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Displaying entries 76 through 90 of 95 found.

Our Earthuman Ascent: A Major Evolutionary Transition in Twindividuality

Effenberger, Felix, et al. The functional role of oscillatory dynamics in neocortical circuits: A computational perspective. PNAS. 122/4, 2025. Ernst Strüngmann Institute, Frankfurt neuroscientists including Wolf Singer achieve even more sophisticated evidence of critically poised, more or less order, diverse cerebral states which again reside at and attest to nature’s golden meanings. In addition, their certain method adds a byte digital and image analog reciprocity to the occasion which can serve AI methods.

Neocortical circuits are now known to be characterized by complex oscillatory dynamics. Whether these oscillations serve computations is still debated. Here we designed a recurrent network model to control oscillatory dynamics which replicates neuronal systems and suggests that biological neural networks are likely to express oscillatory dynamics for computing. The interference patterns provided by wave-based responses serve holistic representations and parallel encodings of both spatial and temporal relations. (Excerpt)

Another advantage of heterogeneity is that it brings network dynamics closer to criticality which is a hallmark of cortical networks and provide efficient benefits summarized in the “critical brain” hypothesis due to the emergence of metastable states

We believe that nature solves such hard problems through analog computations. We predict that it will be possible to implement the principles presented here in energy efficient analog hardware. Combined with electrical elements such as memristors, they can enable the design of machine learning applications that can complement digital technologies.

Bosl, William and Jenny R Capua Shenkar. Dynamical measures of developing neuroelectric fields in emerging consciousness. Current Opinion in Behavioral Sciences.. Februart, 2025. University of San Francisco and University of Michigan neuroresearchers achieve further perspective on the nascent presence of a sensory awareness as it may arise, form and perceive, so it seems, in our personal experience, through life’s evolutionary gestation, and maybe an eventual ecosmic coming to her/his self-realization.

Human consciousness emerges over time. From the moment of conception, a process of neurodevelopment and complexification begins which generates an electric field that can be quantified by computational methods from dynamical systems theory. A post-natal emergence of conscious awareness and Theory of Mind is accompanied by increasing neural connectivity and more integrated processing. Neurodegeneration in old age is due to losses of neural connectivity. (Excerpt)

William J. Bosl is a neuroscience professor at the University of San Francisco and the leads the Healthcare AI Initiative. He also develops AI algorithms for clinical biomarker discovery with researchers at Boston Children’s Hospital.

Mudrik, Liad, et al. Unpacking the Complexities of Consciousness: Theories and Reflections.. Neuroscience & Biobehavioral Reviews. February, 2025. Tel Aviv University, Canadian Institute for Advanced Research, Toronto, University of Amsterdam and University of Wisconsin including Melanie Boly, Stanislas Dehaene and Anil Seth survey the disparities and problems that need be collectively worked out for any ponderable consensus. One reason could be the insensate machine paradigm which belies any Earthuman sentient curiosity.

As consciousness science matures, the research agenda has expanded from the neural correlates of consciousness to actual theories of its occasion. However, despite research efforts, the field has split into. five polar theories: Global Neuronal Workspace, Higher-Order, Integrated Information Theory, Recurrent Processing, and Predictive Processing. As a result, there is much controversy around what consciousness is, how to identify aware states, and so on. Addressing these core questions is crucial for a deeper understanding and integral convergence. (Capsule)

Volpe, Cristina. . What shall we learn from a future supernova?.. arXiv:2412.15964. We cite this single author entry as an example among many daily postings of the apparently infinite, ordained facilities which seem to signify and enhance each and every human person. To so reflect, into 2025 a prodigious Earthumanity can then altogether proceed, while still unbeknownst, to achieve the vital ecosmic necessity, so it may seem, of its own self-quantification and literate description.

See also, for example, OpenUniverse2024: A shared, simulated view of the sky for the next generation of cosmological surveys at arXiv:2501.05632 and Morphological Classification of Galaxies Through Structural and Star Formation Parameters Using Machine Learning at arXiv:2501.06340.

Core-collapse supernovae constitute a unique laboratory for particle physics and astrophysics. They are powerful neutrino sources of all flavors, emitting essentially all the gravitational binding energy through neutrinos, at the end of their life. I will highlight how crucial is the observation of the next core-collapse supernova and of the diffuse supernova neutrino background, whose discovery might be imminent.

Maria Cristina Volpe is an astrophysicist specializing in the theory and phenomenology of cosmological neutrinos. She is a director for the French National Centre for Scientific Research.

Alagoz, Gokberk, et al. The shared genetic architecture and evolution of human language and musical rhythm. Nature Human Behavior. November, 2024. MPI Psycholinguistics, Vanderbilt University Medical Center and University of Edinburgh researchers proceed to find a common natural affinity between our prime cultural script and score, prose and prosody, communicative facilities.

This study aimed to test theoretical predictions about a biological basis for human language-related and musical rhythm traits. After noting genetic correlations between rhythm, dyslexia and linguistic traits, here we adapt multivariate methods to capture genetic signals common to genome-wide association studies of rhythm and dyslexia. Overall, we provide empirical evidence of a shared biological source linking language and musical rhythm to gain novel insights into the evolutionary relationships between human musicality and literate discourse. (Excerpt)

Girardini, Nicolo, et al.. Community Aware Temporal Network Generation. arXiv:2501.07327.. University of Trento and Aix-Marseille University illustrate this definitive structural presence of personal interrelations. Once again, an interplay of equally real node and link modes forms and graces our cultural trinity.

The realization that temporal networks suffuse complex dynamics has become a way to better define real world systems. However, social datasets have many drawbacks. In this work, we extend a recent network generation approach to capture the evolution of interactions between different communities. Our method labels nodes based on their affiliation and sets up surrogate networks. This enables the generation of synthetic relations that mimic actual behaviors. (Excerpt)

Morgan, Thomas and Marcus Feldman. Human culture is uniquely open-ended rather than uniquely cumulative. Nature Human Behaviour. 9/28, 2025. In this news notice paper, veteran ASU and Stanford anthropologists survey an array of prior psychological and societal findings and theories in latest attempt to identify what really distinguishes our sapient ascendance. As the quote says, our leading edge Earthuman phase is more concerned with future frontiers which then infuses our social orientation and content.

Theories of how humans arose to ecological primacy often cite collective abilities and literate transmission. Here we revisit this view by a comparison with animal cultures and find that cumulative change is not unique to human beings. We then consider other aspects such as pathways of inheritance, the non-random variation, genetic fitness and evolutionary dynamics. From this array, we identify the open-ended scope of human cultural creativity as a key feature for the cognitive basis of this open-endedness. (Excerpt)

Wolpert, David and Kyle Harper. The computational power of a human society: a new model of social evolution.. arXiv:2408.08861.. Sante Fe Institute and University of Oklahoma theorists consider a new mid 2020s version of traditional sociology by updating with current complex system and computational attributes. The intense, 67 page article then courses from Erwin Schroedinger’s 1943 view of “living matter,” code-scripts, onto major evolutionary transitions, thermodynamics and much more. Altogether an innovative fertile excursion.

Social evolutionary theory seeks to explain increases in the scale and complexity of human history. We propose that advances in complex systems and computer science could further reveal how societies co-evolve with their biotic environments. We construe a set of interacting occupations and technologies, and a bioregion with distinct ecological and climatic processes. This view then engages the requisite energetic costs and the ways it can extract resources from the environment to cover those costs.

Portugali, Juval, ed. The Crisis of Democracy in the Age of Cities. Cheltenham, UK: Edward Elgar, 2023. The editor is a geographer (search) at Tel Aviv University (search) who often collaborated with the systems pioneer Hermann Haken. This latest collection includes synoptic entries by Luís Bettencourt, Karoline Wiesner, Michael Batty and especially Democracy deserves wisdom by Scott Kelso.

The book explores the tension between non-democratic liberalism, non-liberal democracy and the present era of cities as complex systems. Against the backdrop of globalization, the Anthropocene, and Industry 4.0, each chapter analyses these challenges from the unique perspective of cities. Expert contributors analyse the interplay between complexity theory, urban planning, governance and the internet so to highlight the relationship between urban beauty and democracy.

Rybski, Diego, ed. Compendium of Urban Complexity: Switzerland: Springer, 2025.. Switzerland: Springer, 2025. Due in May, the editor is a director at the Leibniz Institute of Ecological Urban and Regional Development, Dresden, Germany.

This book brings together key findings, insights, and theories at the intersection of two disciplines – city science and complex systems. It features a curated collection of chapters contributed by emerging scholars conducting cutting-edge research in complexity science, interdisciplinary physics, and quantitative geography. The compendium is tailored to a thematically diverse audience, spanning quantitative fields such as statistical and mathematical physics, as well as socially-focused domains such as geography and urban planning.

Earth Earns: An Open CoCreative Earthropocene to Astropocene PediaVerse

Bracco, Annallisa, et al. Machine learning for the physics of climate. Nature Reviews Physics. January, 2025. As scientific studies now scale to Earthuman collaborations, they also become fostered by AI neural net computational capabilities. In this entry Georgia Tech, University of Colorado, University of Utrecht and Nansen Environmental and Remote Sensing Center, Norway researchers announce and detail how global weather conditions as a hyper complex, dynamic system can enter a new phase of accuracy and predictability.

Climate science has lately been enhanced by an exponential growth in computing power and worldwide increases in empirical observations. Big data and associated algorithms under the field of machine learning (ML), allow us to study the physics of the climate system in ways that were not possible earlier. In this Review, we discuss how ML has been used to better reconstruct weather statistics, represent sub-grid-scale phenomena, forecast events and so on. Finally, we consider the benefits of ML in studying complex systems. (Excerpts)

Colombo, E. H., et al.. Scaling of connectivity metrics in river networks.. arXiv:2501.17033. Into this year, Helmholtz-Zentrum Dresden Rossendorf, Germany Earth system scientists add a further finesse to how even geological phenomena can be found to exemplify nature’s universal complex dynamics. Circa 2000, none of this was imagined or possible. A quarter century later, a global collaboration can now quantify a revolutionary double domain of phenoware forms which arise from an independent, common genoware source.

Rivers are well-known to exhibit fractal-like properties with scaling laws that link network geometry and size, but may not reflect ecological processes such as the generation of biodiversity. Connectivity metrics, however, have been shown to influence relevant environmental outcomes. In this work, we establish how riverine network connectivity scales with system size by analyzing more than 1000 rivers across the globe. Specifically, we found clear power-law scaling of both the Harmonic and Betweenness centrality connectivity metrics. (Excerpt)

Jeevanjee, Nadir, et al. A Holistic View of Climate Sensitivity. Annual Review of Earth and Planetary Sciences. February, 2025. NOAA/Geophysical Fluid Dynamics Laboratory, Princeton system climatologists including John Krasting add more nested layers that need be noted and factored in if we are to gain integral understanding and foresight of our wild weather

The notion of climate sensitivity has become synonymous with equilibrium climate sensitivity (ECS), as the Earth system responds to a doubling of CO2. But there are scales of this feature arranged by an increasing complexity and societal relevance. This article describes these conditions and by way of climate forcing and feedback, ocean heat uptake, and the airborne fraction of cumulative emissions. (Abstract)

Schwabe, Mierk, et al. Opportunities and challenges of quantum computing for climate modelling.. arXiv:2502.10488. Institut für Physik der Atmosphäre, München, Germany, Center for Learning the Earth with Artificial Intelligence and Physics, Columbia University and University of Bremen physicists including Veronika Eyring explore ways to enjoin AI neural advances with select quantum algorithms as a way to take studies of hyper-complex world weather environs to a new level of predictive accuracy.

Adaptation to climate change requires robust climate projections, yet uncertainties in Earth system models (ESMs) remains large. Building on the work of hybrid (physics + AI) ESMs, we discuss how quantum computers could accelerate climate models by solving the underlying differential equations faster, how quantum machine learning could better represent subgrid-scale phenomena in ESMs, how quantum algorithms could assist in tuning the many parameters in ESMs, and how quantum computers could aid in the analysis of climate models. (Excerpt)

Ghafarollahi, Alireza and Markus Buehler. Automating alloy design and discovery with physics-aware multimodal multiagent AI. PNAS. 122/4, 2025. We cite this report by Laboratory for Atomistic and Molecular Mechanics, MIT research physicists a current blend of properly informed technical LLM capabilities along with AI pattern recognitions which can then serve to reveal novel metallic compounds. For a historic record, my first patent in 1962 for a silver-indium catalyst came from a Handbook of Binary (eutectic) Alloys and the periodic table. Six decades later, one can observe in wonder this current person to planetary scientific spiral ascent.

We construct a physics-aware AI model that integrates the advanced reasoning, rational thinking, and strategic planning capabilities of large language models with the ability to write and execute code, perform atomistic simulations to solicit new physics data, and conduct visual analysis of graphed data and molecular mechanisms. By employing a multiagent strategy, these capabilities are combined into an intelligent system designed to solve complex analysis and design tasks, as applied here to alloy design and discovery. (Abstract)

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