Full-text search Fulltext search 236 Resultate University of Zurich teaches drones tricks Thanks to a navigation algorithm, drones are learning to autonomously perform acrobatic maneuvers. Using simulations, the autonomous aircraft are trained to become faster, more agile, and more efficient. The soundtrack of your life Endel uses artificial intelligence to create personalized music. The soundscape app promises to improve concentration or facilitate relaxation, depending on what the user requires. The app even claims to alleviate sleeping problems. A self-experiment. Creation of the first ever levitated massive particle with quantum properties For the first time ever, physicists in Vienna have succeeded in creating a levitated solid-state object with quantum properties. Does the weather influence the success of pop music? A study involving the Max Planck Institute (MPI) for Empirical Aesthetics suggests that the weather influences the Top 10 charts. Swissloop is hovering on a wave of success With its second place in the Hyperloop contest in the United States, the Swiss engineering collective Swissloop has caused quite a stir. Now they are ready to take the next step. Study: Reducing the carbon footprint of houses and cars also saves money It is possible to reduce the carbon footprint attributable to driving and housing while saving money at the same time. This has been determined by researchers from the “Bioenergy and Sustainable Technologies” (BEST) competence center in Wieselburg, Austria. A house in the spirit of the circular economy The ZHAW has built a house according to the closed-loop principle: Nutrients extracted from urine serve as fertiliser, rainwater is processed into drinking water. And much more besides. Sensors and switches made of wood Sustainable electronic elements can be made from wood. This is helped by a novel process that uses a laser to engrave electrically conductive tracks into veneers. Computers powering self-driving cars could emit vast amounts of CO2 Computers powering self-driving cars could be a big contributor to global carbon emissions, according to MIT. Deep learning system explores the inside of materials - from the outside MIT researchers have developed a new method to find out what is going on inside materials. To do this, they need data from the material's surface alone.
