Artificial Intelligence

EPFL scientists have developed a deep learning-based method called LiftPose3D, which can reconstruct 3D animal poses using only 2D poses from one camera. This method will have impact in neuroscience and bioinspired robotics.

Why do some people get sick and die from COVID-19 while others seem to be completely unaffected? EPFL’s Blue Brain Project deployed its powerful brain simulation technology and expertise in cellular and molecular biology to try and answer this question.

For millennia scientists have manually combed through data in a bid to find meaningful patterns to solve complex problems. Now, many researchers believe that Machine Learning will fundamentally change the way science is done.

Artificial intelligence (AI) is able to recognise the biological activity of natural products in a targeted manner, as researchers at ETH Zurich have demonstrated. Moreover, AI helps to find molecules that have the same effect as a natural substance but are easier to manufacture. This opens up huge possibilities for drug discovery, which also have potential to rewrite the rulebook for pharmaceutical research.

An EPFL Master’s student has shown that artificial intelligence can be used to further automate the process of land-use classification in Switzerland, especially for rare and complicated land categories that until now have been classified manually. A stretch of land in Valais Canton served as the sample for her research.

Engineers at EPFL have developed a predictive control model that allows swarms of drones to fly in cluttered environments quickly and safely. It works by enabling individual drones to predict their own behavior and that of their neighbors in the swarm.