News & Comment

  • Challenge Accepted |

    Rebuilding particle trajectories from high-energy proton collisions is an essential step in processing the petabytes of data generated by the Large Hadron Collider at CERN. In search of an order of magnitude speed-up, physicists reached out to the computer science community.

    • David Rousseau
  • Comment |

    To develop scientific methods for evaluation in robotics, the field requires a more stringent definition of the subject of study, says Signe Redfield, focusing on capabilities instead of physical systems.

    • Signe Redfield
  • Q&A |

    Effy Vayena runs a lab at ETH Zürich that studies ethics, legal and social implications of precision medicine and digital health. We asked her views on the code of conduct for using artificial intelligence (AI) systems in healthcare, recently published by the UK’s National Health Service (NHS).

    • Liesbeth Venema
  • Challenge Accepted |

    A new competition presents AI agents with cognition challenges to test their animal intelligence.

    • Matthew Crosby
    • , Benjamin Beyret
    •  & Marta Halina
  • Editorial |

    Deep learning has revolutionized the technology industry, but beyond eye-catching applications such as virtual assistants, recommender systems and self-driving cars, deep learning is also transforming many scientific fields.

  • Comment |

    The European Commission’s report ‘Ethics guidelines for trustworthy AI’ provides a clear benchmark to evaluate the responsible development of AI systems, and facilitates international support for AI solutions that are good for humanity and the environment, says Luciano Floridi.

    • Luciano Floridi
  • News & Views |

    Classic theories of reinforcement learning and neuromodulation rely on reward prediction errors. A new machine learning technique relies on neuromodulatory signals that are optimized for specific tasks, which may lead to better AI and better explanations of neuroscience data.

    • Blake A. Richards
  • Challenge Accepted |

    To accelerate the development of energy-efficient and intelligent machines, Yung-Hsiang Lu and organizers launched a challenge for low-power approaches to image recognition.

    • Yung-Hsiang Lu
  • Comment |

    There is much to be gained from interdisciplinary efforts to tackle complex psychological notions such as ‘theory of mind’. However, careful and consistent communication is essential when comparing artificial and biological intelligence, say Henry Shevlin and Marta Halina.

    • Henry Shevlin
    •  & Marta Halina
  • Editorial |

    The online availability of large amounts of publicly posted images and other data is fuelling machine learning research and applications. However, it is time to take privacy concerns seriously.

  • Comment |

    If we are to realize the potential of self-driving cars, we need to recognize the limits of machine learning. We should not pretend self-driving cars are around the corner: it will still take substantial time and effort to integrate the technology safely and fairly into our societies.

    • Jack Stilgoe
  • Comment |

    Technology companies have quickly become powerful with their access to large amounts of data and machine learning technologies, but consumers could be empowered too with automated tools to protect their rights.

    • Marco Lippi
    • , Giuseppe Contissa
    • , Francesca Lagioia
    • , Hans-Wolfgang Micklitz
    • , Przemysław Pałka
    • , Giovanni Sartor
    •  & Paolo Torroni
  • Q&A |

    David Oh was lead flight director for the Curiosity Mars rover and is now part of NASA’s mission to Psyche, a 200-km-wide metal asteroid. Our editor Yann Sweeney met with David at SIGGRAPH Asia to discuss whether advances in AI could improve autonomous robots for space exploration.

    • Yann Sweeney
  • Challenge Accepted |

    Juxi Leitner recounts how he and his team took part in — and won — the 2017 Amazon Robotics Challenge and reflects on the importance of solving big picture problems in robotics.

    • Jürgen Leitner
  • News Feature |

    Affordances are ways in which an animal or a robot can interact with the environment. The concept, borrowed from psychology, inspires a fresh take on the design of robots that will be able to hold their own in everyday tasks and unpredictable situations.

    • Jeremy Hsu
  • News & Views |

    Humans infer much of the intentions of others by just looking at their gaze. Similarly, we want to understand how machine learning systems solve a problem. New tools are developed to find out what strategies a learning machine is using, such as what it is paying attention to when classifying images.

    • José Hernández-Orallo
  • Editorial |

    Artificial intelligence (AI) has recently re-emerged from the intersection of many fields, directing its collective energy at the building and studying of intelligent machines.

  • Comment |

    After a difficult start, medicinal chemists are now ready to embrace AI-based methods and concepts in drug discovery, explains Gisbert Schneider.

    • Gisbert Schneider
  • Editorial |

    Preprints provide an efficient way for scientific communities to share and discuss results. We encourage authors to post preprints on arXiv, bioRxiv or other recognized community preprint platforms.

  • Challenge Accepted |

    By organizing Kaggle competitions, astrophysicist Thomas Kitching can focus on asking the right questions.

    • Thomas Kitching
  • Comment |

    Artificial intelligence (AI) promises to be an invaluable tool for nature conservation, but its misuse could have severe real-world consequences for people and wildlife. Conservation scientists discuss how improved metrics and ethical oversight can mitigate these risks.

    • Oliver R. Wearn
    • , Robin Freeman
    •  & David M. P. Jacoby
  • Comment |

    Ken Goldberg reflects on how four exciting sub-fields of robotics — co-robotics, human–robot interaction, deep learning and cloud robotics — accelerate a renewed trend toward robots working safely and constructively with humans.

    • Ken Goldberg
  • News & Views |

    To be useful in a variety of daily tasks, robots must be able to interact physically with humans and infer how to be most helpful. A new theory for interactive robot control allows a robot to learn when to assist or challenge a human during reaching movements.

    • Luke Drnach
    •  & Lena H. Ting
  • Challenge Accepted |

    Yuanfang Guan explains how taking part in data challenges has helped her learn new analytical techniques and creatively apply them on a variety of datasets.

    • Yuanfang Guan
  • Editorial |

    As artificial intelligence, robotics and machine learning are high on the agenda everywhere, Nature Machine Intelligence launches to stimulate collaborations between different disciplines.

  • Comment |

    Debate about the impacts of AI is often split into two camps, one associated with the near term and the other with the long term. This divide is a mistake — the connections between the two perspectives deserve more attention, say Stephen Cave and Seán S. ÓhÉigeartaigh.

    • Stephen Cave
    •  & Seán S. ÓhÉigeartaigh