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Collections

  • Collection |

    Exploring light-based solutions to computational limits, with a focus on neuromorphic AI, integrated processors, and novel architectures.

    Image: © Vertigo3d/E+/Gettyimages
    Open for submissions
  • Collection |

    Inspired by themes from the 2025 International Conference on Rebooting Computing (ICRC), this collection aims to provide multidisciplinary perspectives regarding the development of novel computing paradigms that consider challenges and opportunities throughout and across the computing stack.

    Image: © Andriy Onufriyenko/Moment/Gettyimages
    Open for submissions
  • Collection |

    This Collection invites research on new theoretical and practical advances in hyperdimensional computing and vector symbolic architectures and their intersection with closely related areas.

    Image: © guirong hao/iStock/Gettyimages
    Open for submissions
  • Collection |

    This cross-journal Collection shines a spotlight on research exploring DNA as a scalable and sustainable medium for computing and data storage.

    Image: © RICHARD JONES/SCIENCE PHOTO LIBRARY/Gettyimages
    Open for submissions
  • Collection |

    The Nobel Prize in Physics 2024 has been awarded to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks”.

    Image: Springer Nature/The Nobel Foundation/Imagesource
  • Collection |

    This collection aims to showcase novel insights and applications of ionic computing platforms by focusing specifically on bio-inspired membranes and ion channels. Through this focus, we seek to advance our understanding of brain-like computing systems and explore potential new physical platforms for computation, particularly in the vicinity of biological cells.

    Image: © [M] Anastasiia / Generated with AI / Stock.adobe.com
    Open for submissions
  • Collection |

    This collection invites papers about integrated architectures, circuits, and algorithms for in-sensor and near-sensor computing, aiming to reduce latency and energy costs in data processing. It explores material advances enabling computational units within sensor hardware, emphasizing energy efficiency in IoT, autonomous vehicles, and smart infrastructure.

    Image: © Ai2Swift / Generated with AI / stock.adobe.com
  • Collection |

    Npj Unconventional Computing invites submissions for a thematic Collection on “Brain Inspired Computing” led by Wei Lu, Yuchao Yang, Christof Teuscher and Andy Sarles!

    Image: © [M] Andrey / Stock.adobe.com

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