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1
Machine Learning for Science: Mathematics at the Interface of Data-driven and Mechanistic Modelling
11. Jun 2023 - 17. Jun 2026 • Oberwolfach, Deutschland
Veranstalter:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Eintrags-ID:
1494871
2
Dagstuhl-Seminar — Trustworthiness and Responsibility in AI – Causality, Learning, and Verification
17. Mär 2024 - 22. Mär 2024 • Schloss Dagstuhl, Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Zusammenfassung:
The purpose of the seminar will be to initiate a debate around both theoretical foundations and practical methodologies for a "Trustworthiness & Responsibility in AI" framework that integrates quantifiable responsibility and verifiable correctness into all stages of the software engineering process. Such a framework will allow governance and regulatory practises to be viewed not only as rules and regulations imposed from afar, but instead as an integrative process of dialogue and discovery to understand why an autonomous system might fail and how to help designers and regulators address these through proactive governance. In particular, we will consider how to reason about responsibility, blame, and causal factors affecting the trustworthiness of the system.
Eintrags-ID:
1566017
3
Dagstuhl-Seminar — Methods and Tools for the Engineering and Assurance of Safe Autonomous Systems
07. Apr 2024 - 12. Apr 2024 • Schloss Dagstuhl, Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Zusammenfassung:
Autonomous systems are intended to operate without human intervention over prolonged time periods, perceive their operating environment, and adapt to changes – while pursuing defined goals or generating new ones. The perception functions process the inputs of various sensors and generate an internal model of the operating environment. By relying on this model, the decision functions plan and execute the actions required to achieve the goals of the mission. To achieve safety for an autonomous system, the engineers should ensure that the perception functions can sufficiently accurately build the model of the environment, i.e., perception and establishing a context for prediction are reliable. They also seek to ensure that the planned actions are safe, i.e., decisions do not result in actions that endanger humans or other agents in the operating environment.
Eintrags-ID:
1566059
4
Machine Learning Conference for X-Ray and Neutron-Based Experiments
08. Apr 2024 - 10. Apr 2024 • Garching, Deutschland
Zusammenfassung:
From April 8 to 10, 2024 the Heinz Maier-Leibnitz Zentrum (MLZ) located in Garching near Munich will host the Machine Learning Conference for X-Ray and Neutron-Based Experiments. The first two days (April 8/9) will take place at the Community Center (Bürgerhaus) Garching with all participants. The third day (April 10) offers optional hands-on workshops and reactor tours at the site of research neutron source FRM II for all interested participants.
Eintrags-ID:
1568325
5
Dagstuhl-Seminar — Generalization by People and Machines
05. Mai 2024 - 08. Mai 2024 • Schloss Dagstuhl, Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Zusammenfassung:
This Dagstuhl Seminar provides a unique opportunity for discussing the discrepancy between human and AI generalization mechanisms and crafting a vision on how to align the two streams in a compelling and promising way that combines the strengths of both. To ensure an effective seminar, we aim to bring together cross-disciplinary perspectives across computer and cognitive science fields. Our participants will include experts in Interpretable Machine Learning, Neuro-Symbolic Reasoning, Explainable AI, Commonsense Reasoning, Case-based Reasoning, Analogy, Cognitive Science, and Human-Computer Interaction. Specifically, the seminar will focus on the following questions: How can cognitive mechanisms in people be used to inspire generalization in AI? What Machine Learning methods hold the promise to enable such reasoning mechanisms? What is the role of data and knowledge engineering for AI and human generalization? How can we design and model human-AI teams that can benefit from their complementary generalization capabilities? How can we evaluate generalization in humans and AI in a satisfactory manner?
Themen:
Interpretable Machine Learning, Human-AI Collaboration, Cognitive Science, Neuro-Symbolic Reasoning, Explainability
Eintrags-ID:
1589703
6
Dagstuhl-Seminar — Stochastic Games
02. Jun 2024 - 07. Jun 2024 • Schloss Dagstuhl, Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Zusammenfassung:
The fundamental and simple model of Stochastic Games was introduced in the fifties by prominent mathematicians (Shapley, Bellman) and form today a well adopted and thoroughly studied notion, with applications in computer science, mathematics, economics, and beyond. This wide adoption implies that many different research communities are involved in the study of stochastic games, oftentimes with different but related goals. Each community develops different tools towards understanding stochastic games, leading to a very broad and diverse literature with a variety of techniques and approaches. The goal of this Dagstuhl Seminar is to bring together researchers interested in the algorithmic aspects of Stochastic Games, from a theoretical as well as practical perspective.
Eintrags-ID:
1566117
Verwandte Fachgebiete:
7
Beilstein Bozen Symposium — AI in Chemistry and Biology: Evolution or Revolution?
04. Jun 2024 - 06. Jun 2024 • Rüdesheim, Deutschland
Zusammenfassung:
This symposium will treat the impact of Artificial intelligence (AI) and Machine Learning (ML) on chemistry and biology, including drug design. The underlying theme of the discussions will be what we can now do with AI and ML that we couldn’t do before. For instance, is AI simply a new interpolation method in the old traditional computer-aided drug design (CADD)? Are the methods applied nowadays intransparent in contrast to the those applied in the early days? How can we combine the development and application of new materials with AI-generated knowledebases? How much can AI help in the prediction and retro-synthesis of new chemical compounds, and how useful are these compounds? Still, the quality of published data matters as meaningful AI applications depend on the availability of high-quality test datasets.
Eintrags-ID:
1587491
8
Statistics and Learning Theory in the Era of Artificial Intelligence
23. Jun 2024 - 28. Jun 2024 • Oberwolfach, Deutschland
Veranstalter:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Eintrags-ID:
1529671
9
Dagstuhl-Seminar — Computational Creativity for Game Development
23. Jun 2024 - 28. Jun 2024 • Schloss Dagstuhl, Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Zusammenfassung:
Game design and implementation are tasks which require a high amount of creativity, and which must lead to products which require a high amount of fine-tuned functionality. For example, a game “level” should not only look appealing, it should also be playable and it should be interesting to play. These are not features which can be acquired simply by “training on big data”, which is what most developments in modern artificial intelligence are based on. The goal of this Dagstuhl Seminar is to investigate to what extent modern artificial intelligence techniques can produce meaningful and functional game content, and what changes to or extensions of these techniques can improve this AI-driven creative process.
Eintrags-ID:
1566124
10
MLCon — MLCon Munich
25. Jun 2024 - 28. Jun 2024 • München, Deutschland
Veranstalter:
Software & Support Media GmbH
Zusammenfassung:
Welcome to MLCon Munich 2024! From June 25 to 28, 2024, immerse yourself in the world of machine learning and artificial intelligence. MLCon brings together experts and enthusiasts for a four-day deep dive into the latest trends, algorithms, and applications in ML and AI. Learn from industry leaders who will share cutting-edge insights, best practices, and real-world case studies to advance your knowledge and expertise in ML and AI technologies. Engage with the ML community, exchange ideas, and explore the exhibition area featuring innovative tools and solutions shaping the future of machine learning. Whether you're a seasoned ML practitioner or just starting your journey, MLCon Munich 2024 offers valuable insights, networking opportunities, and a chance to stay at the forefront of machine learning and artificial intelligence.
Kontakt:
Tel.: [017693102012];     Email: marketing@sandsmedia.com
Themen:
Generative AI and LLMs, MLOps, ChatGPT, ML Business & Strategy, ML Basics & Principles, Advanced ML Development, ML Tools, APIs & Frameworks, ML Strategy Day
Eintrags-ID:
1611118
11
Dagstuhl Research Meeting — Applied Machine Intelligence 2024
26. Jun 2024 - 28. Jun 2024 • Schloss Dagstuhl, Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Zusammenfassung:
The workshop addresses all application aspects of artificial intelligence from symbolic methods of semantic technologies to sub-symbolic methods of machine learning, neuro-symbolic and hybrid approaches combining symbolic and non-symbolic methods. The focus of this workshop series is on the practical use of these methods to solve real-world application problems.
Eintrags-ID:
1589580
12
Dagstuhl-Seminar — Resource-Efficient Machine Learning
28. Jul 2024 - 02. Aug 2024 • Schloss Dagstuhl, Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Zusammenfassung:
This seminar aims at reasoning critically about how we build software and hardware for end-to-end machine learning. We hope that the discussions will lead to increased awareness for understanding the utilization of modern hardware and kickstart future developments to minimize hardware underutilization. We thus would like to bring together academics and industry across fields of data management, machine learning, systems, and computer architecture covering expertise of algorithmic optimizations in machine learning, job scheduling and resource management in distributed computing, parallel computing, and data management and processing. The outcome of the discussions in the seminar will therefore also positively impact the research groups and companies that rely on machine learning.
Eintrags-ID:
1566229
Verwandte Fachgebiete:
13
Dagstuhl-Seminar — Artificial Intelligence and Formal Methods Join Forces for Reliable Autonomy
01. Sep 2024 - 06. Sep 2024 • Schloss Dagstuhl, Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Zusammenfassung:
AI is a disruptive force. With growing applications in fields like healthcare, transportation, game playing, finance, or robotics in general, AI systems and methods are entering our everyday lives. Such tight interaction with AI requires serious safety, correctness, and reliability considerations. Recently, the field of safety in AI has triggered a vast amount of research. Via a diverse program with ample space for open yet guided discussion, we aim to address a number of key challenges that range across all fields.
Eintrags-ID:
1566222
14
Institute 2024 — Artificial and Human Intelligence
22. Sep 2024 - 24. Sep 2024 • Schloss Dagstuhl, Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Zusammenfassung:
Institute 2024 has an overarching focus on Next-Generation Human-Centred AI and Cognitive Technologies; its technical programme addresses the formal & cognitive foundations for human-centred computing (for AI), and the human-centred design, development, and usability of cognitive technologies aimed at human-in-the-loop assistance & empowerment in decision-making, planning, creative-technical problem-solving, and automation. Application areas to be addressed in the institute include autonomous vehicles, cognitive robotics, social robotics, cognitive/creative design assistance technologies (e.g., architecture and built environment design, visuo-auditory narrative media design), clinical diagnostics, technology-assisted education/learning.
Eintrags-ID:
1566210
Verwandte Fachgebiete:
15
Deep Learning for PDE-based Inverse Problems
27. Okt 2024 - 01. Nov 2024 • Oberwolfach, Deutschland
Veranstalter:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Eintrags-ID:
1529844
16
Dagstuhl Research Meeting — A long-term strategy for NFDI for DataScience and Artificial Intelligence
28. Okt 2024 - 29. Okt 2024 • Schloss Dagstuhl, Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Zusammenfassung:
The vision of NFDI4DS is to support all steps of the complex and interdisciplinary research data lifecycle in Data Science and Artificial Intelligence. The overarching objective of NFDI4DS is the development, establishment, and sustainment of a national research data infrastructure for the Data Science and Artificial Intelligence community. The key idea is to work towards increasing the transparency, reproducibility and fairness of Data Science and Artificial Intelligence projects, by making all digital artifacts available, interlinking them, and offering innovative tools and services. Within this Dagstuhl Research Meeting, the NFDI4DS partners will reflect on their progress so far, and will work on their long-term strategy.
Eintrags-ID:
1566317
17
Dagstuhl-Seminar — Rethinking the Role of Bayesianism in the Age of Modern AI
10. Nov 2024 - 15. Nov 2024 • Schloss Dagstuhl, Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Zusammenfassung:
Non-Bayesian approaches appear to solve many problems that Bayesians once dreamt of solving using Bayesian methods. We thus believe that it is timely and important to rethink and redefine the promises and challenges of Bayesian approaches; and also to elucidate which Bayesian methods might prevail against their non-Bayesian competitors; and finally identify key application areas where Bayes can shine.
Eintrags-ID:
1589411
Verwandte Fachgebiete:
18
Dagstuhl-Seminar — Deep Learning for RNA Regulation and Multidimensional Transcriptomics
01. Dez 2024 - 06. Dez 2024 • Schloss Dagstuhl, Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Zusammenfassung:
At the Dagstuhl Seminar on RNA Regulation and Multidimensional Transcriptomics, we will delve into the intersection of computational biology, deep learning, and RNA research. The event will explore how cutting-edge AI technologies are reshaping our understanding of RNA-based gene regulation and its role in health and disease.
Eintrags-ID:
1589393
19
Dagstuhl-Seminar — Trust and Accountability in Knowledge Graph-Based AI for Self Determination
26. Jan 2025 - 31. Jan 2025 • Schloss Dagstuhl, Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Themen:
Artificial Intelligence, Computers and Society, Databases, Trust, Transparency, Accountability, Knowledge Graphs, Web Data
Eintrags-ID:
1589838
20
Overparametrization, Regularization, Identifiability and Uncertainty in Machine Learning
26. Jan 2025 - 31. Jan 2025 • Oberwolfach, Deutschland
Themen:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Eintrags-ID:
1605146
21
Workshop — Machine Learning for Quantum Matter
24. Feb 2025 - 28. Feb 2025 • Dresden , Deutschland
Veranstalter:
Max Planck Institute for the Physics of Complex Systems (MPI-PKS)
Eintrags-ID:
1600351
22
Frontiers of Statistics and Machine Learning
23. Mär 2025 - 28. Mär 2025 • Oberwolfach, Deutschland
Themen:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Eintrags-ID:
1605161
Verwandte Fachgebiete:
23
Computation and Learning in High Dimensions
17. Aug 2025 - 22. Aug 2025 • Oberwolfach, Deutschland
Themen:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Eintrags-ID:
1605340
24
Stein’s Method in Stochastic Geometry, Statistical Learning, and Optimisation
24. Aug 2025 - 29. Aug 2025 • Oberwolfach, Deutschland
Themen:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Eintrags-ID:
1605426


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