"Digital Library Development: Leveraging the Context and the Content," Tufts University, Medford, MA, 15 November 1999.
This talk will discuss how static information flow analysis can be used to design a computing system with comprehensive and verifiable information flow assurance, and how such a system may be leveraged in the context of a self-driving car to protect safety-critical functions.
While a penetration test may involve use of automated tools and process frameworks, the focus is ultimately on the individual or team of testers, the experience they bring to the test, and the skills and wherewithal they leverage in the context of an active attack on your organization.
While this paradigm has been widely used for (sometimes illegal) file sharing applications, the scalability of P2P systems has been leveraged in the context of many other applications such as streaming, content delivery networks, broadcast, storage systems, and publish-subscribe systems, just to name a few areas of application.
Our findings demonstrate the advantages of leveraging the local context to construct teaching aids and supports viewing learning as the creation and enactment of situated practices.
Unlike existing neural models such as recurrent or convolutional neural network, this approach leverages the importance of context words in an explicit way.
We examine the ability of different international institutional designs to leverage private capital in the context of the Kyoto Protocol's Clean Development Mechanism (CDM).
The impact of linkage and leverage are examined in the context of postCold War hybrid or competitive authoritarian regimes.
As a result, any approach to leveraging Biomedical Informatics in the context of a complex environment presented by the practice of personalized healthcare, must involve an optimal combination of both human and computational workflows.
There exists a tremendous opportunity to leverage these approaches in the context of translational safety, particularly for cardiovascular endpoints where a deep understanding of anatomy and physiology exists across species, along with quantitative high-resolution time-course data from in silico, in vitro, preclinical, and clinical cardiovascular assays.
