by Social Media Directions on May 1, 2011 · 0 comments
Your APIs + Our Infrastructure = A True API Strategy
They have made us the leader in this industry, with the most customers, the most sought-after thinkers, and the most forward-looking products.
Andrei Ben-Amar Baranga
Department of Electrical Eng., Ben Gurion University and Physics Department, Nuclear Research Center -Negev
andreib@bgu.ac.il
The U.S. Army wants to allow soldiers to communicate just by thinking. (The new science of synthetic telepathy could soon make that happen.
by Adam Piore; illustration by Sam Kennedy
From the April 2011 issue; published online July 20, 2011
The "transcranial direct current stimulation" (tDCS) technology used in the current study is more than a century old and was once touted as a way to cure depression. It was nearly relegated to the ash-heap of forgotten, quackish medical fads. However, in recent years, it and other magnetic and electrical brain-stimulation techniques have drawn renewed interest, as tools in neuroscience experiments and as therapies. The tDCS technique is now used to enhance the recovery from a stroke, for example.
Incubaid have collectively started 14 companies, 5 of which have been acquired (www.incubaid.com/Successes). Incubaid's mission is to create a better cloud infrastructure through its Green Unbreakable Cloud Initiative.
April 15, 2011
Talk given by Giuseppe De Giacomo on October 5, 2010 at the University of Toronto.
Ontologies as conceptualizations of domains of interest, are, in principle, ideally suited for playing the role of conceptual views over data repositories. In order for this idea to become practical, it is fundamental that the conceptual layer through which the underlying data layer is accessed does not introduce a significant overhead in dealing with the data. In this talk I will present QuOnto and Mastro prototypes developed at SAPIENZA for ontology-based data access and integration, respectively. These systems are capable of sound and complete reasoning over description-logic ontologies that contain very large amount of instances, typically stored in external memory. Besides the usual reasoning services, such as ontology satisfiability, subsumption and instance checking, they fully support answering complex queries that involve unrestricted forms of joins and selections (i.e., union of conjunctive queries). Their effectiveness in dealing with large amount of instances is based on three main key points. i) They supports query answering (as well as usual reasoning services) in LOGSPACE wrt the size of the data (i.e., the ABox). This is the computational complexity of evaluating a SQL (i.e., relational algebra/first-order logic) query over a relational database. ii) They actually allow for delegating reasoning with data to relational database engines or data federation systems. iii) They capture the main constructs of ontology languages, including most constructs that are typical of conceptual models, such as UML Class Diagrams and the ER model.
Posted by: Stephen Wildstrom on March 09, 2009