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BIFOLD - Berlin Institute for the Foundations of Learning and Data
Groundbreaking foundational research in Big Data Management, Machine Learning, and their intersection. #AI #Research
About BIFOLD - Berlin Institute for the Foundations of Learning and Data
The Berlin Institute for the Foundations of Learning and Data (BIFOLD), has evolved in 2019 from the merger of two national Artificial Intelligence Competence Centers: the Berlin Big Data Center (BBDC) and the Berlin Center for Machine Learning (BZML). Embedded in the vibrant Berlin metropolitan area, BIFOLD provides an outstanding scientific environment and numerous collaboration opportunities for national and international researchers. BIFOLD offers a broad range of research topics as well as a platform for interdisciplinary research and knowledge exchange with the sciences and humanities, industry, startups and society. Data management (DM) and machine learning (ML) are the scientific and technical pillars powering the current wave of innovation in artificial intelligence (AI); it is the efficient processing and intelligent analysis of very large, complex, heterogeneous data that has the potential to revolutionize and substantially improve our lives and societies. BIFOLD conducts scalable yet agile foundational AI research. Furthermore, it addresses the emerging challenges and requirements created by the rapidly growing importance of data management and machine learning in practically all areas, from medicine, industry, natural sciences, humanities, e-commerce, and media, to government and society.
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Signals from BIFOLD - Berlin Institute for the Foundations of Learning and Data
2 published signals
Presence & Recognition
BIFOLD - Berlin Institute for the Foundations of Learning and Data announced that keynote speaker Prof. Dr. Iyad Rahwan will discuss the risk of moral distancing in AI delegation at the 2026 Berlin Summer School on Artificial Intelligence and Society.
Reported by BIFOLD - Berlin Institute for the Foundations of Learning and Data
Research & Knowledge
BIFOLD - Berlin Institute for the Foundations of Learning and Data published a preprint detailing the development of LUCAID, an AI system for supporting routine lung cancer workflows in pathology.
Reported by Alexander Möllers