Desayuno Tecnológico organizado por el Instituto Tecnológico de Informática y en el que se han presentado casos de éxito de la mano de empresas líderes en el mercado SaaS

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Desarrollan un sistema seguro que monitoriza el transporte de mercancías en tiempo real

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El mercado TIC crece un 3% en España

El Informe GfK TEMAX España apunta a la electrónica de consumo como principal impulsor de los buenos resultados registrados en el primer trimestre del año, con un crecimiento del 16,5 por ciento protagonizado por los televisores.

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Machines that learn better

(PhysOrg.com) -- In the last 20 years or so, many of the key advances in artificial-intelligence research have come courtesy of machine learning, in which computers learn how to make predictions by looking for patterns in large collections of training data. A new approach called probabilistic programming makes it much easier to build machine-learning systems, but it’s useful for a relatively narrow set of problems. Now, MIT researchers have discovered how to extend the approach to a much larger class of problems, with implications for subjects as diverse as cognitive science, financial analysis and epidemiology.

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Software that Learns by Watching

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ITI presentará sus capacidades en materia TIC aplicadas a la automoción en el Salón Internacional del Automóvil Ecológico y de la Movilidad Sostenible de la mano de REDITA

La feria tendrá lugar en Feria Madrid del 20 al 23 de mayo y acogerá a un gran número de empresas  fabricantes e importadores de automóviles, así como otros sectores relacionados, como el de la tecnología y la eficiencia energética

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Seeing is understanding: using artificial intelligence to analyse multimedia content

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Can Social Networks Be Generated Automatically?

Companies face challenges mining social ties.

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When good enough is better: System finds sections of computer programs where accuracy can be traded for speed

"It used to be that people used computers for computations where there was a single, hard, logical right answer," says Martin Rinard, a professor of computer science at MIT. "Now, the landscape is changing." When you do a Google search, for instance, the exact order of the first few results may not matter as much as getting an answer quickly. In the Internet age, when Web servers are performing computations for thousands of users at once, and sending the results across thousands of miles of optical fiber, programs that can efficiently find adequate solutions to a problem are often preferable ...

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