Science Tech Brief By HackerNoon

Science Tech Brief By HackerNoon

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Science Tech Brief By HackerNoon episodes

  • OpenCitations Meta: Abstract and Intro

    This story was originally published on HackerNoon at: https://hackernoon.com/opencitations-meta-abstract-and-intro.



    Check more stories related to science at: https://hackernoon.com/c/science.
    You can also check exclusive content about #scholarly-citations, #bibliographic-metadata, #provenance, #change-tracking, #open-science, #opencitations, #sparql, #semantic-publishing, and more.


    This story was written by: @categorize. Learn more about this writer by checking @categorize's about page,
    and for more stories, please visit hackernoon.com.

    14 min
  • The Results of Our Othello Experiment: How We Solved the Game

    This story was originally published on HackerNoon at: https://hackernoon.com/the-results-of-our-othello-experiment-how-we-solved-the-game.


    We used a dataset including 61,549 game records played between 2001 and 2020. We selected 2,587 positions out of the 2,958,551 positions
    Check more stories related to science at: https://hackernoon.com/c/science.
    You can also check exclusive content about #computer-science, #game-theoretic-value, #solving-othello, #reversi-game, #alpha-beta-search, #what-is-alpha-beta-research, #edax-software, #othello-hypothesis, and more.


    This story was written by: @precedent. Learn more about this writer by checking @precedent's about page,
    and for more stories, please visit hackernoon.com.


    We used a dataset including 61,549 game records played between 2001 and 2020. We selected 2,587 positions out of the 2,958,551 positions and formulated hypotheses regarding their game-theoretic values. If all these hypotheses were proven correct, it would prove that the initial position results in a draw.

    4 min
  • We Solved Othello... But What Does This Mean?

    This story was originally published on HackerNoon at: https://hackernoon.com/we-solved-othello-but-what-does-this-mean.


    We conclude that our study has weakly solved Othello, although we recognize that our achievement is just above the criteria for weakly solving.
    Check more stories related to science at: https://hackernoon.com/c/science.
    You can also check exclusive content about #computer-science, #solving-othello, #reversi-game, #game-theoretic-value, #alpha-beta-search, #edax-software, #strategy-games, #tactic-games, and more.


    This story was written by: @precedent. Learn more about this writer by checking @precedent's about page,
    and for more stories, please visit hackernoon.com.


    We conclude that our study has weakly solved Othello, although we recognize that our achievement is just above the criteria for weakly solving. For certain borderline positions with 36 empty squares, Edax requires a large amount of computation to determine the game-theoretic value and corresponding move. By providing an additional “opening” book for these positions with 35 or fewer empty square, we could further reduce computational demand.

    5 min
  • Two Microlensing Planets through Planetary-Caustic Channel: Light Curve Analysis

    This story was originally published on HackerNoon at: https://hackernoon.com/two-microlensing-planets-through-planetary-caustic-channel-light-curve-analysis.


    In this paper, researchers analyze microlensing events OGLE-2018-BLG-0567 and OGLE-2018-BLG-0962, revealing planetary companions to the hosts.
    Check more stories related to science at: https://hackernoon.com/c/science.
    You can also check exclusive content about #gravitational-lensing, #micro-planetary-systems, #ogle-2018-blg-0567, #ogle-2018-blg-0962, #microlensing-events, #planetary-caustics, #light-curve-modeling, #galactic-bulge, and more.


    This story was written by: @exoplanetology. Learn more about this writer by checking @exoplanetology's about page,
    and for more stories, please visit hackernoon.com.


    In this paper, researchers analyze microlensing events OGLE-2018-BLG-0567 and OGLE-2018-BLG-0962, revealing planetary companions to the hosts.

    6 min
  • Two Microlensing Planets through Planetary-Caustic Channel: Observation

    This story was originally published on HackerNoon at: https://hackernoon.com/two-microlensing-planets-through-planetary-caustic-channel-observation.


    In this paper, researchers analyze microlensing events OGLE-2018-BLG-0567 and OGLE-2018-BLG-0962, revealing planetary companions to the hosts.
    Check more stories related to science at: https://hackernoon.com/c/science.
    You can also check exclusive content about #gravitational-lensing, #micro-planetary-systems, #ogle-2018-blg-0567, #ogle-2018-blg-0962, #microlensing-events, #planetary-caustics, #light-curve-modeling, #galactic-bulge, and more.


    This story was written by: @exoplanetology. Learn more about this writer by checking @exoplanetology's about page,
    and for more stories, please visit hackernoon.com.


    In this paper, researchers analyze microlensing events OGLE-2018-BLG-0567 and OGLE-2018-BLG-0962, revealing planetary companions to the hosts.

    6 min
  • pyParaOcean, A System for Visual Analysis of Ocean Data: Acknowledgments and References

    This story was originally published on HackerNoon at: https://hackernoon.com/pyparaocean-a-system-for-visual-analysis-of-ocean-data-acknowledgments-and-references.


    In this paper, researchers introduce pyParaOcean, enhancing ocean data visualization in Paraview for dynamic process tracking and event detection.
    Check more stories related to science at: https://hackernoon.com/c/science.
    You can also check exclusive content about #pyparaocean, #oceanography, #model-simulations, #paraview-plugin, #eddy-identification, #salinity-tracking, #oceanographic-modeling, #event-detection, and more.


    This story was written by: @oceanography. Learn more about this writer by checking @oceanography's about page,
    and for more stories, please visit hackernoon.com.


    In this paper, researchers introduce pyParaOcean, enhancing ocean data visualization in Paraview for dynamic process tracking and event detection.

    14 min
  • pyParaOcean, A System for Visual Analysis of Ocean Data: Conclusion

    This story was originally published on HackerNoon at: https://hackernoon.com/pyparaocean-a-system-for-visual-analysis-of-ocean-data-conclusion.


    In this paper, researchers introduce pyParaOcean, enhancing ocean data visualization in Paraview for dynamic process tracking and event detection.
    Check more stories related to science at: https://hackernoon.com/c/science.
    You can also check exclusive content about #pyparaocean, #oceanography, #model-simulations, #paraview-plugin, #eddy-identification, #salinity-tracking, #oceanographic-modeling, #event-detection, and more.


    This story was written by: @oceanography. Learn more about this writer by checking @oceanography's about page,
    and for more stories, please visit hackernoon.com.


    In this paper, researchers introduce pyParaOcean, enhancing ocean data visualization in Paraview for dynamic process tracking and event detection.

    3 min
  • Deep Neural Network for Sea Surface Temperature Prediction: Background

    This story was originally published on HackerNoon at: https://hackernoon.com/deep-neural-network-for-sea-surface-temperature-prediction-background.


    In this paper, researchers enhance SST prediction by transferring physical knowledge from historical observations to numerical models.
    Check more stories related to science at: https://hackernoon.com/c/science.
    You can also check exclusive content about #oceanography-studies, #numerical-models, #sea-surface-temperature, #physical-knowledge-transfer, #earth-observation-technologies, #generative-adversarial-network, #historical-observational-data, #prediction-performance, and more.


    This story was written by: @oceanography. Learn more about this writer by checking @oceanography's about page,
    and for more stories, please visit hackernoon.com.


    In this paper, researchers enhance SST prediction by transferring physical knowledge from historical observations to numerical models.

    7 min
  • Deep Neural Network for Sea Surface Temperature Prediction: Experimental Results and Analysis

    This story was originally published on HackerNoon at: https://hackernoon.com/deep-neural-network-for-sea-surface-temperature-prediction-experimental-results-and-analysis.


    In this paper, researchers enhance SST prediction by transferring physical knowledge from historical observations to numerical models.
    Check more stories related to science at: https://hackernoon.com/c/science.
    You can also check exclusive content about #oceanography-studies, #numerical-models, #sea-surface-temperature, #physical-knowledge-transfer, #earth-observation-technologies, #generative-adversarial-network, #historical-observational-data, #prediction-performance, and more.


    This story was written by: @oceanography. Learn more about this writer by checking @oceanography's about page,
    and for more stories, please visit hackernoon.com.


    In this paper, researchers enhance SST prediction by transferring physical knowledge from historical observations to numerical models.

    16 min
  • Multilevel Profiling of Situation and Dialogue-based Deep Networks: Proposed Methodology

    This story was originally published on HackerNoon at: https://hackernoon.com/multilevel-profiling-of-situation-and-dialogue-based-deep-networks-proposed-methodology.


    In this paper, researchers propose a multi-modality framework for movie genre classification, utilizing situation, dialogue, and metadata features.
    Check more stories related to science at: https://hackernoon.com/c/science.
    You can also check exclusive content about #movie-genre-classification, #convolutional-neural-network, #english-movie-trailer-dataset, #multimodal-data-analysis, #affective-content-analysis, #cognitive-content-analysis, #video-analysis, #lmtd-9-dataset, and more.


    This story was written by: @kinetograph. Learn more about this writer by checking @kinetograph's about page,
    and for more stories, please visit hackernoon.com.


    In this paper, researchers propose a multi-modality framework for movie genre classification, utilizing situation, dialogue, and metadata features.

    11 min

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