NNAISENSE, an artificial intelligence company based in Switzerland, beat out 441 other participants to win first prize in the “Learning to Run” competition co-organized by researchers from UC Berkeley, EPFL, and the Mobilize Center. The competition was part of the Neural Information Processing Systems (NIPS) 2017 Competition track. In the competition, participants were tasked with developing a controller to enable a physiologically-based human model to navigate a complex obstacle course as quickly as possible. NNAISENSE’s model ran at 4.60 m/s. The second prize winner’s model (Beijing University, China) ran at 4.17 m/s, and the third prize winner’s model (reason8.ai, USA) ran at 3.84 m/s. View a video summarizing the competition and showing simulations of the submitted models.