• NVIDIA TensorRT 3 Dramatically Accelerates AI Inference for Hyperscale Data Centers

    The combination of TensorRT 3 with NVIDIA GPUs delivers ultra-fast and efficient inferencing across all frameworks for AI-enabled services — such as image and speech recognition, natural language processing, visual search and personalized recommendations. TensorRT and NVIDIA Tesla® GPU accelerators are up to 40 times faster than CPUs(1) at one-tenth the cost...

  • Design and Implementation of a Training Course on Big Data Use in Water Management

    1. Introduction Advances in computational technologies have enabled the unprecedented exploitation of Big Data in multiple domains, including geosciences and global environmental change. The characteristics of Big Data along with specific demands for its acquisition, management, processing, and analysis require innovative e-infrastructure and new methodologies (Fan and Bifet, 2012; Chen et al.,...

  • SLAM: Bringing art to life through technology

    SLAM: Bringing art to life through technology SLAM: Bringing art to life through technology

  • Using social media data to help measure smoke exposure – Facebook Research

    When natural disasters strike, people turn to Facebook to understand what’s happening and to share important safety information. The same applies to wildfires, where people often discuss the locations of fires and where they see smoke and haze. Nearly 50,000 wildfires have already burned this year. Particles emitted from wildfires can travel...

  • A Semantic Cross-Species Derived Data Management Application

    Avishai-Eliner, S, Brunson, K L, Sandman, C A and Baram, T Z (2002). Stressed-out, or in (utero)?. Trends in neurosciences 25(10): 518–524, DOI: https://doi.org/10.1016/S0166-2236(02)02241-5  Bakker, R, Tiesinga, P and Kötter, R (2015). The Scalable Brain Atlas: Instant Web-Based Access to Public Brain Atlases and Related Content. Neuroinformatics 13(3): 353–366, DOI: https://doi.org/10.1007/s12021-014-9258-x  Baram, T Z, Davis, E P, Obenaus,...

  • Smoking out data solutions – News

    Chiminey: A user-friendly platform that helps scientists process vast quantities of data As information technology advances at pace, scientists have more opportunities to study new phenomena and discover new natural laws. To fully seize such opportunities, however, they must grasp what these new technologies can do and how research can exploit them....

  • Understanding Perspectives on Sharing Neutron Data at Oak Ridge National Laboratory

    Akers, K G and Doty, J (2013). Disciplinary differences in faculty research data management practices and perspectives. The International Journal of Digital Curation 8(2): 5–26, DOI: https://doi.org/10.2218/ijdc.v8i2.263  Borgman, C (2012). The conundrum of sharing research data. Journal of the Association for Information Science and Technology 63(6): 1059–1078, DOI: https://doi.org/10.1002/asi.22634  Borgman, C (2015). Big Data, Little Data, No Data: Scholarship...

  • Connected Frameworks, Research Data and Lessons Learned from a National Research Library Perspective

    Introduction Academic libraries are experts at identifying, selecting, organizing, describing, preserving, and providing access to information materials, print and digital resources. They have been a safe harbour for research publications of all disciplines since centuries. As a cornerstone of the academic institution, libraries have a demonstrated and sustainable approach for providing services...

  • Crystallography and Databases

    Adams, P D, Aertgeerts, K, Bauer, C, Bell, J A, Berman, H M, Bhat, T N, Blaney, J M, Bolton, E, Bricogne, G, Brown, D, Burley, S K, Case, D A, Clark, K L, Darden, T, Emsley, P, Feher, V A, Feng, Z, Groom, C R, Harris, S F, Hendle, J, Holder,...

  • Persistence Statements: Describing Digital Stickiness

    Introduction While persistence of cited objects is typically desirable (Ball 2010), it is not clear what persistence really means. It is not in and of itself helpful for an object to have a so-called persistent identifier (PID). Of course the object must be extant when we next need it, but its persistence...