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Topics: Radio Program, Pollution, Climate change, Aerodynamics, Retailing, Sustainable technologies,...

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Topics: Radio Program, Machine learning, Neural networks, Cybernetics, Member states of the Commonwealth of...

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Topics: Radio Program, Pollution, Climate change, Aerodynamics, Sustainable technologies, Environment,...

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Topics: Radio Program, Machine learning, Neural networks, Member states of the Commonwealth of Nations,...

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Topics: Radio Program, Machine learning, Neural networks, Member states of the Commonwealth of Nations,...

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01:00:00AM-06:00:00AM GMT — As BBC Radio 5 live 02/02/2020 BBC Radio Stoke joins BBC Radio 5 live.

Topics: Radio Program, Pollution, Climate change, Aerodynamics, Sustainable technologies, Environment,...

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01:00:00AM-06:00:00AM GMT — As BBC Radio 5 live 23/02/2020 BBC Radio Stoke joins BBC Radio 5 live.

Topics: Radio Program, Cybernetics, Artificial intelligence, Machine learning, Learning, Clinical research,...

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Topics: Radio Program, Machine learning, Neural networks, Member states of the Commonwealth of Nations,...

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1 online resource (xiv, 433 pages) :

Topics: Life Sciences, GTP-Binding Proteins -- physiology, Cell Biology, Nervous System Diseases --...

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7.0

Jun 30, 2018
06/18

by
Fabrizio Antenucci; Andrea Crisanti; Luca Leuzzi

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The Ising and BEG models critical behavior is analyzed in 2D and 3D by means of a renormalization group scheme on small clusters made of a few lattice cells. Different kinds of cells are proposed for both ordered and disordered model cases. In particular, cells preserving a possible antiferromagnetic ordering under decimation allow for the determination of the N\'eel critical point and its scaling indices. These also provide more reliable estimates of the Curie fixed point than those obtained...

Topics: Disordered Systems and Neural Networks, Statistical Mechanics, Condensed Matter

Source: http://arxiv.org/abs/1402.5820

Topics: Radio Program, Neural networks, Monument types, Stars, National security, Political terminology,...

Topics: Radio Program, English-language writers, American political pundits, American political writers,...

Topics: Radio Program, Chief executive officers, American voice actors, Former Roman Catholics, American...

Topics: Radio Program, Insurance, Neural networks, American talk radio hosts, Information, knowledge, and...

Topics: Radio Program, Chief executive officers, American political writers, Neural networks, American...

Topics: Radio Program, Computational neuroscience, BBC World Service, Formal sciences, Cybernetics, Neural...

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Topics: Radio Program, Computational neuroscience, Medical emergencies, Neural networks, Neurophysiology,...

Topics: Radio Program, Neural networks, Presidential Medal of Freedom recipients, Rockefeller family, Folk...

Topics: Radio Program, Divided regions, Republics, East Asian countries, Fuzzy logic, Artificial...

Topics: Radio Program, Food ingredients, Hiking, Mountaineering, Neural networks, Health, Political...

3
3.0

Jun 29, 2018
06/18

by
Stefan Kettemann

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We consider the orthogonality catastrophe at the Anderson Metal-Insulator transition (AMIT). The typical overlap $F$ between the ground state of a Fermi liquid and the one of the same system with an added potential impurity is found to decay at the AMIT exponentially with system size $L$ as $F \sim \exp (- \langle I_A\rangle /2)= \exp(-c L^{\eta})$, where $I_A$ is the so called Anderson integral, $\eta $ is the power of multifractal intensity correlations and $\langle ... \rangle$ denotes the...

Topics: Disordered Systems and Neural Networks, Condensed Matter

Source: http://arxiv.org/abs/1606.02243

Topics: Radio Program, Neural networks, Oxides, Macroeconomics, Abuse, Neuropsychology, Children's...

Topics: Radio Program, Emerging technologies, American magazines, Winds, Monthly magazines, Weather,...

Topics: Radio Program, Divided regions, East Asian countries, Republics, Fuzzy logic, Artificial...

Topics: Radio Program, Computational linguistics, Machine translation, Cybernetics, Political terminology,...

Topics: Radio Program, Artificial intelligence, Cybernetics, Formal sciences, Learning, American male...

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Topics: Radio Program, Public services, Health, American political pundits, American political writers,...

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1.0

Feb 23, 2021
02/21

by
Changelog Master Feed

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At this year's Government & Public Sector R Conference (or R|Gov) our very own Daniel Whitenack moderated a panel on how AI practitioners can engage with governments on AI for good projects. That discussion is being republished in this episode for all our listeners to enjoy! The panelists were Danya Murali from Arcadia Power and Emily Martinez from the NYC Department of Health and Mental Hygiene. Danya and Emily gave some great perspectives on sources of government data, ethical uses of...

Topics: Podcast, changelog, open source, oss, software, development, developer, hackerchangelog, ai,...

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Topics: Radio Program, Commanders of the Order of the British Empire, Island Records artists, English...

5
5.0

Jun 29, 2018
06/18

by
Ilya Gruzberg; Andreas Kluemper; Win Nuding; Ara Sedrakyan

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Recent high-precision results for the critical exponent of the localization length at the integer quantum Hall (IQH) transition differ considerably between experimental ($\nu_\text{exp} \approx 2.38$) and numerical ($\nu_\text{CC} \approx 2.6$) values obtained in simulations of the Chalker-Coddington (CC) network model. We revisit the arguments leading to the CC model and consider a more general network with geometric (structural) disorder. Numerical simulations of this new model lead to the...

Topics: Disordered Systems and Neural Networks, Mesoscale and Nanoscale Physics, High Energy Physics -...

Source: http://arxiv.org/abs/1604.06844

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4.0

Jun 30, 2018
06/18

by
Ilia Zintchenko; Matthew B. Hastings; Matthias Troyer

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We consider whether it is possible to find ground states of frustrated spin systems by solving them locally. Using spin glass physics and Imry-Ma arguments in addition to numerical benchmarks we quantify the power of such local solution methods and show that for the average low-dimensional spin glass problem outside the spin- glass phase the exact ground state can be found in polynomial time. In the second part we present a heuristic, general-purpose hierarchical approach which for spin glasses...

Topics: Quantum Physics, Disordered Systems and Neural Networks, Condensed Matter

Source: http://arxiv.org/abs/1408.1901

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Jun 26, 2018
06/18

by
P. E. Theodorakis; N. G. Fytas

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We enlighten some critical aspects of the three-dimensional ($d=3$) random-field Ising model from simulations performed at zero temperature. We consider two different, in terms of the field distribution, versions of model, namely a Gaussian random-field Ising model and an equal-weight trimodal random-field Ising model. By implementing a computational approach that maps the ground-state of the system to the maximum-flow optimization problem of a network, we employ the most up-to-date version of...

Topics: Condensed Matter, Disordered Systems and Neural Networks

Source: http://arxiv.org/abs/1501.02338

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5.0

Jun 29, 2018
06/18

by
I. A. Ado; O. A. Tretiakov; M. Titov

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We formulate a general microscopic approach to spin-orbit torques in thin ferromagnet/heavy-metal bilayers in linear response to electric current or electric field. The microscopic theory we develop avoids the notion of spin currents and spin-Hall effect. Instead, the torques are directly related to a local spin polarization of conduction electrons, which is computed from generalized Kubo-St\v{r}eda formulas. A symmetry analysis provides a one-to-one correspondence between polarization...

Topics: Mesoscale and Nanoscale Physics, Disordered Systems and Neural Networks, Condensed Matter

Source: http://arxiv.org/abs/1603.07994

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Jun 30, 2018
06/18

by
Marcelo Leite Lyra; Svitlana Mayboroda; Marcel Filoche

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The localization subregions of stationary waves in continuous disordered media have been recently demonstrated to be governed by a hidden landscape that is the solution of a Dirichlet problem expressed with the wave operator. In this theory, the strength of Anderson localization confinement is determined by this landscape, and continuously decreases as the energy increases. However, this picture has to be changed in discrete lattices in which the eigenmodes close to the edge of the first...

Topics: Mathematics, Mathematical Physics, Disordered Systems and Neural Networks, Condensed Matter

Source: http://arxiv.org/abs/1410.2229

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2.0

Jun 30, 2018
06/18

by
Ginestra Bianconi; Sergey N. Dorogovtsev; José F. F. Mendes

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We describe the emergence of the giant mutually connected component in networks of networks in which each node has a single replica node in any layer and can be interdependent only on its replica nodes in the interdependent layers. We prove that if in these networks, all the nodes of one network (layer) are interdependent on the nodes of the same other interconnected layer, then, remarkably, the mutually connected component does not depend on the topology of the network of networks. This...

Topics: Physics, Disordered Systems and Neural Networks, Physics and Society, Computing Research...

Source: http://arxiv.org/abs/1402.0215

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2.0

Jun 30, 2018
06/18

by
Hiroki Ohta; Namiko Mitarai

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A simple model of cyclically competing species on a directed graph with quenched disorder is proposed as an extension of the rock-paper-scissors model. By assuming that the effects of loops in a directed random graph can be ignored in the thermodynamic limit, it is proved for any finite disorder that the system fixates to a frozen configuration when the species number $s$ is larger than the spatial connectivity $c$, and otherwise stays active. Nontrivial lower and upper bounds for the...

Topics: Disordered Systems and Neural Networks, Statistical Mechanics, Condensed Matter

Source: http://arxiv.org/abs/1402.6624

Topics: Radio Program, Investment, Central nervous system, Macroeconomics, Neural networks, Foreign direct...

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3.0

Jun 30, 2018
06/18

by
T. Shirakura; F. Matsubara; N. Suzuki

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The spin structure of an axial next-nearest-neighbor Ising (ANNNI) model in two dimensions (2D) is a renewed problem because different Monte Carlo (MC) simulation methods predicted different spin orderings. The usual equilibrium simulation predicts the occurrence of a floating incommensurate (IC) Kosterlitz-Thouless (KT) type phase, which never emerges in non-equilibrium relaxation (NER) simulations. In this paper, we first examine previously published results of both methods, and then...

Topics: Statistical Mechanics, Disordered Systems and Neural Networks, Condensed Matter

Source: http://arxiv.org/abs/1406.6464

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2.0

Jun 30, 2018
06/18

by
Ahmed K. Ibrahim; Hatem Barghathi; Thomas Vojta

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We investigate the nonequilibrium phase transition in the disordered contact process in the presence of long-range spatial disorder correlations. These correlations greatly increase the probability for finding rare regions that are locally in the active phase while the bulk system is still in the inactive phase. Specifically, if the correlations decay as a power of the distance, the rare region probability is a stretched exponential of the rare region size rather than a simple exponential as is...

Topics: Disordered Systems and Neural Networks, Statistical Mechanics, Condensed Matter

Source: http://arxiv.org/abs/1407.5084

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4.0

Jun 30, 2018
06/18

by
Marie Piraud; Laurent Sanchez-Palencia; Bart Van Tiggelen

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Using a cutoff-free formulation of the coherent transport theory, we show that the interference terms at the origin of localization strongly affect the transport anisotropy. In contrast to the common hypothesis, we then find that the anisotropies of incoherent and coherent diffusion are significantly different, in particular at criticality. There, we show that the coherent transport anisotropy is mainly determined by the properties of the disorder-averaged effective scattering medium while the...

Topics: Disordered Systems and Neural Networks, Condensed Matter

Source: http://arxiv.org/abs/1408.6387

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2.0

Jun 30, 2018
06/18

by
Arvind Murugan; Zorana Zeravcic; Michael P. Brenner; Stanislas Leibler

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Self-assembly materials are traditionally designed so that molecular or meso-scale components form a single kind of large structure. Here, we propose a scheme to create "multifarious assembly mixtures", which self-assemble many different large structures from a set of shared components. We show that the number of multifarious structures stored in the solution of components increases rapidly with the number of different types of components. Yet, each stored structure can be retrieved...

Topics: Statistical Mechanics, Soft Condensed Matter, Disordered Systems and Neural Networks, Condensed...

Source: http://arxiv.org/abs/1408.6893

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2.0

Jun 30, 2018
06/18

by
Cecile Monthus

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For the quantum Ising chain, the self-dual block renormalization procedure of Fernandez-Pacheco [Phys. Rev. D 19, 3173 (1979)] is known to reproduce exactly the location of the zero-temperature critical point and the correlation length exponent $\nu=1$. Recently, Miyazaki and Nishimori [Phys. Rev. E 87, 032154 (2013)] have proposed to study the disordered quantum Ising model in dimensions $d>1$ by applying the Fernandez-Pacheco procedure successively in each direction. To avoid the...

Topics: Disordered Systems and Neural Networks, Condensed Matter

Source: http://arxiv.org/abs/1409.8459

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3.0

Jun 30, 2018
06/18

by
Rodrigo Echeveste; Claudius Gros

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Generating functionals may guide the evolution of a dynamical system and constitute a possible route for handling the complexity of neural networks as relevant for computational intelligence. We propose and explore a new objective function, which allows to obtain plasticity rules for the afferent synaptic weights. The adaption rules are Hebbian, self-limiting, and result from the minimization of the Fisher information with respect to the synaptic flux. We perform a series of simulations...

Topics: Neural and Evolutionary Computing, Quantitative Biology, Disordered Systems and Neural Networks,...

Source: http://arxiv.org/abs/1410.0507

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2.0

Jun 30, 2018
06/18

by
Y. G. Pogorelov; M. C. Santos; V. M. Loktev

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Formation of localized impurity levels within the band gap in bigraphene under applied electric field is considered and the conditions for their collectivization at finite impurity concentration are established. It is shown that a qualitative restructuring of quasiparticle spectrum within the initial band gap and then specific metal-insulator phase transitions are possible for such disordered system and can be effectively controlled by variation of the electric field bias at given impurity...

Topics: Mesoscale and Nanoscale Physics, Disordered Systems and Neural Networks, Condensed Matter

Source: http://arxiv.org/abs/1410.1721

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2.0

Jun 30, 2018
06/18

by
Alaa Saade; Florent Krzakala; Lenka Zdeborová

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The non-backtracking operator was recently shown to provide a significant improvement when used for spectral clustering of sparse networks. In this paper we analyze its spectral density on large random sparse graphs using a mapping to the correlation functions of a certain interacting quantum disordered system on the graph. On sparse, tree-like graphs, this can be solved efficiently by the cavity method and a belief propagation algorithm. We show that there exists a paramagnetic phase, leading...

Topics: Statistical Mechanics, Social and Information Networks, Computing Research Repository, Disordered...

Source: http://arxiv.org/abs/1404.7787

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3.0

Jun 30, 2018
06/18

by
Zhou Shi; Azriel Genack

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Transmission eigenchannels and quasi-normal modes are powerful bases for describing wave transport and controlling transmission and energy storage in disordered media. Here we elucidate the connection between these approaches by expressing the transmission matrix (TM) at a particular frequency as a sum of TMs for individual modes drawn from a broad spectral range. The wide range of transmission eigenvalues and correlation frequencies of eigenchannels of transmission is explained by the...

Topics: Mesoscale and Nanoscale Physics, Disordered Systems and Neural Networks, Condensed Matter

Source: http://arxiv.org/abs/1406.3673

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2.0

Jun 30, 2018
06/18

by
Andre Manoel; Florent Krzakala; Eric W. Tramel; Lenka Zdeborová

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Approximate Message Passing (AMP) has been shown to be a superior method for inference problems, such as the recovery of signals from sets of noisy, lower-dimensionality measurements, both in terms of reconstruction accuracy and in computational efficiency. However, AMP suffers from serious convergence issues in contexts that do not exactly match its assumptions. We propose a new approach to stabilizing AMP in these contexts by applying AMP updates to individual coefficients rather than in...

Topics: Physics, Data Analysis, Statistics and Probability, Statistics, Disordered Systems and Neural...

Source: http://arxiv.org/abs/1406.4311

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2.0

Jun 30, 2018
06/18

by
F. Bohn; M. A. Corrêa; M. Carara; S. Papanikolaou; G. Durin; R. L. Sommer

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We investigate the statistical properties of the Barkhausen noise in amorphous ferromagnetic films with thicknesses in the range between $100$ and $1000$ nm. From Barkhausen noise time series measured with the traditional inductive technique, we perform a wide statistical analysis and establish the scaling exponents $\tau$, $\alpha$, $1/\sigma \nu z$, and $\vartheta$. We also focus on the average shape of the avalanches, which gives further indications on the domain wall dynamics. Based on...

Topics: Statistical Mechanics, Disordered Systems and Neural Networks, Condensed Matter

Source: http://arxiv.org/abs/1407.0396

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3.0

Jun 30, 2018
06/18

by
Ciaran Hughes; Dhagash Mehta; David J Wales

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Sampling the stationary points of a complicated potential energy landscape is a challenging problem. Here we introduce a sampling method based on relaxation from stationary points of the highest index of the Hessian matrix. We illustrate how this approach can find all the stationary points for potentials or Hamiltonians bounded from above, which includes a large class of important spin models, and we show that it is far more efficient than previous methods. For potentials unbounded from above,...

Topics: Physics, High Energy Physics - Theory, Disordered Systems and Neural Networks, Statistical...

Source: http://arxiv.org/abs/1407.5997

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2.0

Jun 30, 2018
06/18

by
B. -H. Moon; L. W. Engel; D. C. Tsui; L. N. Pfeiffer; K. W. West

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We report measurements of microwave spectra of two-dimensional electron systems hosted in dilute Al alloy, Al$_x$Ga$_{1-x}$As, for a range of Landau level fillings, $\nu$, around 1. For $\nu>0.8$ or $\nu

Topics: Mesoscale and Nanoscale Physics, Disordered Systems and Neural Networks, Condensed Matter

Source: http://arxiv.org/abs/1412.0689