Authors: George Rajna
A new type of money that allows users to make decisions based on information arriving at different locations and times, and that could also protect against attacks from quantum computers, has been proposed by a researcher at the University of Cambridge.  Shortcomings of security breach notifications, best practices for phishing warnings and lessons learned from the use of analytics to improve student performance are among several studies University of Michigan researchers will present beginning this weekend in the United Kingdom.  But moral questions about what data should be collected and how it should be used are only the beginning.  A self-driving vehicle has to detect objects, track them over time, and predict where they will be in the future in order to plan a safe manoeuvre.  In order to improve world food conditions, a team around computer science professor Kristian Kersting was inspired by the technology behind Google News.  Small angle X-ray scattering (SAXS) is one of a number of biophysical techniques used for determining the structural characteristics of biomolecules.  A deep neural network running on an ordinary desktop computer is interpreting highly technical data related to national security as well as-and sometimes better than-today's best automated methods or even human experts.  Scientists at the National Center for Supercomputing Applications (NCSA), located at the University of Illinois at Urbana-Champaign, have pioneered the use of GPU-accelerated deep learning for rapid detection and characterization of gravitational waves.  Researchers from Queen Mary University of London have developed a mathematical model for the emergence of innovations.  Quantum computers can be made to utilize effects such as quantum coherence and entanglement to accelerate machine learning.  Neural networks learn how to carry out certain tasks by analyzing large amounts of data displayed to them. 
Comments: 43 Pages.
[v1] 2019-05-08 03:25:11
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