Recent Additions: New and Updated Entries in the Past 60 Days
Displaying entries 1 through 15 of 120 found.
The Genesis Vision > Historic Precedents
Bennett, Michael and Tano Posterato, eds.
Deleuze and Evolutionary Theory.
Edinburgh: Edinburgh University Press,
We cite this edition about the thought and work of the French scholar Gilles Deleuze (1925-1995) because while he was included with postmodern schools, as these chapters and other works (search GD) show, he was more immersed in meaningful, metaphysic, organic vistas akin to Henri Bergson. His writings viewed life’s course as an unfolding, ordained emergence, a “self-activating symbiogenesis,” and whole Earth as quite egg-like in kind.
The Genesis Vision > Current Vistas
Until the End of Time: Mind, Matter, and Our Search for Meaning in an Evolving Universe.
New York: Knopf,
This is the latest science bestseller by the Columbia University physicist, which as the final paragraph below cites, continues to drain and deny any and all modicum of purpose and hope – get used to it, there isn’t any. We also note 21 Lessons for the 21st Century by historian Yuval Harari (2019) which doubles down that there is no story or meaning. We add that a February 10 review by Philip Ball in Nature strongly criticized the book for this unmerited conclusion.
As we hurtle toward a cold and barren cosmos, we must accept that there is no grand design. Particles are not endowed with purpose. There is no final answer hovering in the depths of space awaiting discovery. Instead, certain special collections of particles can think and feel and reflect, and within these subjective worlds they can create purpose. (325)
The Genesis Vision > Current Vistas
Beauty in Artistic Expressions through the Eyes of Networks and Physics.
Journal of the Royal Society Interface.
The University of Maribor, Slovenia complexity theorist has become a leading expositor in Europe and beyond through a steady flow of papers (search) about physical, biologic to social areas. Here he applies the latest findings, as the abstract notes, to cultural phases to show how each in turn can be modeled by the same dynamic mathematics. So to say in 2020, a grand implication presents itself via an integral survey from statistical physics to literary corpora. As illustrated by flavour tastes, artistic styles, musical modes, how children learn, and more, it is evident that an iconic universality of particle/wave, node/link, DNA/AND, me/We, yin/yang complements in a whole system triality has been verified. This entry well conveys a revolutionary discovery in our midst of a participatory universe to wuman epitome genesis co-creation.
Beauty is subjective, it cannot be defined in absolute terms. But we all know or feel when something is beautiful to us. And in such instances, methods of statistical physics and network science can be used to quantify and better understand what evokes that pleasant experience. From the complexity and entropy of art paintings to an array of food flavors, research at the interface of art, physics and network science abounds. We review the existing literature, focusing on culinary, visual, musical and literary arts. We also touch upon cultural history and culturomics, as well as connections between physics and social sciences in general. We find that synergies between these fields yield entertaining results that can often be enjoyed by layman and experts alike. (Abstract excerpt)
A Learning Planet > Original Wisdom > Rosetta Cosmos
Bost, Xavier and Vincent Labatut.
Extraction and Analysis of Fictional Character Networks.
ACM Computing Surveys.
In a paper also at arXiv:1907.02704, Laboratoire Informatique d’Avignon analysts find that the latest network topologies can be readily adapted to literary works with persons as nodes and their interrelations as connective links. See also Gendered Networks and Communicability in Medieval Historical Narratives by Sandra Prado, et al at 2002.01396 and Character Networks and Book Genre Classification by A. J. Holanda, et al at 1704.08197. We then note that an overall webwork depiction takes on a generic, universal format, akin to brains, genomes, quantome and everywhere else. So may we gain another late insight, as tradition knew long ago, that this existence is deeply textual in essence, which we valiant beings are meant to learn to read and avail its salutary edification.
A character network is a graph extracted from a narrative, in which vertices represent characters and edges correspond to interactions between them. This survey aims at presenting and organizing the scientific literature related to their extraction from works of fiction. We describe the extraction process in a generic way, and explain how its steps are implemented depending on the medium of the narrative, and several other factors. We review descriptive tools used to analyze character networks, with a focus on how they are interpreted in this context. Finally, we identify limits of the existing approaches, and offer new perspectives. (Abstract excerpt)
A Learning Planet > Original Wisdom > World Philosophy
Grayling, A. C..
The History of Philosophy.
New York: Penguin,
The Oxford University prolific polyscholar achieves a 600 page treatise in five parts: Ancient, Medieval and Renaissance, Modern, Twentieth Century, and Indian, Chinese, Arabic-Persian and African Philosophy. A good read with pithy erudition on each page, but we make note for another reason. As one views these sections, and the long index, every name cited back to Greece is male, about 1,000 in all. Two women I found were Hannah Arendt and Simone de Beauvior, with feminist thought meriting only 3 pages. This fact that homo to Anthropo scholarship or its semblance has been wildly skewed to men only must be implicated in their inability to gain any essential knowledge over the centuries. In order to cover, it is decided that there is nothing to be enlightened about (Steven Pinker). The verdict today from Brian Greene, Yuval Harari and others, with William James and Bertrand Russell before, is a categorical denial of any extant, sensible reality.
A Learning Planet > The Spiral of Science
Kasim, Muhammad, et al.
Up to Two Billion Times Acceleration of Scientific Simulations with Deep Neural Architecture Search.
Thirteen scientists from Oxford, Yale and Seville including Duncan Watson-Parris have come up with a method to dramatically speed up, facilitate and advance data-intensive studies from cosmic to genomic to atomic fields. The computational technique is called Deep Emulator Network Search (DENSE) which works better and faster than those designed and trained by hand. See also AI Shortcuts Speed Up Simulations by Matthew Hutson in Science (367/728, 2020) for a review.
Computer simulations are invaluable tools for scientific discovery. However, accurate simulations are often slow to execute, which limits their applicability. Here we describe a way to build accurate emulators even with a limited number of training data. The method greatly accelerates simulations in 10 scientific cases including astrophysics, climate science, biogeochemistry, high energy density physics, fusion energy, and seismology, using the same super-architecture, algorithm, and hyperparameters. We anticipate this work will aid researchers involved with large simulations, allow extensive parameters exploration, and enable new, previously unfeasible computational discovery. (Abstract excerpt)
A Learning Planet > The Spiral of Science
New Wrinkle Added to Cosmology’s Hubble Crisis.
A news report on a current. hotly disputed, split over two ways to calibrate, quantify and interpret the rate of cosmic expansion. One camp led by Nobel laureate Adam Reiss (Johns Hopkins) uses pulsating stars called cepheids as their standard candle. The other view by Wendy Freeman and Barry Madore (University of Chicago) relies on the dusty Large Magellanic Cloud. For entry technical papers see The Megamaser Cosmology Project at 2001.09213 (AR) and Calibration of the Red Giant Branch at 2002.01550 (WF & BM). A popular discussion is The Cosmic Crisis by Richard Panek in Scientific American (March 2020).
A Learning Planet > The Spiral of Science > deep
Bausch, Johannes and Felix Leditsky.
Quantum Codes from Neural Networks.
New Journal of Physics.
We cite this paper by Cambridge University and University of Colorado computational physicists as a gppd instance of how readily cerebral architectures can be effectively applied acrpss far-removed domains. These common transfers open another window upon a universal, iconic bipartite (node/link) and triune (whole brain, genome, etc.) nature.
We examine the usefulness of applying neural networks as a variational state ansatz (approach) for many-body quantum systems for quantum information-processing tasks. In the neural network state, the complex amplitude function of a quantum state is computed. The resulting multipartite entanglement structure can describe the unitary dynamics of physical systems of interest. Here we show that neural networks can efficiently represent quantum codes for information transmission. Our main points are: a) Neural networks yield quantum codes with high coherent information for two important quantum channels, b) For the depolarizing channel, they find the best repetition codes and, c) Neural networks cam represent a special type of quantum error-correcting codes. (Abstract excerpt)
Animate Cosmos > Quantum Cosmology
Mastichiadis, Apostolos, et al.
A Roadmap to Hadronic Supercriticalities.
A Roadmap to Hadronic Supercriticalities. arXiv:2003.06956. We cite this entry by National University of Athens astrophysicists for itself and for wider implications. When this site went online in the early 2000s there was little if any notice of such complexities across the celestial raiment. Today it is readily accepted that nonlinear phenomena like critical phase transitions occur in this widest realm, just as everywhere else. Once again a natural universality is found which well implies an independent, mathematical source. A philoSophia glimpse would be how grand it is that collaborative persons from this ancient land are now able to travel to and quantify this cosmic breadth and depth.
Hadronic supercriticalities are radiative instabilities that appear when large amounts of energy are stored in relativistic protons. When the proton energy density exceeds some critical value, a runaway process is initiated resulting in the explosive transfer of the proton energy into electron-positron pairs and radiation and the increase of the photon-to-proton efficiency. We show that supercriticalities are possible for the whole range of source parameters related to compact astrophysical sources. We also provide an in-depth look at the physical mechanisms of hadronic supercriticalities and show that magnetized relativistic plasmas are excellent examples of non-linear dynamical systems. (Abstract)
Animate Cosmos > Quantum Cosmology > cosmos
The basic premise of a hadronic scenario as applied to the compact high-energy emitting region(s) of an astrophysical source can be summarised as follows. The model assumes the presence of a relativistic proton population that interacts with its environment in two main ways. First, the gyromotion of protons in the magnetic fields of the source produces synchrotron emission, and secondly, the photohadronic interactions with low-energy photons lead to the production of many secondary particles. (1)
Stueken, Eva, et al.
Mission to Planet Earth: The First Two Billion Years.
Space Science Reviews.
As if some global cognitive faculty has landed on this world and is retrospectively trying to learn how it all came to be, nine astroscientists with postings in Scotland, Austria, Germany, Japan, and the USA, including Helmut Lammer discuss features such as From Magma to a Water Ocean, Onset of Plate tectonics, and more.
Solar radiation and geological processes over the early million years of Earth’s history, along with the origin of life, steered our planet towards a long evolutionary course of habitability and the emergence of complex life. Crucial aspects included: (1) the redox state and volatile content of Earth’s geology, (2) the timescale of atmospheric oxygenation; (3) the origin of autotrophy, biological N2 fixation, and oxygenic photosynthesis; (4) strong stellar UV radiation on the early Earth, and (5) photochemical effects on Earth’s sulfur cycle. The early Earth presents as an exoplanet analogue that can be explored through the existing rock record, allowing us to identify atmospheric signatures diagnostic of biological metabolisms that may be detectable on other inhabited planets with next-generation telescopes. (Abstract excerpt)
Animate Cosmos > Quantum Cosmology > quantum CS
Balatsky, Alexander, et al.
Dynamic Quantum Matter.
Annalen der Physik.
This editorial introduces a special issue on these later 2010s abilities to treat and avail this fundamental realm in a similar way to “classical” stages. The select papers are from a workshop held at the Nordic Institute for Theoretical Physics, Stockholm in December 2018. We cite as another instance of a 21st century revolution whereby, due to its worldwise occasion, is achieving, from this vista, an epic (re)unification of cosmic scales, with our humankinder self-discovery.
We are witnessing rapid developments in the field of quantum materials with the focus on some of the most profound concepts in condensed matter, including entangled orders, quantum coherence, and quantum topology. Therefore, non‐equilibrium quantum dynamics emerges as a design principle to create desired quantum materials and functionalities. We see a growing focus on dynamics as a way to understand and control the fundamental physical processes that emerge due to quantum coherence of entangled quantum matter. (1)
Animate Cosmos > Quantum Cosmology > exouniverse
masaki, Shogo, et al.
Anisotropic Separate Universe Simulations.
Suzuka College, Kyoto University and University of Toyko physicists open the paper by noting that worldwide scientific collaborations now make it possible to theoretically consider entire cosmoses with regard to variable parameters and properties. In a philoSophia view, how fantastic is it that we phenomenal human beings are altogether capable of considering and quantifying a whole universe.
The long-wavelength coherent overdensity and tidal force affect time evolution of cosmic structure formation and therefore clustering observables through the mode coupling. In this paper we develop an "anisotropic" separate universe (SU) simulation technique to simulate large-scale structure formation. We modify the TreePM N-body simulation code to implement the anisotropic SU simulations, and then study the "response" function of matter power spectrum that describes how the matter power spectrum responds to the large-scale tidal effect as a function of wavenumber and redshift for a given global cosmology. We test and validate the SU simulation results from the comparison with the perturbation theory predictions and the results from high-resolution PM simulation. We find that the response function displays characteristic scale dependences over the range of scales down to nonlinear scales, up to k ~ 6 h/Mpc. (Abstract)
Animate Cosmos > Organic > Biology Physics
Cichos, Frank, et al.
Machine Learning for Active Matter.
Nature Machine Intelligence.
As many studies herein find that the movements of living systems from colloids and microbes to birds and people seem to be guided by and exhibit common self-organizing patterns, Leipzig University and University of Gothenburg add a further AI technique. An opening graphic cites molecular motors, turbulence, living crystals, growing tissues, chemotaxis, foraging, swimming, clustering and more, while a second shows convolutional neural nets, reservoir computing, genetic algorithms and other skill-sets. In regard, as brain-based deep AI gains wide, analytic utility, evinced by this application to an lively materiality, another window upon a natural genesis which avails and repeats the same iconic, bicameral, triality code everywhere is opened.
Machine learning techniques have already been successfully applied to active-matter data—for example, deep neural networks to analyse images and track objects, and recurrent nets and random forests to analyse time series. Yet machine learning can also help with the complexity of biological active matter, to establish a relation between the genetic code and bacterial behaviour, navigation strategies in complex environments, and to map physical cues onto animal behaviours. In this Review, we highlight the current state of the art and discuss opportunities and challenges. (Abstract excerpt)
Animate Cosmos > Organic > Biology Physics
Gompper, Gompper, Gerhard, et al.
The 2019 Motile Active Matter Roadmap.
Journal of Physics: Condensed Matter.
This is a broadly European state of the art collection for this fluid field, which is hardly a decade old. As the quotes note, some 40 researches post papers such as Active Brownian Particles: From Collective Phenomena to Fundamental Physics by Thomas Speck, Self-organized Collective Patterns by Fernando Peruani, and Patterns of Collective Motion in Huge Flocks of Starlings by Charlotte Hemelrijk. Its popularity and expansive subject increasingly attest to an animate, lively natural materiality.
Activity and autonomous motion are fundamental in living and engineering systems. The new field of active matter now focuses on the physical aspects of propulsion mechanisms, and on motility-induced collective behavior of a larger number of member agents. The scale ranges from microswimmers to cells, fish, birds, and people. A major challenge for understanding and designing active matter is their nonequilibrium nature due to persistent energy consumption. The vast complexity of phenomena and mechanisms involved in the self-organization and dynamics of motile active systems comprises a major challenge. Hence, going forward this important research area requires a concerted, synergetic, interdisciplinary approach. (Abstract excerpt)
Animate Cosmos > Organic > Chemistry
Active matter is a novel class of nonequilibrium systems composed of a large number of autonomous agents. The scale of agents ranges from nanomotors, microswimmers, and cells, to crowds of fish, birds, and humans. Unraveling, predicting, and controlling the behavior of active matter is a truly interdisciplinary endeavor at the interface of biology, chemistry, ecology, engineering, mathematics, and physics. Recent progress in experimental and simulation methods, and theoretical advances, now allow for new insights into this behavior, which should ultimately lead to the design of novel synthetic active agents and materials. This Roadmap provides an overview of the state of the art, and discusses future research directions on natural and artificial active agents, and their collective behavior. (Gerhard Gompper, Roland Winkler, 3)
Unsleber, Jan and Markus Reiher.
The Exploration of Chemical Reaction Networks.
Annual Review of Physical Chemistry.
ETH Zurich computational chemists survey many ways that the AI deep learning revolution promises to speed up and expand our human studies of nature’s prior materiality, along with beginnings of a new intentional creative phase.
Modern computational chemistry has reached a stage at which broad exploration into chemical reaction space with novel resolution of relevant molecular structures has become possible. Algorithmic advances have shown that such screenings can be automated and routinely carried out. It is the purpose of this overview to categorize the problems that should be targeted and to identify the components and challenges of automated exploration machines so that the existing approaches and future developments can be based on well-defined conceptual principles. (Abstract)