Fundamentals of Cybernetics

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Perhaps one of the more useful metaphors to describe what is required is the “datapool,” a term I coined as a consultant for the new Ars Electronica Centre in Linz, Austria [see chapter 21 below]. This is not the place for the lazy student. The ACS Team task force handles didactic and research approaches for the following topics: interpreted programming languages in Python, Ruby and PHP multimedia and augmented reality programming in C/C++ - Intel Perceptual SDK/Intel OpenCV, ActionScript - Adobe Director/Flash, and Photoshop The ACS team task force supports and manages post graduate projects in field of IT&C and Cyber Security, such as: Advanced topics within Distributed & Parallel computing / High Throughput Computing (HTC) & High Performance Computing (HPC) using: Java EE, OpenCL, OpenMP, OpenMPI, Intel/GCC C++'11, Intel TBB, nVidia CUDA, Scala-AKKA, Apache Hadoop, Google App Engine - Cloud PaaS Java (Cloud Computing), Condor/ZeroC ICE (GRID Computing), Big Data (NoSQL DB and Map-Reduce framework - Apache Hadoop), IoT - Internet of Things - RFID/NFC tags and cards, Smart Objects - Raspberry PI and Arduino boards, Silos Gateways.

Pages: 350

Publisher: Chapman and Hall (November 25, 1971)

ISBN: 0412100703

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An Introduction to Cybernetics

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