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Niklas Boers awarded with EGU Outstanding Early Career Scientist Award
10/26/2020 - One of 2021’s Outstanding Early Career Scientist Awards goes to PIK researcher Niklas Boers. Awarded by the European Geosciences Union (EGU), the prize recognizes Boers’ important contributions in the fields covered by the Nonlinear Processes in Geosciences (NP) Division, which is focused on a series of nonlinear paradigms including deterministic chaos, tipping points, predictability and its limits, as well as extreme events.
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World Food Convention 2020 features keynote by Professor Lotze-Campen on food security
06/24/2020 - The Covid-19 pandemic has shown the volatility of our global food supply. In his keynote "Cooperation, preparation, information – how to prepare the food system for economic shocks", Professor Hermann Lotze-Campen, Head of PIK’s Climate Resilience Department, will contribute to this year's annual World Food Convention by addressing the crucial role international collaboration plays for averting future hunger crises in the wake of climate-related disasters.
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Postdoc Award of the State of Brandenburg for Niklas Boers
02.12.2019 - Niklas Boers of the Potsdam Institute for Climate Impact Research (PIK) has been awarded the Postdoc Prize of the State of Brandenburg. The prize is awarded by the state of Brandenburg in recognition of excellent research achievements by outstanding young scientists from universities and non-university research institutions.
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Artificial Intelligence in the Anthropocene
Future Lab on Machine Learning and data-driven methods in Climate and Earth system science
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New method to better understand much-employed self-learning Artificial Intelligence
11/04/2019 - Recent advancements in Artificial Intelligence (AI) research result from the combination of deep neuronal networks and reinforcement learning. In the latter, agents are able to learn rewarding behaviours in unknown environments by an iterative trial-and-error behaviour update process. But this process is not yet fully understood. Reinforcement learning agents are a specific area of AI. As AI can have a big impact on society, a better understanding AI systems is crucial to assess potential challenges and risks. Already today, AI is employed to steer cars, manage production lines, or even draft texts. A team of scientists from the Potsdam Institute for Climate Impact Research has developed a new method to investigate those algorithms using insights from statistical physics. Published in the journal Physical Reviews E, their insights can help to improve the design of large-scale AI reinforcement learning systems.
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