GraphLab | Large-Scale Machine Learning - 0 views
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On top of our platform we have developed new sophisticated statistical models and machine learning algorithms for a wide range of applications including product targeting, market segmentation, community detection, network security, text analysis, and computer vision. These models enable our customers extract more value from their data and better understand and respond to a rapidly evolving world.
PLOS Biology: An Introduction to Social Media for Scientists - 0 views
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"Regardless of the platform, social media interactions require two-way conversations (see Box 2). Joining one of the many preexisting scientific conversations can simultaneously disseminate your own content, expand your online network, and raise your professional visibility. An easy entry point is the ScienceOnline conglomerate (http://scienceonline.com), an enthusiastic group of science communicators ranging from tenured professors to freelance journalists "
Parallella - 0 views
Netflix and HBO Go- New additions in Amazon Fire TV's Search | Piktochart Infographic E... - 0 views
TED | Conversations | All Conversations - 0 views
Narrative Science | We Transform Data Into Stories and Insight - 0 views
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Artificial Intelligence. Human Insight. Real Results There is no shortage of data, in fact just about every company we talk to is drowning in data. As the volume of data continues to rise exponentially, companies need a better way to use, monetize and understand the data they already have. Narrative Science helps companies leverage their data by creating easy to use, consistent narrative reporting - automatically through our proprietary artificial intelligence technology platform.
Kaggle, we're making data science a sport - 0 views
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Kaggle is a platform for data prediction competitions that allows organizations to post their data and have it scrutinized by the world's best data scientists. In exchange for a prize, winning competitors provide the algorithms that beat all other methods of solving a data crunching problem. Most data problems can be framed as a competition.
OpenLink Software: - 0 views
CloudBioLinux - 0 views
CHB - 0 views
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Come work with us Interested in working with researchers from different disciplines within the Harvard, MIT and Broad community and an unique opportunity to participate in world-class research to make an impact on human health? Come work with us! We are looking for a computational biologists to handle data from a wide variety of experimental methods, focusing on next-gen sequencing technologies. Keep Reading... SCDE is live The Stem Cell Discovery Engine (SCDE) is an integrated platform that allows users to consistently describe, share and compare cancer and tissue stem cell data. It is made up of an online database of curated experiments coupled to a customized instance of the Galaxy analysis engine with tools for gene list manipulation and molecular profile comparisons. The SCDE currently contains more than 50 stem cell-related experiments. Each has been manually curated and encoded using the ISA-Tab standard to ensure the quality of the data and its annotation. Keep Reading... The Center for Health Bioinformatics at the Harvard School of Public Health provides consults to researchers for the management, integration and contextual analysis of biological high-throughput data. We are a member of the Center for Stem Cell Bioinformatics, the Environmental Statistics and Bioinformatics Core at the Harvard NIEHS Center for Environmental Health and the Genetics & Bioinformatics Consulting group for Harvard Catalyst and work closely with our colleagues in the Department of Biostatistics and the Program in Quantitative Genomics to act as a single point of contact for computational biology,
LOD2 - Creating Knowledge out of Interlinked Data - 0 views
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The Linked Data paradigm has therefore evolved from a practical research idea into a very promising candidate for addressing one of the biggest challenges in the area of intelligent information management: the exploitation of the Web as a platform for data and information integration in addition to document search. To translate this initial success into a world-scale disruptive reality, encompassing the Web 2.0 world and enterprise data alike, the following research challenges need to be addressed: improve coherence and quality of data published on the Web, ...
Welcome to Viewshare - 0 views
Berkeley Open Infrastructure for Network Computing - Wikipedia, the free encyclopedia - 0 views
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Berkeley Open Infrastructure for Network Computing (BOINC) is an open source middleware system for volunteer and grid computing. It was originally developed to support the SETI@home project before it became useful as a platform for other distributed applications in areas as diverse as mathematics, medicine, molecular biology, climatology, and astrophysics. The intent of BOINC is to make it possible for researchers to tap into the enormous processing power of personal computers around the world.
Constellation - 0 views
YaCy 'KIT-sn-head': About - 0 views
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Sciencenet - Towards a global search and share engine for all scientific knowledge. We have developed a prototype distributed scientific search engine technology, "Sciencenet", which facilitates rapid searching over this large data space. By "bringing the search engine to the data" we do not require server farms. This platform also allows users to contribute to the search index and publish their large scale data to support e-Science. Furthermore, a community-driven method guarantees that only scientific content is crawled and presented. Our peer-to-peer approach is sufficiently scalable for the science web without performance or capacity tradeoff.
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