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ERC Starting Grant for Dr. Alexander von Lühmann
Dr. Alexander von Lühmann has been awarded an ERC Starting Grant of EUR 1.65 million. The goal of the IBS Lab is to measure and analyze brain activity in people's everyday environments.
BigEarth Project reviewed by CORDIS
The BigEarth Project, led by Prof. Dr. Begüm Demir, has been featured by CORDIS.
Reviewing VLDB 2024
Four BIFOLD research groups participated in the 50th International Conference on Very Large Databases in Guangzhou, China, taking place from August 26 to 30, 2024.
Learning from the Best
Dr. Anne Josiane Kouam is researching mobile security and privacy at BIFOLD. She's been selected as one of 200 promising young mathematicians and computer scientists to spend a week with leading experts in the field.
BIFOLD researchers honored with 2024 Frontiers of Science Award
The award honors the paper “SchNet - a deep learning architecture for molecules and materials,” by Kristof T. Schütt, Huziel E. Sauceda, Peter-Jan Kindermans, Alexandre Tkatchenko, and Klaus-Robert Müller. The paper introduces SchNet, a model that enhances molecular property predictions.
Simulation of quantum systems
Researchers from the Berlin Institute for the Foundations of Learning and Data (BIFOLD) at TU Berlin and Google DeepMind have now developed a novel machine learning algorithm which enables highly accurate simulations of the dynamics of a single or multiple molecule on long time-scales.
BIFOLD at IGARSS 2024
BIFOLD research group Big Data Analytics for Earth Observation (BigEarth), led by Prof. Begüm Demir, presented four papers at the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2024) in Athens, Greece. IGARSS 2024 scientific program focused on sustainable development in line with the United Nations 2030 Agenda.
Vessim - A Testbed for Sustainable Computing Systems
One approach to reduce the operational carbon emissions of datacenters is carbon-aware computing: aligning power demand with the availability of clean energy. However, common metrics for describing “clean” energy often oversimplify the complex nature of power grids and energy markets. To enable truly carbon-aware systems, visibility and control over the underlying energy system is needed. BIFOLD researchers developed an open-source simulation environment for research at the intersection of computing and energy systems.
How to remove biases from neural networks
Dr. Christopher Anders was PhD candidate in the Machine Learning group of Prof. Dr. Klaus-Robert Müller. At the beginning of the year 2024 he successfully defended his thesis and has now moved on to become a Postdoc in Japan. Before leaving Berlin, he told us what research topics drive him and where one can find him when he's not sitting in front of the computer.
Welcome Prof. Dr. Stefan Haufe
A warm welcome to Prof. Dr. Stefan Haufe as a new BIFOLD Fellow. Stefan Haufe is Professor of computer science and, since 2021, the head of the Uncertainty, Inverse Modeling and Machine Learning (UNIML) group at Technische Universität Berlin as well as Head of the working group Machine Learning and Uncertainty at Physikalisch-Technische Bundesanstalt (PTB) and Head of Brain and Data Science group, Berlin Center for Advanced Neuroimaging (BCAN) - Charité.