NEWS
![Carbon aware computing relies on clean energy.](https://bifold.berlin/fileadmin/user_upload/News/green_energy_16-9-unsplash-1536x864.jpeg)
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.
![Dr. Christoper Anders](https://bifold.berlin/fileadmin/user_upload/People/2024_Anders_ChristophJ.png)
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.
EVENTS
3rd BIFOLD Summer School
Join us for the 3rd Berlin Summer School of Artificial Intelligence and Society: AI and the Urban: Making cities smart(er)? The Summer School provides a platform to explore and critically reflect on the prerequisites and impacts of new technologies. It emphasizes sustainability in smart cities and assesses AI's role as both an opportunity and a potential threat to sustainable urban development.
Our Mission
BIFOLD conducts groundbreaking foundational research in Big Data Management (DM) and Machine Learning (ML), as well as their intersection, to educate the talents of the future and to create high-impact knowledge.
OPPORTUNITIES
BIFOLD welcomes job applications from interested parties year-round.
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PUBLICATIONS
Xenofon Chatziliadis, Eleni Tzirita Zacharatou, Alphan Eracar, Steffen Zeuch, Volker Markl
Efficient Placement of Decomposable Aggregation Functions for Stream Processing over Large Geo-Distributed Topologies
David Justen, Daniel Ritter, Campbell Fraser, Andrew Lamb, Nga Tran, Allison Lee, Thomas Bodner, Mhd Yamen Haddad, Steffen Zeuch, Volker Markl et al.
POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance
Robin Kirchner, Jonas Möller, Marius Musch, David Klein, Konrad Rieck, Martin Johns
Dancer in the Dark: Synthesizing and Evaluating Polyglots for Blind Cross-Site Scripting
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GRADUATE SCHOOL
Based on a highly competitive application process, the BIFOLD Graduate School offers an innovative fast-track PhD Program for students holding a bachelor’s degree, as well as a PhD Program for students with a master’s degree.
INSTITUTIONAL PARTNERS
ASSOCIATED PARTNERS
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