Bifold – The Berlin Institute for the Foundations of Learning and Data

Making the role of AI in Medicine Explainable

BIFOLD researcher developed a new tissue-section analysis system for diagnosing breast cancer based on Artificial Intelligence. The system explains the Machine Learning decision process in the form of heatmaps.

Building with Molecules

A cooperation project of FZ Jülich and Prof. Dr. Klaus-Robert Müller on manipulation of molecules through Reinforced Learning was announced as a Falling Walls Science Breakthrough of the Year in the category "Engineering and Technology".

AI robot excels in Olympic sport

A Deep Reinforced Learning framework, developed by BIFOLD Co-director Prof. Dr. Klaus-Robert Müller and his colleagues at Korea University, enabled the robot “Curly” to beat top-level athletes in the Olympic sport of curling.

Latest News

2021-06-11ACM SIGMOD 2021: 7 Data Management Papers Accepted

2021-05-31New cutting-edge IT Infrastructure

2021-05-12New BIFOLD Research Groups established

2021-05-05BIFOLD Graduate School launches its first cohort with 12 PhD candidates

2021-04-29Using Math to Reduce Energy Consumption

2021-04-21ICDE 2021 honors BIFOLD researchers with Best Paper Award

2021-04-20BTW 2021 Best Paper Award and Reproducibility Badge for TU Berlin Data Science Publication

2021-04-19Tapping into Nature’s Wisdom

Events

June2021

Trustworthy AI: Himabindu LakkarajuOnline workshop, moderated by Dr. Samek. Part of a workshop series at the AI for Good Global Summit.

15:00 CETVirtual Event

Mission Statement and Goals

BIFOLD, the Berlin Institute for the Foundations of Learning and Data aims to conduct research into the scientific foundations of Big Data and Machine Learning, to advance AI application development, and greatly increase the impact to society, the economy, and science.

BIFOLD will pursue the following strategic priorities in line with the German National AI Strategy:

Research: Conduct high-impact foundational research in the fields of Big Data, Machine Learning and their intersection, to profoundly advance the state-of-the-art in Big Data and Machine Learning methods and technologies as well as attract the world’s best scientists to Germany.
Innovation: Prototype AI technologies, Big Data systems, Data Science tools, Machine Learning algorithms, and support knowledge and technology exchange, to empower innovation in the sciences, humanities, and companies, particularly, startups.
Education: Prepare the next generation of experts in Big Data and Machine Learning, for future academic or industrial careers.