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The company Kingston Digital Europe has launched the second generation of its flash drive DataTraveler Locker USB system with encryption hardware to give them more security and the data is more secure for users and, especially in cases of loss, but not by it becomes more expensive the product price, as they have been marketed at a price cheaper. These keys are also characterized as able to function interchangeably between Mac OS X and Windows, supporting the latter with Windows 7, Vista and Windows XP. They have also been designed to be compatible with USB 3.0.
But undoubtedly, the novelty of these new keys is your security system, where users have to configure only one password for access to the unit starts working immediately without having to use a additional software or partitions.
The advantage of these USB also is that Kingston have a password manager , so that it allows users to store their names and passwords, an option that is available for up to 20 accounts separate.
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As there had been rumors about a lot. To the point that the actual date of release of the eagerly awaited Windows 8 was becoming a sort of fetish. There was talk of autumn, of course, but now came the official date: October 26 . A lot in there for those who expect a return with a bang even towards the end of September.
The news post on the official blog of the company’s Redmond, supervised by the spokesman Brandon LeBlanc. On the same date, according to reassure the press, will begin launches of new Pc of various brands that have precisely the new operating system pre installed, including Surface.
Many new Windows 8: the button Start will be replaced by a management system full touch screen friendly baptized Start Screen : from there you will control all functions of the computer. The interface will be the Metro , already seen on mobile devices and precisely designed in optical tapping.
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Collaboration and interaction are crucial to the evolution of language as an international investigation. This research provides evidence for an alternative to the popular theories that explain the evolution of language through oral transmission from one generation to another. Has also established that the most effective ways of communicating can spread in a community the same way as do the virus from person to person.
Developed an international investigation involving the Department of Artificial Intelligence Faculty of Informatics, Polytechnic University of Madrid (UPM) has concluded that collaboration and interaction are crucial to the evolution of language, as well as the most effective forms of communication can be spread in a community in a similar way as viruses do, according to that power in a release.
The results of this research have been published in the journal Cognitive Science (Volume 34, Issue 3, 351-386, April 2010) and has become the most downloaded article from last year, with 1468 readings, according to Publisher’s WileyBlackwell’s 2010 Report.
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Chips made with magnetic dipoles of nanoscopic size only 18 millielettronvolt dissipate energy per operation at room temperature, the minimum permitted by the second law of thermodynamics
Computers of the future will rely on magnetic microprocessors that consume the least amount of power granted by the laws of physics, thanks to a new analysis conducted by a group of electrical engineers at the University of California, Berkeley.
The current silicon chips for microprocessors work due to the flow of electric currents that generate an enormous loss of energy as heat. The drawback, however, could be avoided with microprocessors that employ magnetic dipoles of nanoscopic size for logical operations, storage and switching, which theoretically would not require moving electrons.
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A new system based on Artificial Intelligence to determine the vote of a person who has not answered all the questions in a survey of political opinion. Developed at the School of Informatics, Polytechnic University of Madrid, has a reliability above 90% and substantially improve current methods of imputation.
Researchers from the School of Informatics, Technical University of Madrid have developed a fuzzy neural network is able to reconstruct incomplete data sets from a method of numerical and categorical attribution, substantially improving current methods of attributing the opinion polls. The research results were published in the journal Neural Computing & Applications.
The lack of data is a widespread problem in most surveys conducted in many different areas. The lack of precision in political opinion polls is due in large part to the current treatment of unanswered questions. The most common technique to address this shortcoming is the imputation, whereby missing data are calculated and added to the sample to obtain a more complete set. Imputation methods can infer numerical and categorical data.
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Artificial Intelligence opens up many possibilities for developing data processing systems more accurate and robust. That’s one of the main conclusions to be drawn from an international meeting of experts in this scientific area held recently at the University Carlos III of Madrid (UC3M).
In this framework, five leading scientists presented their latest progress in research on various aspects of AI. The speakers ranged from the more theoretical issues, and algorithms capable of solving combinatorial problems, to reason about emotions robots, vision systems used to track activities or automatic learning players how to win in a given situation. “Invite speakers from reference groups can offer an overview of the main open problems and techniques in the area, including advanced video and multisensor fusion, scheduling, machine learning, games, artificial consciousness or reason, experts say.
Speakers of the research group Avira (Machine Vision Systems and Real Time) at the University of Udine have been given an introductory seminar on techniques of data fusion and distributed vision. In particular, they have tried the automatic surveillance visual sensor networks, from basic techniques of image processing and object recognition to Bayesian reasoning to understand activities and machine learning and data fusion for high-performance systems .
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Laboratory experts from the Natural Language Engineering (NLE Lab), joined the Group of Natural Language Engineering and Pattern Recognition (ELiRF) of the Polytechnic University of Valencia have developed a new method for automatic detection of plagiarized text and in particular, translated plagiarism. The study, published recently in Languages Resources and Evaluation Journal, Is part of Text-Enterprise 2.0 project, funded by the Ministry of Science and Innovation.
“Today, the problem of plagiarism, including text, has increased due to the easy access to large sources of information through electronic means. Unfortunately, it is virtually impossible to detect manually. It is therefore important to develop automated mechanisms that allow for the detection task of plagiarism and so combat the growing temptation to plagiarize from the Web, “said Paolo Rosso, NLE Lab researcher at the Polytechnic University of Valencia.
Together with Alberto Barron-Cedeño, a doctoral student at the UPV, Paolo Rosso currently working on developing technology and applications for automatic detection of plagiarism and plagiarism specifically meant, for example when the source is written in English and Plagiarism is in Castilian or Valencian.
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Researchers at the Instituto de Astrofisica de Andalucia (IAA-CSIC), led by Luisa Maria Lara, develop an excellence project aimed at analyzing the data of some of the most important missions of space exploration in which the institution involved (Mars and Venus Express Cassini-Huygens Rosetta), and design the hardware of a special laser altimeter for the BepiColombo probe, one of the first observation of Mercury missions.
Mercury is one of the most mysterious planets in the Solar System. Observers of Ancient Greece was called in two ways: Apollo when it was visible at dawn, and Hermes when it was at dusk. However, Greek astronomers realized that relate to the same celestial body, with Pythagoras first proposed the idea.
Thousands of years later, our understanding of this rocky planet like Earth, is not a challenge to explore, but also it is a challenge of high technological capacity, its orbit is much closer than Earth to the Sun and to study their specific site of a probe must travel more than 90 million miles.
“The study of Mercury we should provide basic knowledge to lay the foundations for a landing mission. Understanding of Mercury will provide a quantum leap in understanding the formation and evolution of the solar system,” says the researcher. BepiColombo consists of two probes: MPO (Mercury Planetary Orbiter) and MMO (Mercury Magnetospheric Orbiter).
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More than 150 researchers from 18 universities have been the Spanish Thematic Network of Linked Data, similar to those already operating in countries like USA and UK. The aim is to transfer the public sources of data on subjects such as Spain geospatial information, financial reports of listed companies on the stock exchange, publications, references on food and agriculture, bus traffic and road conditions.
A score of Spanish research groups, which bring together over 150 researchers from 18 universities, have created the Spanish Thematic Network of Linked Data , in order to facilitate the exchange and transfer of knowledge, including Spanish researchers who are working in abroad in related areas, and to increase the international visibility of Spanish research in Linked Data. This was reported in a statement the School of Informatics, Polytechnic University of Madrid (UPM), from which leads the network.
Thematic Networks are associations of research groups from public or private entities whose activities are related science or technology within an area of shared interest.
Linked Open Data (LOD – Linked Open Data) is a global network of data now accumulated more than four and a half million bubbles references organized by topics related to each other through Internet. This global network of data is one of the pillars of the Semantic Web.
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Computer programs that are commonly used to study the coupling between proteins can also predict the structure of macromolecular complexes, according to a study carried out by Catalan researchers with the help of supercomputer MareNostrum. The results may help to know more about cancer-causing mutations.
The prestigious journal Molecular Systems Biology has published the first study to demonstrate the ability of computer programs commonly used to study the coupling between proteins to predict the complex structure macromoleculares.Los results open new possibilities for modeling protein complexes as steps prior to the interpretation of cancer-related mutations.
This research has been conducted by Mark Was and Gloria Fuentes, National Research Centre (CNIO), Carles Pons, Barcelona Supercomputing Center, Barcelona Supercomputing Center (BSC-CNS) and Florencio Pazos, National Center for Biotechnology (CNB-CSIC), under the direction of Prof. Alfonso Valencia, director of Structural Biology and Biocomputing at the CNIO.
“In this study we demonstrate for the first time the coupling prediction methods (docking) of proteins can be used to differentiate between proteins that interact and no. We observed that the distribution of values obtained by these methods is different in pairs of proteins that interact with respect to those obtained through a set of pairs non-interactive. This discovery was possible after running more than 100.000 MareNostrum supercomputer simulations, Carles Pons highlighted the BSC.
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