Thanks a lot to Prof. Dr. Enrico Magli from Politecnico di Torino, Italy, for the great BIFOLD Colloquium today! He discussed the scenario of Edge-AI and recent developments in the fields of AI-based compression and inference. Among other things he described a new compression algorithm outperforming the most recent CCSDS standards, and a new architecture leveraging self-supervised learning to achieve state-of-the-art inference accuracy while requiring a limited set of labeled training data. 👏 Great Lecture!
BIFOLD - Berlin Institute for the Foundations of Learning and Data
Forschungsdienstleistungen
Berlin, Berlin 2.701 Follower:innen
Groundbreaking foundational research in Big Data Management, Machine Learning, and their intersection. #AI #Research
Info
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.
- Website
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https://www.bifold.berlin
Externer Link zu BIFOLD - Berlin Institute for the Foundations of Learning and Data
- Branche
- Forschungsdienstleistungen
- Größe
- 51–200 Beschäftigte
- Hauptsitz
- Berlin, Berlin
- Art
- Bildungseinrichtung
- Gegründet
- 2019
Orte
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Primär
Ernst-Reuter-Platz 7
c/o Technische Universität Berlin
Berlin, Berlin 10587, DE
Beschäftigte von BIFOLD - Berlin Institute for the Foundations of Learning and Data
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Georgios Smaragdakis
Professor of Computer Science at TU Delft
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Kaustubh Beedkar
Assistant Professor at the Indian Institute of Technology, Delhi
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Sebastian Schelter
Professor at BIFOLD & TU Berlin
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Mahir Özgören
Referent für Veranstaltungsmanagement @ Berlin Institute for the Foundations of Learning and Data (BIFOLD), TU-Berlin
Updates
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BIFOLD - Berlin Institute for the Foundations of Learning and Data hat dies direkt geteilt
Big News from the Lamarr Institute! 🔔 We're excited to share a new blog post on our #MLBlog, reflecting on the significance of the 2024 #NobelPrize in Physics awarded to John Hopfield and Geoffrey Hinton. 🌟 In this post, we explore why honoring these pioneers of artificial neural networks marks a historic moment for both AI and physics. 🤝 📚 What’s even more remarkable is that the Nobel Committee recognized a key publication involving our very own researchers. This work, in collaboration with the #IceCube neutrino detector project, resulted in the first neutrino image of the Milky Way 🌌, achieved with the contributions of our founding director Katharina Morik, our Area Chair Physics Wolfgang Rhode and Lamarr Alumni Dr. Mirco Hünnefeld. This acknowledgment not only highlights Lamarr’s critical role in advancing AI research but also showcases how our institute bridges #physics and #AI to drive scientific breakthroughs. ✨ 🔗 https://lnkd.in/dqd2RFTp #WeAreLamarr
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BIFOLD - Berlin Institute for the Foundations of Learning and Data hat dies direkt geteilt
During the #DigitalSummit2024, the director of ScaDS.AI Dresden/Leipzig, Prof. Erhard Rahm, gave an interview to MDR AKTUELL on the progress of digitalisation in Germany. 👉 Watch the full interview here: https://lnkd.in/ejfBrz7z
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Join us at Berlin Science Week 2024 👉https://lnkd.in/dV5aSA5
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Three BIFOLD graduate students participate in the "Machine-Learning-Based Sampling in Lattice Field Theory and Quantum Chemistry" workshop from October 21-25, 2024: Winfried Ripken, Khaled Kahouli, and Johannes Maeß. The workshop will be hosted by the Bethe Center for Theoretical Physics in Bonn, Germany. Two of the four workshop organizers have connections to BIFOLD: Dr. Kim A. Nicoli (The University of Bonn) is a BIFOLD alumnus, and Dr. Shinichi Nakajima (Technische Universität Berlin) is a research group lead at BIFOLD. The event aims to bring together leading researchers to address key challenges in generative machine-learning models, including scalability, interpretability, and uncertainty estimation. More information: https://lnkd.in/gqMnJq2C #BIFOLD #GraduateSchool #QuantumChemistry #CompChem #AI #MachineLearning 📸 Kim A. Nicoli
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Two days left: Join Enrico Magli at the BIFOLD Colloquium. His talk "Edge-AI for Compression and Inference in Space" will review the scenario of Edge-AI and present recent developments in AI-based compression and inference. Oct 23, 2024 10 AM Berlin, onsite only More Details below. #EdgeAI #RemoteSensing #SatelliteTech #AIinSpace #OnboardProcessing #AICompression #SelfSupervisedLearning #AIInference #DataCompression #CCSDS #SatelliteMissions #AIandSpaceTech #SpaceInnovation #AIinRemoteSensing #MachineLearning #BifoldColloquium Technische Universität Berlin
Join Enrico Magli at the BIFOLD Colloquium. His talk "Edge-AI for Compression and Inference in Space" will review the scenario of Edge-AI and present recent developments in AI-based compression and inference. Oct 23, 2024 10 AM Berlin, onsite only More Details below. #EdgeAI #RemoteSensing #SatelliteTech #AIinSpace #OnboardProcessing #AICompression #SelfSupervisedLearning #AIInference #DataCompression #CCSDS #SatelliteMissions #AIandSpaceTech #SpaceInnovation #AIinRemoteSensing #MachineLearning #BifoldColloquium Technische Universität Berlin
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BIFOLD - Berlin Institute for the Foundations of Learning and Data hat dies direkt geteilt
✨ Vom 01. - 10. November findet die Berlin Science Week statt! Über 200 Veranstaltungen verwandeln die Stadt in einen Hotspot für Wissenschaft, Kunst und Kultur. Wir sind als Partnerinstitution mittendrin! 💡 Interaktiver Workshop 📅 02.11.2024 um 14 Uhr 📍Museum für Naturkunde Berlin “Der virtuelle Ozean des Wissens - Eintauchen in die Zukunft der Wissensvermittlung” Hier erfahrt Ihr, wie virtuelle #Realitäten und #künstliche #Intelligenz die Zukunft der Wissensvermittlung verändern können. Gemeinsam entwickeln wir immersive #Zukunftsvisionen und erarbeiten, wie der Austausch zwischen Forschung und Gesellschaft in Zukunft aussehen könnte. Ganz wichtig dabei: Spaß, Kreativität und Austausch stehen im Mittelpunkt! 🔗 https://lnkd.in/ebm8ZSMN #BerlinScienceWeek24 #VirtuelleRealität #KI #Workshop #WissKomm
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BIFOLD - Berlin Institute for the Foundations of Learning and Data hat dies direkt geteilt
Auch dieses Jahr habe ich zum Magazin "Frauen machen Informatik" beitragen dürfen. Mein Artikel "Unpacking Large Language Models: Grundlagen, Perspektiven und Herausforderungen" erklärt die grundlegende Funktionsweise von LLMs und Methoden die Systemen wie ChatGPT erlauben auf externe Dokumente und Anwendungen zuzugreifen (RAG und Tool Use). Dabei gehe ich auch auf einige Fehlannahmen und im Kontext von LLMs irreführende aber oft verwendete Begrifflichkeiten ein, wie der der "Halluzination". GI-Mitglieder können hier auf den Artikel zugreifen: https://lnkd.in/epe2J_MY
Unser aktuelles Magazin „Frauen machen Informatik“ mit dem Schwerpunkt-Thema Large Language Models ist jetzt auch online verfügbar! 🎉 Die Hinweise dazu stehen auf der Webseite und das Magazin ist für alle Mitglieder in der digitalen Bibliothek der Gesellschaft für Informatik e.V. verfügbar. Viel Spaß beim Lesen! 🗞 Webseite: https://lnkd.in/eKRRWHGn Digitale Bibliothek (mit Anmeldung): https://lnkd.in/eD7DVti6
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BIFOLD - Berlin Institute for the Foundations of Learning and Data hat dies direkt geteilt
🚨 Call for Papers: 3rd International Workshop on Responsible AI Engineering (#RAIE2025) 🚨 📝 Submit your paper by November 11, 2024 and join us in shaping the future of responsible AI at RAIE 2025, part of the #ICSE2025 conference in Ottawa, Canada! 👉 https://lnkd.in/edHqtA29 This workshop will explore the challenges of building AI systems that are not only innovative but also trustworthy, ethical, and safe in their real-world applications. As AI technologies, especially large language models (LLMs), continue to evolve, the need for responsible AI has never been more pressing. 👨💻 Dr. Maximilian Poretschkin, Head of the Trustworthy AI Innovation Group at the Lamarr Institute and Head of AI assurance and certification at Fraunhofer IAIS, is part of the organizing committee and will help lead discussions on developing transparent and trustworthy AI systems that align with human values. 💡 Whether you're focused on AI governance, safety regulations, or new verification tools, this workshop offers the perfect platform to share and gain insights. ℹ️ Learn more about the workshop here: https://lnkd.in/eEd7_mTh #cfp #responsibleai #aisafety #aiengineering #softwareengineering | Qinghua Lu (CSIRO's Data61) Foutse Khomh (Polytechnique Montréal) Apostol Vassilev (National Institute of Standards and Technology (NIST)) Muneera Bano (CSIRO's Data61)
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BIFOLD - Berlin Institute for the Foundations of Learning and Data hat dies direkt geteilt
🚀 Ready to shape the future of AI & Data Science? Register now for #ADSA24, hosted by the Michigan Institute for Data and AI in Society 🌐 Register at https://loom.ly/wDQW4k4 The deadline to register has been extended to Monday, Oct. 21. This year’s theme: "Data Science & AI - Keeping Humans in the Loop." We’re diving into how humans play a central role as data creators, AI developers, and users. Don’t miss out on exploring the ethical, innovative, and human-centric dimensions of the data revolution. Be part of the conversation and ensure a future where technology aligns with our values. See you there! 🔍 #AI #DataScience #Conference #TechInnovations