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Showing 1–4 of 4 results
Advanced filters: Author: Ottavia Bertolli Clear advanced filters
  • Olympiad-level formal mathematical reasoning is achieved with reinforcement learning, with performance reaching a score equivalent to that of a silver medallist at the 2024 International Mathematical Olympiad competition.

    • Thomas Hubert
    • Rishi Mehta
    • David Silver
    ResearchOpen Access
    Nature
    Volume: 651, P: 607-613
  • Deep learning applied to live-cell images of patient-derived neurons aids predicting underlying mechanisms and gains insights into neurodegenerative diseases, facilitating the understanding of mechanistic heterogeneity. D’Sa and colleagues use patient-derived stem cell models, high-throughput imaging and machine learning algorithms to investigate Parkinson’s disease subtyping.

    • Karishma D’Sa
    • James R. Evans
    • Sonia Gandhi
    ResearchOpen Access
    Nature Machine Intelligence
    Volume: 5, P: 933-946
  • AlphaFold 3 has a substantially updated architecture that is capable of predicting the joint structure of complexes including proteins, nucleic acids, small molecules, ions and modified residues with greatly improved accuracy over many previous specialized tools.

    • Josh Abramson
    • Jonas Adler
    • John M. Jumper
    ResearchOpen Access
    Nature
    Volume: 630, P: 493-500