Challenge Accepted

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  • In the AlphaPilot Challenge, teams compete to fly autonomous drones through an obstacle course as fast as possible. The 2019 winning team MAVLab reflects on the challenge of beating human pilots.

    • C. De Wagter
    • F. Paredes-Vallés
    • G. de Croon
    Challenge Accepted
  • A new international competition aims to speed up the development of AI models that can assist radiologists in detecting suspicious lesions from hundreds of millions of pixels in 3D mammograms. The top three winning teams compare notes.

    • Jungkyu Park
    • Yoel Shoshan
    • Krzysztof J. Geras
    Challenge Accepted
  • A new open challenge tests whether algorithmic models can explain human brain activity in cognitive tasks and encourages interaction between researchers studying natural and artificial intelligence.

    • Radoslaw Martin Cichy
    • Gemma Roig
    • Aude Oliva
    Challenge Accepted
  • The first Smart Cities Robotics Challenge, organized by the European Robotics League, took place from 18–21 September at the Centre:MK shopping centre in Milton Keynes. The competition tested the ability of robots to interact with humans in everyday tasks as well as with the digital infrastructure of a smart city.

    • Jacob Huth
    Challenge Accepted
  • Tired of training neural networks? Try optimizing virtual creatures instead.

    • Sam Kriegman
    Challenge Accepted
  • To safely operate in the real world, robots need to evaluate how confident they are about what they see. A new competition challenges computer vision algorithms to not just detect and localize objects, but also report how certain they are.

    • Niko Sünderhauf
    • Feras Dayoub
    • Peter Corke
    Challenge Accepted
  • As nations come together in Tokyo next summer to celebrate the spirit of human potential in the 2020 Olympic Games, they will have a chance to take part in another international competition hosted by Japan soon after, this time with challenges designed for robot contenders.

    • Liesbeth Venema
    Challenge Accepted
  • Could this be the year that AI is going to surpass human performance in playing the popular video game Angry Birds? The organizers of the annual AIBIRDS competition discuss the challenges involved.

    • Jochen Renz
    • XiaoYu Ge
    • Peng Zhang
    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
    Challenge Accepted
  • A new competition presents AI agents with cognition challenges to test their animal intelligence.

    • Matthew Crosby
    • Benjamin Beyret
    • Marta Halina
    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
    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
    Challenge Accepted
  • By organizing Kaggle competitions, astrophysicist Thomas Kitching can focus on asking the right questions.

    • Thomas Kitching
    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
    Challenge Accepted