Showing 5,921 - 5,940 results of 9,922 for search 'open computing', query time: 0.14s Refine Results
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    GESim: ultrafast graph-based molecular similarity calculation via von Neumann graph entropy by Hiroaki Shiokawa, Shoichi Ishida, Kei Terayama

    Published 2025-04-01
    “…GESim is provided as an open-source package on GitHub at https://github.com/LazyShion/GESim .…”
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    Existence Results for Integral Equations and Boundary Value Problems via Fixed Point Theorems for Generalized F-Contractions in b-Metric-Like Spaces by Vishal Joshi, Deepak Singh, Adrian Petruşel

    Published 2017-01-01
    “…Some examples will illustrate the results and the corresponding computer simulations are suggestive from the output point of view. …”
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    PyTomography: A python library for medical image reconstruction by Lucas A. Polson, Roberto Fedrigo, Chenguang Li, Maziar Sabouri, Obed Dzikunu, Shadab Ahamed, Nicolas Karakatsanis, Sara Kurkowska, Peyman Sheikhzadeh, Pedro Esquinas, Arman Rahmim, Carlos Uribe

    Published 2025-02-01
    “…There is a need for open-source libraries in emission tomography that (i) use modern and popular backend code to encourage community contributions and (ii) offer support for the multitude of reconstruction techniques available in recent literature, such as those that employ artificial intelligence. …”
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    Reward signals in the motor cortex: from biology to neurotechnology by Gerard Derosiere, Solaiman Shokur, Pierre Vassiliadis

    Published 2025-02-01
    “…Understanding M1 reward signals may open new avenues for enhancing motor control and rehabilitation.…”
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    Ab initio artificial intelligence: Future research of Materials Genome Initiative by He Li, Yong Xu, Wenhui Duan

    Published 2023-12-01
    “…In particular, an emerging research field of ab initio AI, which applies state‐of‐the‐art AI techniques to help solve bottleneck problems of ab initio computation, will be introduced. The development of ab initio AI will greatly accelerate high‐throughput computation, promote the construction of large materials database, and open new opportunities for future research of MGI.…”
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