Computational science articles within Nature

Featured

  • Article |

    Quantitative multimodal 3D reconstruction of human pancreatic tissue at single-cell resolution reveals a high burden of multifocal, genetically heterogeneous pancreatic intraepithelial neoplasias in the normal adult pancreas.

    • Alicia M. Braxton
    • , Ashley L. Kiemen
    •  & Laura D. Wood

  • Article
    | Open Access

    A new neuro-symbolic theorem prover for Euclidean plane geometry trained from scratch on millions of synthesized theorems and proofs outperforms the previous best method and reaches the performance of an olympiad gold medallist.

    • Trieu H. Trinh
    • , Yuhuai Wu
    •  & Thang Luong

  • Article
    | Open Access

    There is extreme socioeconomic segregation in large US cities, arising from a greater choice of differentiated spaces targeted to specific socioeconomic groups, which can be countered by positioning city hubs (such as shopping centres) to bridge diverse neighbourhoods.

    • Hamed Nilforoshan
    • , Wenli Looi
    •  & Jure Leskovec

  • Article
    | Open Access

     A new nowcasting model unifies physical-evolution schemes and deep-learning methods to accurately predict precipitation with lead times of up to 3 h, including extreme-precipitation events and weather systems that were previously considered intractable with physics-based numerical methods.

    • Yuchen Zhang
    • , Mingsheng Long
    •  & Jianmin Wang

  • Article |

    An additive manufacturing method using a team of autonomous aerial robots allows for scalable and adaptable three-dimensional printing, and is used to deposit building materials during flight.

    • Ketao Zhang
    • , Pisak Chermprayong
    •  & Mirko Kovac

  • Article
    | Open Access

    A hybrid algorithm that applies backpropagation is used to train layers of controllable physical systems to carry out calculations like deep neural networks, but accounting for real-world noise and imperfections.

    • Logan G. Wright
    • , Tatsuhiro Onodera
    •  & Peter L. McMahon

  • Article |

    Machine learning tools are used to greatly accelerate chip layout design, by posing chip floorplanning as a reinforcement learning problem and using neural networks to generate high-performance chip layouts.

    • Azalia Mirhoseini
    • , Anna Goldie
    •  & Jeff Dean

  • Article |

    A deep-learning-based algorithm uses routinely acquired histology slides to provide a differential diagnosis for the origin of the primary tumour for complicated cases of metastatic tumours and cancers of unknown primary origin.

    • Ming Y. Lu
    • , Tiffany Y. Chen
    •  & Faisal Mahmood

  • Article |

    The pressure dependence and magnetic field dependence of the specific heat of a quantum magnet, SrCu2(BO3)2, demonstrate that its phase diagram contains a line of first-order transitions terminating at a critical point, in analogy with water.

    • J. Larrea Jiménez
    • , S. P. G. Crone
    •  & F. Mila

  • Article |

    An artificial intelligence system that can engage in a competitive debate with humans is presented.

    • Noam Slonim
    • , Yonatan Bilu
    •  & Ranit Aharonov

  • Article |

    A reinforcement learning algorithm that explicitly remembers promising states and returns to them as a basis for further exploration solves all as-yet-unsolved Atari games and out-performs previous algorithms on Montezuma’s Revenge and Pitfall.

    • Adrien Ecoffet
    • , Joost Huizinga
    •  & Jeff Clune

  • Article |

    A reinforcement-learning algorithm that combines a tree-based search with a learned model achieves superhuman performance in high-performance planning and visually complex domains, without any knowledge of their underlying dynamics.

    • Julian Schrittwieser
    • , Ioannis Antonoglou
    •  & David Silver

  • Article |

    An epidemiological model that integrates fine-grained mobility networks illuminates mobility-related mechanisms that contribute to higher infection rates among disadvantaged socioeconomic and racial groups, and finds that restricting maximum occupancy at locations is especially effective for curbing infections.

    • Serina Chang
    • , Emma Pierson
    •  & Jure Leskovec

  • Review Article
    | Open Access

    NumPy is the primary array programming library for Python; here its fundamental concepts are reviewed and its evolution into a flexible interoperability layer between increasingly specialized computational libraries is discussed.

    • Charles R. Harris
    • , K. Jarrod Millman
    •  & Travis E. Oliphant

  • Letter |

    A statistical forecast model using a deep-learning approach produces useful forecasts of El Niño/Southern Oscillation events with lead times of up to one and a half years.

    • Yoo-Geun Ham
    • , Jeong-Hwan Kim
    •  & Jing-Jia Luo

  • Letter |

    Hubble Space Telescope observations of the seventh inner moon of Neptune, Hippocamp, show that it is smaller than the other six, orbits near Proteus and probably originates from a fragment of Proteus.

    • M. R. Showalter
    • , I. de Pater
    •  & R. S. French

  • Letter |

    A modelling framework is presented to determine the optimal layout and physical properties of networks in which the nodes and links have physical sizes and intersections between components is prohibited.

    • Nima Dehmamy
    • , Soodabeh Milanlouei
    •  & Albert-László Barabási

  • Letter |

    Image reconstruction is reformulated using a data-driven, supervised machine learning framework that allows a mapping between sensor and image domains to emerge from even noisy and undersampled data, improving accuracy and reducing image artefacts.

    • Bo Zhu
    • , Jeremiah Z. Liu
    •  & Matthew S. Rosen

  • Article |

    Starting from zero knowledge and without human data, AlphaGo Zero was able to teach itself to play Go and to develop novel strategies that provide new insights into the oldest of games.

    • David Silver
    • , Julian Schrittwieser
    •  & Demis Hassabis

  • Letter |

    Polarity reversals caused by dynamo waves are demonstrated in a magnetohydrodynamic model that is relevant to planetary cores, suggesting a possible mechanism of geomagnetic reversals.

    • Andrey Sheyko
    • , Christopher C. Finlay
    •  & Andrew Jackson

  • Letter |

    A data-analytical approach that can extract the history and dynamics of complex systems from noisy snapshots on timescales much shorter than the uncertainty with which the data were recorded is described; the approach is demonstrated by extracting the dynamics on the few-femtosecond timescale from experimental data recorded with 300-femtosecond timing uncertainty.

    • R. Fung
    • , A. M. Hanna
    •  & A. Ourmazd

  • Letter |

    The crowd sourcing and gamification of a problem in quantum computing are described; human players succeed in solving the problem where purely numerical optimization fails, providing insight into, and a starting point for, strategies for optimization.

    • Jens Jakob W. H. Sørensen
    • , Mads Kock Pedersen
    •  & Jacob F. Sherson

  • Letter |

    An ab initio calculation of alpha–alpha scattering is described for which the number of computational operations scales approximately quadratically with particle number and which uses lattice Monte Carlo simulations and lattice effective field theory, combined with the adiabatic projection method to reduce the eight-body system to a two-cluster system.

    • Serdar Elhatisari
    • , Dean Lee
    •  & Ulf-G. Meißner

  • Letter |

    High-resolution three-dimensional simulations of hydrothermal flow beneath fast-spreading ridges predict two interacting flow components — shallow on-axis flow and deeper off-axis flow — that merge to feed axial vent sites, reconciling previously incompatible models favouring only one flow component.

    • Jörg Hasenclever
    • , Sonja Theissen-Krah
    •  & Colin W. Devey

  • Letter |

    Three-dimensional dynamic computer models show how accretionary tectonic margins evolve from the initial plate-collision state, through a period of plate margin instability, and then re-establish a stable convergent margin; the models illustrate how significant curvature of the orogenic system develops, as well as the mechanism for tectonic escape of the back-arc region.

    • L. Moresi
    • , P. G. Betts
    •  & R. A. Cayley

  • Books & Arts |

    Media artist Jon McCormack uses computer algorithms to imagine the future of native Australian species. As he prepares two new works — Codeform and Fifty Sisters — for the Ars Electronica Festival in Linz, Austria, he talks about digital evolution and virtual ecosystems.

    • Jascha Hoffman

  • Books & Arts |

    Tom Mitchell uses engineering and computing to enable people to play and sample live music using gestures. With the latest version of his co-creation 'The Gloves' about to debut at TEDGlobal 2012 in Edinburgh, UK, he talks about adaptive musical interaction.

    • Jascha Hoffman

  • Letter |

    The AWARE-2 camera uses a parallel array of microcameras to capture one-gigapixel images at three frames per minute.

    • D. J. Brady
    • , M. E. Gehm
    •  & S. D. Feller

  • Books & Arts |

    Aaron Koblin, head of the Data Arts Team in Google's Creative Lab, uses data visualization and crowdsourcing to reveal the changing relationship between people and technology. As he presents his work at the Eyeo Festival of digital creativity and prepares to release a collaboration with Google, London's Tate Modern and artist Chris Milk, he talks about the beauty of big data.

    • Jascha Hoffman

  • Feature |

    Having a mobile device can save researchers a huge amount of time. It can also mean that they never switch off.

    • Kendall Powell

  • Books & Arts |

    Computer scientist Erik Demaine uses origami to advance computational geometry and create art. His paper sculptures, made with his father, artist Martin Demaine, are now on show at the Japanese American National Museum in Los Angeles, California; from August, the exhibition will tour the United States. He explains the challenges of folding together mathematics and art.

    • Jascha Hoffman

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