We have submitted a great set of papers to this year's 41st Annual Meeting of the Cognitive Science Society (CogSci) in Montreal. A historic moment for the lab! We will continue this proud tradition in the years to come.
Congrats and good luck to Dr. Dhruv Singh
Wissenschaftspreis der Hector Stiftung geht an Prof. Dr. Bernhard Schölkopf
Prof. Dr. Bernhard Schölkopf erhält in diesem Jahr den mit 150.000 Euro dotierten Wissenschaftspreis der Hector Stiftung. Die Jury würdigt damit seine herausragenden Leistungen in der Grundlagenforschung zum maschinellen Lernen und der Künstlichen Intelligenz, die als Schlüsseltechnologien der digitalen Revolution gelten.
Scientists from the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Software Systems develop algorithms which optimize the well-known spaced repetition method used for memorizing educational material. By using optimal spacing time, the learning process becomes as efficient as possible. Their findings were published in the prestigious journal PNAS on Tuesday.
Behavioral and Brain Sciences has accepted our target article “Resource-rational analysis: understanding human cognition as the optimal use of limited computational resources”. According to the editor we have set a new record with our 53 page long response to the reviewers!
Good news! Our paper “Doing more with less: Meta-reasoning and meta-learning in humans and machines” has been accepted for publication in Current Opinion in Behavioral Sciences.
Prof. Dr. Jan Peters, Head of the Robot Learning Group at the Max Planck Institute for Intelligent Systems and Professor for Intelligent Autonomous Systems at the Department of Computer Science at the Technical University of Darmstadt, was appointed IEEE Fellow. He is honored for his important contributions to machine learning for robots to acquire motor skills. This work is of outstanding importance for current developments in artificial intelligence in two areas, autonomous robotics and machine learning, in particular reinforcement learning. They have the potential to make more intelligent robots more useful in our everyday lives in the future.