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A Sourcebook for the Worldwide Discovery of a Creative Organic Universe
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Recent Additions: New and Updated Entries in the Past 60 Days
Displaying entries 1 through 15 of 127 found.


The Natural Genesis Vision

The Genesis Vision > Current Vistas

Lovelock, James. Novacene: The Coming Age of Hyperintelligence. Cambridge: MIT Press, 2019. Yes, another epic contribution from the elder British scientific sage, who is hale and hearty at age 100. He can well affirm that his 1970s Gaia vision of life’s self-regulating biosphere, after many contentions, has become a mainstay of Earth system science. A novel situation today is that nature’s vital propensity to modify and form sustainable environs can be set within vast planet-filled heavens. By virtue of his research, while life’s self-maintenance is a robust process, it is contingent on many factors to an extent that our home ecoworld may likely be the only one to get this far. Thus, our regnant, global sapience may have achieved a unique knowing perception within an otherwise insentient cosmos. His cosmic scenario then proposes that to sustain this animate abode, human beings will need to enhance themselves, with all checks and balances, by way of a cyber-technical, artificial intelligence capacity. Once again, James Lovelock gifts us with a grand vista for seeing how significant a rarest living Earth actually can be to the future and fate of the whole universe. The enhancements he broaches will be of concern, but it is assured that they will not be a machine singularity to replace precious peoples. See also a review by Stephen Cave in The Financial Times (July 16, 2019), re the fifth quote.

Gaia must continue her work of cooling the planet because she could be destroyed by shocks to her system, which, in previous ages, would have been shrugged off. I am pretty sure that only Earth has incubated a creature capable of knowing the cosmos. But I am equally sure that the existence of the creature is imperiled. We are unique, privileged beings and, for that reason we should cherish every moment of our awareness. We should now be cherishing those moments even more because our supremacy as the prime understanders of the cosmos is rapidly coming to an end. (5)

I think the zone of habitability idea is flawed because it ignores the possibility that a planet bearing life will tend to modify its environment and climate in a way that favors the life upon it, as our does. A great deal of time may have been wasted curing the search for life elsewhere because of the false assumption that the current environment of the Earth is simply a matter of geological happenstance. The truth is that the Earth’s environment has been massively adapted to sustain habitability. (11)

To me it is clear that the distinguishing feature of human intelligence is that we use it to analyze and speculate about the world and the cosmos, and in the Anthropocene, to make changes of planetary significance. As I have said, I believe only we do this, only we are the way in which the cosmos has awoken to self-knowledge. Assuming I am right and there are no intelligent aliens, then the end of life on Earth would mean the end of all knowing and understanding. The knowing cosmos would die. (23-24)

This is the age I call the Novacene. I’m sure that one day a more appropriate name will be chosen, but for now I’m using ”Novacene” to describe what could be one of the most crucial periods in the history of our planet and perhaps even of the cosmos. (30)

The only stable way of ensuring a cool planet is to ensure it is replete with life, Lovelock argues, drawing on his Gaia theory. The machines will therefore join us in undoing the damage we have done, bringing fresh smarts to this task, and imagining new ways of re-engineering the planet back to a happy equilibrium. The other reason he gives for welcoming AI is even more double-edged. Like some scientists whose business is to understand the universe, he claims that this endeavor is the very purpose of life. The Earth has given rise to us humans as the first step on this route to enlightenment, but it is our vastly smarter machine progeny “that will lead the cosmos to self-knowledge”. (Cave review)

Planetary Prodigy: A Global Sapiensphere Learns by Her/His Self

A Learning Planet > Original Wisdom > Rosetta Cosmos

Bokanyi, Eszter, et al. Scaling in Words on Twitter. Royal Society Open Science. October, 2019. Eotvos Lorand University, Budapest and Sensible City Laboratory, MIT theorists including Gabor Vattay add further evidence of how much human conversational script can indeed exhibit and be analyzed by the same active, nested, complexity formations as everywhere else from cosmic to societal realms.

Scaling properties of language are a useful tool for understanding generative processes in texts. We investigate the scaling relations in citywise Twitter corpora coming from the Metropolitan and Micropolitan Statistical Areas of the United States. We observe a slightly superlinear urban scaling with the city population for the total volume of the tweets and words created in a city. We then find that a certain core vocabulary follows the scaling relationship of that of the bulk text, but most words are sensitive to city size, exhibiting a super- or a sublinear urban scaling. (Abstract excerpt)

A Learning Planet > The Spiral of Science > deep

Manzalino, Antonio. Complex Deep Learning with Quantum Optics. Quantum Reports. 1/1, 2019. In this new MDPI online journal, a senior manager in the Innovation Dept. of Telecom Italia Mobile (TIM), bio below, advances the frontiers of this current assimilation of a lively quantum cosmos with human neural net cognizance. See also, e.g., a cited reference, Quantum Fields as Deep Learning, by Jae-Weon Lee at arXiv:1708.07408. While a prior physics mindset worries over an opaque strangeness, into these later 2010s, via instant global collaborations, a profound new understanding and treatment becomes possible.

The rapid push towards telecommunications infrastructures such as 5G capacity and the Internet drives a strong interest for artificial intelligence (AI) methods, systems, and networks. Processing big data to infer patterns at high speeds with low power consumption is a central technological challenge. Today, an emerging research field rooted in quantum optics along with deep neural networks (DNNs) and nanophotonics are cross-informing each other. This paper elaborates on these topics and proposes a theoretical architecture for a Complex DNN made from programmable metasurfaces. An example is provided which shows a correspondence between the equivariance of convolutional neural networks and the invariance principle of gauge transformations. (Abstract)

Antonio Manzalini received the M. Sc. Degree in Electronic Engineering from the Politecnico of Turin and the Ph.D on Computer Science and Networks from Télécom SudParis and Université Pierre & Marie Curie – Sorbonne. His results have been published in more than 130 of technical papers. His interests in TIM concern SDN and NFV, Cloud vs Multi-Access Edge Computing for 5G, Future Internet and Quantum Communications.

A Learning Planet > Mindkind Knowledge

Lobo, Jesus, et al. Spiking Neural Networks and Online Learning: An Overview. Neural Networks. 121/88, 2019. TECHNALIA, Derio, Spain, Telecom ParisTech, and Auckland University of Technology (Nikola Kasabov) innovators show how human neural-cognitive facilities can be extrapolated and mapped onto internet activities and resources. That is to say, the same computational cerebral dynamics are evident in its knowledge representation, and our educational access. In regard, such methods as distributed computation, online optimization, structured prediction, data preprocessing and more occur both in our human brains and this emergent global sapience and repository.

Applications that generate huge amounts of data in the form of fast streams are increasingly prevalent, as they are necessary for learning in an online manner. These conditions impose memory and processing time restrictions, and may affect the input data distribution. There is a need for new algorithms that adapt to these changes as fast as possible, while maintaining good performance scores. Spiking Neural Networks offer a successful approach to model the behavior and learning potential of the brain, with regard to practical online learning tasks. This work merges both fields by way of a comprehensive overview, motivating further developments that embrace Spiking Neural Networks for online learning scenarios. (Abstract)

A Learning Planet > Mindkind Knowledge

Massari, Giovanni, et al. Intelligence of Small Groups. arXiv:1909.11051. Six researchers based at the University of North Texas including Bruce West offer a technical inquiry by way of many-body physics and network neuroscience to consider whether human interactive meetings could achieve a collective acumen of their own. By this approach, self-organizing processes are seen to reach phase transitions which reside at a critical poise. As a further measure, in such communicative settings 150 people seem to be an optimum size, which is then noted to confirm Robin Dunbar’s famous number.

A Learning Planet > Mindkind Knowledge

Wehner, Stephanie, et al. Quantum Internet: A Vision for the Road Ahead. Science. 362/eaam9288, 2018. QuTech, Delft University of Technology computer physicist provides a technical review and update on the highway to this supercharged noosphere. See also an interview To Invent a Quantum Internet by Natalie Wolchover in Quanta (September 25, 2019), and Towards Large-Scale Quantum Networks by SW and Wojiech Kozlowski at arXiv:1909.08396.

The internet—a vast network that enables simultaneous long-range classical communication—has had a revolutionary impact on our world. The vision of a quantum internet is to fundamentally enhance internet technology by enabling quantum communication between any two points on Earth. Such a quantum internet may operate in parallel to the internet that we have today and connect quantum processors in order to achieve capabilities that are provably impossible by using only classical means. Here, we propose stages of development toward a full-blown quantum internet and highlight experimental and theoretical progress needed to attain them. (Abstract)

A Learning Planet > Mindkind Knowledge > References

Taroni, Andrea. Rise of the Platforms. Nature Physics. /september, 2019. An editorial about these active frontiers of scientific literature and publishing formats, as wholly open access sites such as quantum-journal.org, www.researchers.one, and scipost.org follow up on and expand what the original physics preprint arXiv site, and others, began. For readers and students, this historic change from paper journals (I once waited three years for acceptance, then another year before in print) to instant worldwide appearance, with review standards in place, is a quite fluid situation. More often you can currently Google a paper title, with an author’s name, and reach a full PDF.

An Organic, Conducive, Habitable MultiUniVerse

Animate Cosmos > Quantum Cosmology

Cui, Weiguang, et al. The Large Scale Environment from Cosmological Simulations II. The Redshift Evolution and Distributions of Baryons. arXiv:1902.09522. We cite this entry by a thirteen member team with postings in Spain, Australia, Germany, France, China, South Africa, and the UK including Noam Libeskind as an example of globalwise abilities to scan, explore, quantify, and describe, so it seems, every breadth and depth of an infinite, temporally developmental, multiUniVerse. As this work proceeds, a library of cosmos repository then accrues. See also by this extended group The Three Hundred Project: A Large Catalogue of Galactic Clusters (1809.04622), Partitioning the Universe into Gravitational Basins Using the Cosmic Velocity Field (1907.06555), The Quasi-Linear Nearby Universe (1807.03724), and The Large Scale Environment from Cosmological Simulations I: The Baryonic Cosmic Web (1708.02302). A popular graphic article about these findings is Cosmic Mariners by Noam Libeskind and Yehuda Hoffman in Sky & Telescope for October 2019.


Following Cui et al (1708.02302) on the classification of large-scale environments (LSE) at z = 0, we push our analysis to higher redshifts and study the evolution of LSE and the baryon distributions in them. Our aim is to investigate how baryons affect the LSE as a function of redshift. We validate the conclusion of Cui 2017 that the gas web is an unbiased tracer of total matter -- even better at high redshifts. By separating the whole warm-hot intergalactic medium WHIM gas mass into the four large-scale environments (i.e. voids, sheets, filaments, and knots), we find that about half of the WHIM gas is located in filaments. (Abstract excerpt)

Animate Cosmos > Quantum Cosmology

Hartle, James. How Nature is Conformable to Herself: A View from Quantum Cosmology. arXiv:1909.08724. The UC Santa Barbara physicist and often collaborator with his advisor the late Nobel laureate Murray Gell-Mann (1929-2019) comments on his 1996 article with the above title (Complexity 1/4) in which he, as did Newton from whom the phrase comes, avers a persistent innate recurrence in kind from universe to us. A metaphor is layers of onion skin – a natural genesis conforms to and reiterates the same “complex adaptive system” at each and every stage (see his 1994 The Quark and the Jaguar). Circa 2019, Hartle indeed cites a universality of emergent, mathematical simplicity, regularity and complexity from its quantum dynamics source. See George Johnson’s N. Y. Times obit (May 25) where he also notes Murray’s long advocacy of a sensible cosmos which opens to our comprehension.

In his essay "Nature Conformable to Herself" the late Murray Gell-Mann expands on an observation of Newton that theories of seemingly disparate phenomena in the universe often make use of similar ideas and similar mathematical structure. Newton summarized that by saying that nature was very consonant and conformable to herself. This essay uses a model of quantum cosmology to illustrate how, why, and when nature is conformable to herself. (Hartle Abstract)

All three principles – the conformability of nature to herself, the applicability of the criterion of simplicity, and the utility of certain parts of mathematics in describing physical reality – are thus consequences of the underlying law of the elementary particles and their interactions. Those three principles need not be assumed as separate metaphysical postulates. Instead, they are emergent properties of the fundamental laws of physics. (Gell-Mann, 1995, 12).

Animate Cosmos > Quantum Cosmology

McGaugh, Stacy, et al. Dynamical Regularities in Galaxies. arXiv:1090.02011. Case Western Reserve University, European Southern Observatory, Munich, and University of Oregon astrophysicists post a chapter to appear in the IAU Symposium 353 (Shanghai, June 2019) volume Galactic Dynamics in the Era of Large Surveys.

Galaxies are observed to obey a strict set of dynamical scaling relations. We review these relations for rotationally supported disk galaxies spanning many decades in mass, surface brightness, and gas content. The behavior of these widely varied systems can be summarized with a handful of empirical laws connected by a common acceleration scale. (Abstract)

Animate Cosmos > Quantum Cosmology > quantum CS

Arrighi, Pablo. An Overview of Quantum Cellular Automata. Natural Computing. September, 2019. An Aix-Marseille University researcher opens another window upon the nonlinear nature of this deep realm by the ready avail of these computational mathematics. See also A Review of Quantum Cellular Automata by a colleague Terry Farrelly at arXiv:1904.13318.

Quantum cellular automata consist in arrays of identical finite-dimensional quantum systems, evolving in discrete-time steps by iterating a unitary operator G. Moreover the global evolution G is required to be causal (it propagates information at a bounded speed) and translation-invariant (it acts everywhere the same). Quantum cellular automata provide a model/architecture for distributed quantum computation. We give an overview of their theory, with particular focus on structure results; computability and universality results; and quantum simulations. (Abstract)

Animate Cosmos > Quantum Cosmology > quantum CS

Huang, Hsin-Yuan and Richard Kueng. Predicting Features of Quantum Systems using Classical Shadows. arXiv:1908.08909. We cite this paper by CalTech mathematical physicists as a 2019 example of how, while a mindset of intractable strangeness still holds, quantum phenomena has become widely treatable as and interchangeable with macro-matter dynamic complexities.

Predicting features of complex, large-scale quantum systems is essential to the characterization and engineering of quantum architectures. We present an efficient approach for predicting a large number of linear features using classical shadows obtained from very few quantum measurements. This sampling rate is completely independent of the system size and saturates fundamental lower bounds from information theory. These highlight advantages compared to existing machine learning approaches. (Abstract excerpt)

Animate Cosmos > Quantum Cosmology > quantum CS

Melko, Roger, et al. Restricted Boltzmann Machines in Quantum Physics. Nature Physics. 15/9, 2019. While a 20th century mindset that this field of study is so strange as to be beyond comprehension persists, we cite this entry by Perimeter Institute, Flatiron Institute (Giuseppe Carleo), MPI Quantum Physics, and Vector Institute for AI, Toronto, researchers as another example of its worldwide 21st century reconception. While still foundational, it is being widely treated by the same complex network phenomena akin to every other macro-phase. See Philip Ball’s and Lee Smolin’s 2019 books for a full length treatment. See also Quantum Natural Gradient by GC, et al at arXiv:1909.02108 for similar excursions.

A type of stochastic neural network called a restricted Boltzmann machine has been widely used in artificial intelligence applications for decades. They are now finding new life in the simulation of complex wavefunctions in quantum many-body physics.

To solve all these issues, we need to wipe the data clean, go back to the first principles of quantum theory and general relativity, decide which are necessary and which are open to question, and see what new principles we might need. Do that, and an alternative description of physics becomes possible, one that explains things not in terms of objects situated in a pre-existing space as we do now, but in terms of events and the relationships between them. (Lee Smolin, New Scientist, August 24, 2019, 36)

Animate Cosmos > Quantum Cosmology > quantum CS

Orus, Roman. Tensor Networks for Complex Quantum Systems. Nature Reviews Physics. 1/9, 2019. We cite this extensive, well referenced paper by the Spanish physicist with postings such as Barcelona Supercomputing Center and CSO Multiverse Computing (see RO’s site) for how it treats this quantum domain in several nonlinear ways. The author goes on to develop affinities with Chomsky linguistics, machine learning, chemistry, neural net topologies and more. In regard, the entry exemplifies progress toward our current micro quantum and macro classical integral unification.

Tensor network states and methods have advanced in recent years. Originally developed in condensed matter physics and based on renormalization group ideas, tensor networks are being revived thanks to quantum information theory and understandings of entanglement in quantum many-body systems. Tensor network states play a key role in other disciplines such as quantum gravity and artificial intelligence. In this context, we provide an overview of basic concepts and key developments such as structures and algorithms, global and gauge symmetries, fermions, topological order, classification of phases, entanglement Hamiltonians, AdS/CFT, conformal field theory, quantum chemistry, disordered systems, and many-body localization. (Abstract excerpt)

Animate Cosmos > Quantum Cosmology > quantum CS

Rispoli, Matthew, et al. Quantum Critical Behavior at the Many-Body-Localization Transition. arXiv:1812.06959. While equilibrium quantum systems are said to be well quantified, non-equilibrium phenomena have not yet been. Here seven Harvard University physicists describe how these active phases can be explained by better measurements of their entanglement properties. We cite to record how the arcane quantum realm is being parsed by the same critically poised systems theory as everywhere else. And from the Abstract: Our results unify the system's microscopic structure with its macroscopic quantum critical behavior, and they provide an essential step towards understanding criticality and universality in non-equilibrium systems.

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