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kaggle.com

Discover what actually works in AI. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced benchmarks, competitions, and hackathons.

figshare.com

The animated diagram of titled Resonance with Emergence of Transformation recontextualizes Hartmut Rosa's theory by presenting the four elements—affection, emotion, transformation (here, "formation"), and unpredictability—in a dynamic interplay that highlights the formation of identity. In this diagram, "formation" replaces "transformation" to emphasize how our sense of self and individual character traits are continually shaped through daily interactions with the world, people, and material objects. This diagram aims to underscore that genuine resonance, as Rosa describes, involves deep and lasting connections that fundamentally transform the individual. The diagram illustrates how these resonant experiences, regardless of their duration, leave enduring imprints on the self, fostering true and lasting transformation (illustrated here with an emerging light green sphere that expands). This series of repeated resonant interactions builds upon the individual’s identity, showing that each occurrence of resonance contributes to the ongoing formation and reformation of the self, culminating in a profound and genuine transformation that Rosa describes. This visual representation aims to capture Rosa’s notion of genuine resonance, that is not just a fleeting moment but a continuous process with lasting impacts on personal growth and identity.

universe.roboflow.com

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zenodo.org

Amiridis, V.1, Marinou, E.1, Hostetler, C.2, Koopman, R.3, Cecil, D., J.4, Moisseev, D.5, Tackett, J.2, Gross, S.6, Baars, H.7, Redemann, J.8, Marenco, F.9, Baldini, L.10, Tanelli, S.11, Fielding, M.12, Janisková, M.12, Tanaka, T.13, O’Connor, E.14, Fjæraa, A., M.15, and the ACPPV consortium 16   1Institute of Astronomy, Astrophysics, Space Applications & Remote Sensing (IAASARS), National Observatory of Athens (NOA), 15236 Athens, Greece 2NASA Langley Research Center, Hampton, United States 3European Space Research and Technology, European Space Agency (ESA/ESTEC), Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands 4NASA Marshall Space Flight Center, Earth Science Branch, 320 Sparkman Dr NW, AL 35805, Huntsville, United States 5Institute for Atmospheric and Earth System Research, Faculty of Science, University of Helsinki, Helsinki, Finland 6Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Weßling 82234, Germany 7Leibniz Institute for Tropospheric Research (TROPOS), Permoserstraße 15, 04318 Leipzig, Germany 8School of Meteorology, University of Oklahoma, Norman, Oklahoma, United States 9The Cyprus Institute, 20 Konstantinou Kavafi Street, 2121 Nicosia, Cyprus 10National Research Council, Insitute of Atmospheric Science and Climate (CNR-ISAC), Via Fosso del Cavaliere, 100, 00133, Roma, Italy 11Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, United States 12European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, United Kingdom 13Earth Observation Research Center, Japan Aerospace Exploration Agency (JAXA), Tsukuba, Ibaraki 305-8505, Japan 14Finnish Meteorological Institute, Climate Research Programme, Erik Palménin aukio 1, FI-00560, Helsinki, Finland 15Climate and Research Institute NILU, P.O. Box 100, 2027 Kjeller, Norway 16 57 institutes, universities, and space agencies   Aerosols, clouds, precipitation, and the processes governing their interactions are the grand challenges for cu

arxiv.org

A system of non-tradable credits that flow between individuals like karma, hence proposed under that name, is a mechanism for repeated resource allocation that comes with attractive efficiency and fairness properties, in theory. In this study, we test karma in an online experiment in which human subjects repeatedly compete for a resource with time-varying and stochastic individual preferences or urgency to acquire the resource. We confirm that karma has significant and sustained welfare benefits even in a population with no prior training. We identify mechanism usage in contexts with sporadic high urgency, more so than with frequent moderate urgency, and implemented as a simple (binary) karma bidding scheme as particularly effective for welfare improvements: relatively larger aggregate efficiency gains are realized that are (almost) Pareto superior. These findings provide guidance for further testing and for future implementation plans of such mechanisms in the real world.

researchgate.net

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sciencedirect.com

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ieeexplore.ieee.org

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huggingface.co

We’re on a journey to advance and democratize artificial intelligence through open source and open science.