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.

A Poetic Dialogue of Art and 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.

Web Trackers are widely present in Governmental Websites

BIFOLD Researcher Prof. Dr. Georgios Smaragdakis with TU Berlin recent bachelor graduate Matthias Götze, and collaborators from IMDEA Software and Networks Institutes, and the Cyprus University of Technology performed a large-scale measurement study of more than 5,500 official government websites.

Multi-million funding for AI research “made in Berlin”

Berlin’s AI competence center the Berlin Institute for the Foundations of Learning and Data (BIFOLD) at TU Berlin has now made the transition from project funding to permanent joint funding provided by the federal government and the State of Berlin.

The Shared Scientific Identity of Europe

The project Sphere: Knowledge System Evolution and the Shared Scientific Identity of Europe is one of the leading Digital Humanities projects, exploring a large corpus of more than 350 book editions about geocentric cosmology and astronomy from the early days of printing between the 15th and the 17th centuries (Sphaera Corpus) for about 76.000 pages of material.

December 05, 2022

Detecting Visual Elements in Historical Documents

Historians are increasingly in need of digital tools to process and extract information from electronic copies of historical sources. BIFOLD scientists developed YOLO (You Only Look Once).

November 30, 2022

AI facilitates breakthrough in cancer diagnostics

So-called sinonasal undifferentiated carcinomas (SNUCs) are extremely difficult to diagnose. A team led by Dr. Philipp Jurmeister and BIFOLD Fellow Prof. Frederick Klauschen from the Institute of Pathology at LMU, Prof. David Capper from Charité University Hospital together with BIFOLD Co-Director Prof. Klaus-Robert Müller, has developed an AI tool that reliably distinguishes tumors on the basis of chemical DNA modifications

November 14, 2022

DSP Best Paper Prize

BIFOLD researchers Prof. Klaus-Robert Müller, Prof. Wojciech Samek and Prof. Grégoire Montavon were honored by the journal Digital Signal Processing (DSP) with the 2022 Best Paper Prize. The DSP mention of excellence highlights important research findings published within the last five years.

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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.

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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

Prof. Dr. Begüm Demir

Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification

November 08 , 2022

https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9926002

Ahmed Osman, Prof. Dr. Klaus-Robert Müller, Prof. Dr. Grégoire Montavon, Prof. Dr. Wojciech Samek, Leila Arras

Explaining the Decisions of Convolutional and Recurrent Neural Networks. Mathematical Aspects of Deep Learning.

November 01 , 2022

https://iphome.hhi.de/samek/pdf/SamMADL22.pdf

Prof. Dr. Begüm Demir

Towards Simultaneous Image Compression and Indexing for Scalable Content-Based Retrieval in Remote Sensing

September 06 , 2022

https://doi.org/10.1109/TGRS.2022.3204914

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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.