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  • Deep Learning Accelerates Scientific Simulations up to Two Billion Times

    Researchers from several physics and geology laboratories have developed Deep Emulator Network SEarch (DENSE), a technique for using deep-learning to perform scientific simulations from various fields from high-energy physics to climate science. Compared to previous simulators, the results from DENSE achieved speedups ranging from 10 million to 2 billion times.

  • Simulating Agile Strategies with the Lazy Stopping Model

    Simulation can be used to compare agile strategies and increase understanding of their strengths and weaknesses in different organisational and project contexts. The Lazy Stopping Model derived from the idea that we often fail to gather sufficient information to get an optimal result. Agile strategies can be simulated in the model as more or less effective defences against this “lazy stopping.”

  • AlphaGo: Google and DeepMind Publish Seminal AI Work

    A game simulation at Google's Deep Mind defeated expert humans at Go last month in a breakthrough for AI. Go is considered one of the great unsolved problems in AI.

  • NASA Develops Space Launch System Flight Software

    Developing launch vehicle flight software requires a big focus on embedded systems and quality attributes such as safety. To develop such mission-critical software systems, sophisticated test beds are necessary. According to a NASA press release from the 31st of May, the software test bed computers for the new Space Launch System (SLS) are now available.

  • OpenSim 2.4 - Open Source Software for Modeling & Simulating Movement

    OpenSim represents a freely available open source software system for modeling and simulation of movement. The system is provided by NCSSR (National Center for Simulation in Rehabilitation Research) which denotes a research department within Stanford University, California. The spectrum of possible application domains such as rehabilitation medicine, robotics, or games makes OpenSim interesting.

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