By David Dao, GainForest/PhD candidate ETH Zurich, Switzerland Nature has been deteriorating at rates unparalleled in human history and the implications are global. Climate change and biodiversity loss are two bullets in the same gun. Perils we face in parallel, both driven by deforestation and land use change. If global tropical deforestation were a country, […]
By Michele Ceriotti, EPFL STI SMX-GE, Lausanne, Switzerland When modeling materials and molecules at the atomic scale, achieving a realistic level of complexity and making quantitative predictions are usually conflicting goals. Data-driven techniques have made great strides towards enabling simulations of materials in realistic conditions with uncompromising accuracy. In this talk I will summarize the […]
By Peter Smillie, Mathematical Institute, Heidelberg University Fullerenes are polyhedral molecules made of carbon atoms, first discovered in 1985. A few isomers are naturally occurring and many more have since been synthesised, with numerous applications across materials science, biology, and medicine. One source of theoretical interest in fullerenes is that there are a lot of […]
By Shimei Pan, Information Systems Department of UMBC, Baltimore, USA The emergence of advanced AI technologies, such as Deep Learning and ChatGPT has the potential to revolutionize the way we work, live, and interact with each other, potentially bringing a profound transformation of our society. Thus, it is imperative that we ensure the responsible development […]
By Victor M. Panaretos, Institute of Mathematics, EPFL, Switzerland For one hundred years, the analysis of variance has been at the core of statistical inference. Though Fisher first distilled the notion circa 1920, its roots go much deeper in time, and ultimately lie in some of the most elemental concepts of geometry. This, in turn, […]
By Jürgen Knödlseder, IRAP, GAHEC, Toulouse, France The carbon footprint of astronomical research is an increasingly topical issue with first estimates of research institute and national community footprints having recently been published. As these assessments generally do not take into account the contribution of astronomical research infrastructures, we propose to complement them by providing […]
By Adrian E. Raftery, Department of Statistics, University of Washington, Seattle, USA This colloquium is organized jointly with the Institute of Meteorology and Climate Research (IMK), Karlsruhe Institute of Technology (KIT). The climate change projections of the Intergovernmental Panel on Climate Change are based on scenarios for future emissions, but these are not statistically […]
By Philipp Podsiadlowski, Stellar Astrophysics, University of Oxford, UK While the basic evolution of stars has been understood for many decades, there are still major uncertainties in our theoretical understanding of how stars end their lives, both in the context of low- and intermediate-mass stars (including the Sun) and massive stars. After reviewing some […]
By Norman Schumann, Klima vor acht e.V. It's hard to imagine that the world is coming to an end, and nobody's talking about it. Unfortunately, this happens every day in the German media, or, to put it differently, the issue is not being addressed. After more than thirty years since the establishment of the […]
By Olexandr Isayev, Carnegie Mellon University, Department of Chemistry, Pittsburgh, Pennsylvania, USA Deep learning is revolutionizing many areas of science and technology, particularly in natural language processing, speech recognition, and computer vision. In this talk, we will provide an overview of the latest developments of machine learning and AI methods and their application to […]
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