NEWS
More AI for Berlin
The Berlin AI Competence Center, the Berlin Institute for the Foundations of Learning and Data (BIFOLD) at Technische Unviersität Berlin, hosted an international research symposium and ceremony to celebrate securing permanent federal-state annual funding of 22 million euros. The institutional partner for this new inter-university central institute is Charité – Universitätsmedizin Berlin. Permanent funding for BIFOLD secures Berlin’s future position as AI capital.
A poetic dialogue of art & science
The Italian media artist Marco Barotti is BIFOLD artist in residence 2022. The goal of the residence program titled “Art of Entanglement” is to combine artistic and scientific perspectives on artificial intelligence.
EVENTS
BIFOLD Colloquium 10/10/2022
In recent years, governments worldwide have moved their services online to better serve their citizens. Benefits aside, this choice increases the danger of tracking via such sites. This is of great concern as governmental websites increasingly become the only interaction point with the government.
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.
OPPORTUNITIES
BIFOLD welcomes job applications from interested parties year-round.
Ideal candidates are those who seek to challenge themselves academically, are passionate about data science and computer systems engineering, and possess expertise in Big Data analytics and Machine Learning, benchmarking, data science, scalable data management, scalable processing technologies that leverage hardware-based solutions, stream processing, or visual analytics.
PUBLICATIONS
Dr. Eleni Tzirita Zacharatou, Dr. Jorge-Arnulfo Quiané-Ruiz, Prof. Dr. Begüm Demir, Prof. Dr. Volker Markl, Ahmet Kerem Aksoy, Pavel Dushev, Holmer Hemsen, Marcela Charfuelan:
Satellite Image Search in AgoraEO
Dr. Lauritz Thamsen, Prof. Dr. Odej Kao, Philipp Wiesner, Dominik Scheinert, Thorsten Wittkopp:
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads
Dr. Habib Mostafaei, Prof. Georgios Smaragdakis, Ph.D.Prof. Dr. Anja Feldmann, Thomas Zinner:
Delay-Resitant Geo-Distributed Analytics
Our Mission
BIFOLD conducts groundbreaking foundational research in Big Data Management (DM) and Machine Learning (ML), as well as its intersection, to educate the talents of the future and to create high-impact knowledge.
INSTITUTIONAL PARTNERS
ASSOCIATED PARTNERS
