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Astronomy / Space Science - Computer Science - 13.03.2019
Microtechnics - Computer Science - 18.01.2019 
Smart microrobots that can adapt to their surroundings
Scientists at EPFL and ETH Zurich have developed tiny elastic robots that can change shape depending on their surroundings. Modeled after bacteria and fully biocompatible, these robots optimize their movements so as to get to hard-to-reach areas of the human body. They stand to revolutionize targeted drug delivery.
Life Sciences - Computer Science - 16.01.2019 
A robot recreates the walk of a 300-million-year-old animal
Using the fossil and fossilized footprints of a 300-million-year-old animal, an interdisciplinary team that includes scientists from EPFL and Humboldt-Universität zu Berlin have developed a method for identifying the most likely gaits of extinct animals and designed a robot that can recreate their walk.
Computer Science
Results 21 - 23 of 23.
Neural networks predict planet mass
To find out how planets form astrophysicists run complicated and time consuming computer calculations. Members of the NCCR PlanetS at the University of Bern have now developed a totally novel approach to speed up this process dramatically. They use deep learning based on artificial neural networks, a method that is well known in image recognition.
To find out how planets form astrophysicists run complicated and time consuming computer calculations. Members of the NCCR PlanetS at the University of Bern have now developed a totally novel approach to speed up this process dramatically. They use deep learning based on artificial neural networks, a method that is well known in image recognition.
Scientists at EPFL and ETH Zurich have developed tiny elastic robots that can change shape depending on their surroundings. Modeled after bacteria and fully biocompatible, these robots optimize their movements so as to get to hard-to-reach areas of the human body. They stand to revolutionize targeted drug delivery.
Using the fossil and fossilized footprints of a 300-million-year-old animal, an interdisciplinary team that includes scientists from EPFL and Humboldt-Universität zu Berlin have developed a method for identifying the most likely gaits of extinct animals and designed a robot that can recreate their walk.
