Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–6 of 6 results
Advanced filters: Author: Guido Novati Clear advanced filters

  • AlphaGenome, a deep learning model that inputs 1-Mb DNA sequence to predict functional genomic tracks at single-base resolution across diverse modalities, outperforms existing models in variant effect prediction and enables comprehensive genomic analysis.

    • Žiga Avsec
    • Natasha Latysheva
    • Pushmeet Kohli
    ResearchOpen Access
    Nature
    Volume: 649, P: 1206-1218

  • Turbulence modelling is an essential flow simulation tool, but is typically dependent on physical insight and engineering intuition. Novati et al. develop a multi-agent reinforcement learning approach for learning turbulence models that can generalize across grid sizes and flow conditions.

    • Guido Novati
    • Hugues Lascombes de Laroussilhe
    • Petros Koumoutsakos
    Research
    Nature Machine Intelligence
    Volume: 3, P: 87-96

  • A detailed whole-body model of the fruit fly, developed using a physics-based simulation and deep reinforcement learning, accurately replicates real fly behaviour.

    • Roman Vaxenburg
    • Igor Siwanowicz
    • Srinivas C. Turaga
    ResearchOpen Access
    Nature
    Volume: 643, P: 1312-1320

  • Navigation and trajectory planning in environments with background flow, relevant for robotics, are challenging provided information only on local surrounding. The authors propose a reinforcement learning approach for time-efficient navigation of a swimmer through unsteady two-dimensional flows.

    • Peter Gunnarson
    • Ioannis Mandralis
    • John O. Dabiri
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-7