Blog
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Detection and replenishment of missing data in marked point processes
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Point processes offer a convenient mathematical representation of earthquakes, volcanic eruptions, crimes and many other processes which occur at random times and locations. The data available in these fields has exploded with modern recording technology, and yet many data sets suffer from […]
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Can Signal Delay Be Functional? Including Delay In Evolved Robot Controllers
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Signals travel at finite speeds within the nerves of living organisms, between satellites and the Earth, or in computers and other technological devices. As a result, they incur delays in moving from one point to another, which engineers, roboticists, control-theorists and neuroscientists […]
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Anomalous Diffusion in Random Dynamical Systems
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Brownian motion has long been the standard paradigm for modelling random, diffusive motion, such as the haphazard movement of a dust particle floating in a fluid. This is considered to be “normal” diffusion, in which the mean square particle displacement – calculated […]
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Mark Kirstein becomes a DAAD PRIME Fellow
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LML Fellow Mark Kirstein has received a PRIME fellowship from DAAD (the German Academic Exchange Service). This will support a 12-month research visit to the London Mathematical Laboratory, followed by a postdoctoral position at Leipzig University for 6 months. Mark will use […]
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Toward understanding the impact of artificial intelligence on labour
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Economists and policy makers worry that the rapid advance of artificial intelligence (AI) and automation technologies could seriously disrupt labour markets.
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Noisy network attractor models for transitions between EEG microstates
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Electroencephalography (EEG) provides a direct measure of neuronal activity as reflected in the scalp electrical field. Empirically, global measures of EEG topography remain stable in so-called EEG microstates for brief periods (50–100 ms) before switching to another quasi-stable state.
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Limits to machine prediction, the psychology of Brexit fantasies and how biology exploits phase transitions – a few recent essays
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Here are links to a few recent articles by LML Fellow Mark Buchanan.
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Normal and Anomalous Diffusion in Soft Lorentz Gases
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Engineered nanoscale structures known as artificial graphene exhibit the properties of real graphene but in a setup where it is easy to tune features such as the electronic density, lattice constant, geometry or coupling with the environment.
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On reversals in 2D turbulent Rayleigh-Bénard convection: Insights from embedding theory and comparison with proper orthogonal decomposition analysis
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In the 1980s, most researchers approached empirical analysis of low-dimensional dynamical systems through the famous Takens embedding theorem, which guarantees that the attractor of any dynamical system can be reconstructed from samples of the values of key variables.
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The LML has hired External Fellow Erica Thompson as Principal Investigator of Inference from Models
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Erica’s research focusses on subtle issues affecting the use of mathematical models and simulations in aid of real-world decision making. In her own words,