Computer Science
Computing algorithms, machine learning, artificial intelligence, quantum computing, complexity theory, computer graphics and visualization, and more.
45 listings
Submitted Dec 20, 2016 (Edited Dec 20, 2016) to Science Research Groups » Computer Science Microsoft has labs around the world, where researchers make breakthroughs on artificial intelligence, security, human-computer interaction, and more.
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Submitted Dec 20, 2016 to Science Research Groups » Computer Science PERICLES is a four-year Integrated Project (2013-2017) funded by the European Union under its Seventh Framework Programme (ICT Call 9).
The project aims to address the challenge of ensuring that digital content remains accessible in an environment that is subject to continual change. This can encompass not only technological change, but also changes in semantics, academic or professional practice, or society itself, which can affect the attitudes and interests of the various stakeholders that interact with the content. |
Submitted Dec 19, 2016 to Science Research Groups » Computer Science EPCC is a leading European centre of excellence in advanced research, technology transfer and the provision of high-performance computing services to academia and industry. Based at The University of Edinburgh, we are one of Europe's leading supercomputing centres.
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Submitted Dec 19, 2016 to Science Research Groups » Computer Science The Stanford Artificial Intelligence Laboratory (SAIL) has been a center of excellence for Artificial Intelligence research, teaching, theory, and practice since its founding in 1962.
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Submitted Dec 19, 2016 to Science Research Groups » Computer Science This page contains information about latest research on neural machine translation (NMT) at Stanford NLP group. We release our codebase which produces state-of-the-art results in various translation tasks such as English-German and English-Czech. In addtion, to encourage reproducibility and increase transparency, we release the preprocessed data that we used to train our models as well as our pretrained models that are readily usable with our codebase.
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Submitted Dec 08, 2016 to Science Research Groups » Computer Science The Database Group at Carnegie Mellon University is a leading research collective that focuses on database systems, data mining, and machine learning. We participate in a number of cross-disciplinary research efforts, and closely collaborate with other groups at CMU.
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Submitted Dec 07, 2016 to Science Research Groups » Computer Science The Computation Institute (CI) was established in 2000 as a joint initiative between The University of Chicago and Argonne National Laboratory to advance science through innovative computational approaches. Scholarship in the sciences, arts, and medicine depends increasingly on collection and analysis of large quantities of data and detailed numerical simulations of complex phenomena. Progress is gated by researchers’ ability to construct complex software systems, to harness large-scale computing, and to federate distributed resources.
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Submitted Dec 05, 2016 to Science Research Groups » Computer Science Welcome to the CALVIN research group homepage. We are part of the IPAB institute of the University of Edinburgh.
We research several topics related to learning in computer vision. Our current focus is on weakly supervised learning of object classes, semantic segmentation, and large-scale auto-annotation. |
Submitted Dec 05, 2016 to Science Research Groups » Computer Science The Media Laboratory vision of "enabling technology for learning and expression by people and machines" emphasizes technologies that improve the quality of life in the digital age, and that assist people in constructing their own tools for expression. The Lab advocates a process that includes both imagination and realization, criticism and reflection. Research at the Media Lab comprises interconnected developments in an unusual range of disciplines. Lab research is now exploring new frontiers, such as wireless, "viral" communications; wearable computing; machines capable of common-sense reasoning; new forms of artistic expression; and how children learn. These themes outline a future where the bits of the digital realm interact seamlessly with the atoms of our physical world, and where our machines not only respond to our commands, but also understand our emotionsa future where digital innovation becomes the domain of all.
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Submitted Dec 05, 2016 to Science Research Groups » Computer Science The Natural Language Processing Group at Stanford University is a team of faculty, postdocs, programmers and students who work together on algorithms that allow computers to process and understand human languages. Our work ranges from basic research in computational linguistics to key applications in human language technology, and covers areas such as sentence understanding, automatic question answering, machine translation, syntactic parsing and tagging, sentiment analysis, and models of text and visual scenes, as well as applications of natural language processing to the digital humanities and computational social sciences.
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Submitted Dec 05, 2016 to Science Research Groups » Computer Science The goal of the Morpho project is to develop unsupervised data-driven methods that discover the regularities behind word forming in natural languages. In particular, we are focussing on the discovery of morphemes, which are the primitive units of syntax, the smallest individually meaningful elements in the utterances of a language. Morphemes are important in automatic generation and recognition of a language, especially in languages in which words may have many different inflected forms.
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Submitted Dec 04, 2016 to Science Research Groups » Computer Science Research website for Tamara Munzner's information visualization lab at the University of British Columbia.
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Submitted Nov 30, 2016 to Science Research Groups » Computer Science The machine learning laboratory at the University of Montreal is led by seven professors, Prof. Yoshua Bengio, Prof. Aaron Courville, Prof. Pascal Vincent, Prof. Roland Memisevic, Prof. Christopher Pal, Prof. Laurent Charlin, and Prof. Simon Lacoste-Julien, all of whom are leading world experts in machine learning, especially in the rapidly growing field of deep learning.
Researchers from MILA have pioneered the field of deep learning and deep neural networks (both discriminative and generative) and their applications to vision, speech and language. MILA is world-renowned for many breakthroughs in developing novel deep learning algorithms and applying them to various domains. They include neural language modelling, neural machine translation, object recognition, structured output generative modelling and neural speech recognition. |
Submitted Nov 30, 2016 to Science Research Groups » Computer Science Since 1949, Sandia National Laboratories has developed science-based technologies that support our national security. Today, over 272 million Americans depend on Sandias technology solutions to solve national and global threats to peace and freedom. Through science and technology, people, infrastructure, and partnerships, Sandia's mission is to meet national needs in five key areas: Nuclear Weapons ensuring the stockpile is safe, secure, reliable, and can support the United States' deterrence policy. Nonproliferation and Assessments reducing the proliferation of weapons of mass destruction, the threat of nuclear accidents, and the potential for damage to the environment. Military Technologies and Applications addressing new threats to national security. Energy and Infrastructure Assurance enhancing the surety of energy and other critical infrastructures. Homeland Security helping to protect our nation against terrorism. Sandia is a government-owned/contractor operated (GOCO) facility. Lockheed Martin manages Sandia for the U.S. Department of Energy's National Nuclear Security Administration. We seek collaborative partnerships on emerging technologies that support our mission.
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Submitted Nov 29, 2016 to Science Research Groups » Computer Science The Cooperative Association for Internet Data Analysis (CAIDA) is a collaborative undertaking among organizations in the commercial, government, and research sectors aimed at promoting greater cooperation in the engineering and maintenance of a robust, scalable global Internet infrastructure. CAIDA provides a neutral framework to support cooperative technical endeavors.
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Submitted Nov 29, 2016 to Science Research Groups » Computer Science To help ensure that California maintain its leadership in the rapidly changing telecommunications and information technology marketplace, the University of California campuses at San Diego and Irvine have created the California Institute for Telecommunications and Information Technology (Cal-(IT), pronounced cal-eye-tee squared). Our institutes mission is simple: Extend the reach of the Internet throughout the physical world. Cal-(IT) teams UCSD and UCI faculty, students, and research professionals with leading California telecommunications, computer, software, and applications companies to conduct research on the scientific and technological components needed to bring this new Internet into being. Institute applications researchers are conducting their studies in living laboratories to investigate how this future Internet will accelerate advances in environmental science, civil infrastructure, intelligent transportation and telematics, genomic medicine, the new media arts, and educational practices.
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Submitted Nov 29, 2016 to Science Research Groups » Computer Science Build computer systems that regulate themselves much in the same way our autonomic nervous system regulates and protects our bodies. This new model of computing is called autonomic computing. The good news is that some components of this technology are already up and running. However, complete autonomic systems do not yet exist. This is not a proprietary solution. It's a radical change in the way businesses, academia, and even the government design, develop, manage and maintain computer systems. Autonomic computing calls for a whole new area of study and a whole new way of conducting business. We urge you to explore this site and download the full text of autonomic computing manifesto to learn more about autonomic computing and its implications for business and academia. We invite you to help launch the next era of computing.
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Submitted Nov 29, 2016 to Science Research Groups » Computer Science Research is one of the premier telecommunications laboratories in the world in terms of excellence in the frontiers of science, invention of new communications concepts and tools, and incubation of new services. It builds on over 80 years of leadership across all areas of communications and related fields, and continues to produce innovative technology that differentiates AT&Ts services and operations.
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Submitted Nov 29, 2016 to Science Research Groups » Computer Science The Army High Performance Computing Research Center was established by the Army in 1989. The mission of the Center is to conduct computational science research in areas of defense technology of importance to the Army and the Department of Defense. The Center promotes research collaborations in high performance computing between its partner institutions and with Army and DoD agencies. It also supports educational programs designed to encourage students to pursue careers in high performance computing. The research areas include Chemical-Biological Defense, Atmospheric Science, and Environmental Modeling; Computational Electromagnetics; Enabling Technology and Computational Algorithms; Projectile Target Interaction; Computational Nanosciences and Nanomechanics.
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Submitted Nov 29, 2016 to Science Research Groups » Computer Science As the innovation engine behind Lucent Technologies, Bell Labs designs products and services that are at the forefront of communications technology, and conducts fundamental research in fields important to communications. Guided by both experience and vision, Bell Labs is taking the lead in shaping tomorrow's broadband networks powered with service intelligence at every network layer. The technology needs of leading service providers now drive our R&D efforts. For example, we have increased our investment in R&D that will enable simpler, more "service-friendly" networks with more intelligence in every layer. Bell Labs R&D also includes optical network technologies, packet data solutions, circuit-to-packet network migrations, spread-spectrum wireless technologies, and network operation and management software. Past Bell Labs breakthroughs - like transistors, lasers and digital encryption - are the basis of today's communications industry. Bell Labs maintains a small, but prolific, long-term research program. That research explores such areas as the future of wireless and optical networking, the Internet, multimedia communications, physics and mathematics.
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