September 24 Issue

September issue

Kim, T., Hong, I., Im, S. et al. Wing-strain-based flight control of flapping-wing drones through reinforcement learning.

  • Taewi Kim
  • Insic Hong
  • Daeshik Kang
Article

Announcements

  • The Nobel Prize in Physics 2024 has been awarded to John Hopfield and Geoffrey Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks”. In recognition of this award, Nature Portfolio presents a collection of research, review and opinion articles that celebrates the direct contributions by the awardees and the advances they have inspired.

Nature Machine Intelligence is a Transformative Journal; authors can publish using the traditional publishing route OR via immediate gold Open Access.

Our Open Access option complies with funder and institutional requirements.

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  • Metagenome-assembled genomes (MAGs) provide insights into microbial dark matter, but contamination remains a concern for downstream analysis. Zou et al. develop a multi-modal deep language model that leverages microbial sequences to remove ‘unexpected’ contigs from MAGs. This approach is compatible with any contig binning tools and increases the number of high-quality bins.

    • Bohao Zou
    • Jingjing Wang
    • Lu Zhang
    Article
  • Walking efficiency declines in older adults. To address this challenge, Tricomi and colleagues present a pair of lightweight, soft robotic shorts that enhance walking efficiency for older adults by assisting leg mobility. This method improves energy efficiency on outdoor tracks while maintaining the users’ natural movement control.

    • Enrica Tricomi
    • Francesco Missiroli
    • Lorenzo Masia
    ArticleOpen Access
  • Predicting TCR–antigen–human leucocyte antigen binding opens the door to neoantigen identification. In this study, a physics-inspired sliding transformer (PISTE) system is used to guide the positioning of amino acid residues along the gradient field of their interactions, boosting binding prediction accuracy.

    • Ziyan Feng
    • Jingyang Chen
    • Honglin Li
    ArticleOpen Access
  • Stimulated emission depletion microscopy is a super-resolution imaging technique that utilizes point scanning in fluorescence microscopy. pySTED is developed to aid in the development and benchmarking of optical microscopy experiments, testing it in both synthetic and real settings.

    • Anthony Bilodeau
    • Albert Michaud-Gagnon
    • Flavie Lavoie-Cardinal
    ArticleOpen Access