Conférences  >  Mathématiques  >  Réseaux de neurones et intelligence artificielle, apprentissage automatique  >  Allemagne

Sélecionner un pays
1
Machine Learning for Science: Mathematics at the Interface of Data-driven and Mechanistic Modelling
11 jui 2023 - 17 jui 2026 • Oberwolfach, Allemagne
Organisateur:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Identifiant de l'évènement:
1494926
2
Dagstuhl-Seminar — Resource-Efficient Machine Learning
28 jul 2024 - 02 aou 2024 • Schloss Dagstuhl, Wadern, Allemagne
Organisateur:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Résumé:
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.
Identifiant de l'évènement:
1566141
Sujets apparentés:
3
Dagstuhl-Seminar — Artificial Intelligence and Formal Methods Join Forces for Reliable Autonomy
01 sep 2024 - 06 sep 2024 • Schloss Dagstuhl, Wadern, Allemagne
Organisateur:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Résumé:
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.
Identifiant de l'évènement:
1566200
4
School — PAC (probably approximately correct) learning and Boolean Harmonic Analysis
16 sep 2024 - 20 sep 2024 • Bonn, Allemagne
Organisateur:
The Hausdorff Research Institute for Mathematics (HIM)
Résumé:
The interaction between learning theory and harmonic analysis was emphasized by mathematics of quantum computing. One of the outstanding open problems in this area concerns the sharp estimates in Bohnenblust-Hille inequality that generalizes a celebrated Littlewood’s lemma. How to learn (with small error and with large probability) a complicated function or a very large matrix in a relatively small number of random (quantum) queries? Of course, there should be some Fourier type restrictions on a function (a matrix) to have a reasonable answer to this. The “classical” way of learning (Boolean) functions comes from very sophisticated extensions of theorems of Kahn—Kalai—Linial type. In those results the interplay between maximal influence and heavy Fourier tails is the main technique. Maximal influence should be large if the `tail’ is small. However, recently another approach that is hinged on Bohnenblust—Hille inequality appeared. The school will cover the classical maximal influence approach to `probably approximately correct' (PAC) learning as well as the recent achievements using Bohnenblust—Hille inequality and its quantum counterpart.
Identifiant de l'évènement:
1623256
5
Institute 2024 — Artificial and Human Intelligence
22 sep 2024 - 24 sep 2024 • Schloss Dagstuhl, Wadern, Allemagne
Organisateur:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Résumé:
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.
Identifiant de l'évènement:
1566287
Sujets apparentés:
6
Deep Learning for PDE-based Inverse Problems
27 oct 2024 - 01 nov 2024 • Oberwolfach, Allemagne
Organisateur:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Identifiant de l'évènement:
1529866
7
Dagstuhl Research Meeting — A long-term strategy for NFDI for DataScience and Artificial Intelligence
28 oct 2024 - 29 oct 2024 • Schloss Dagstuhl, Wadern, Allemagne
Organisateur:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Résumé:
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.
Identifiant de l'évènement:
1566240
8
ML4QT — 2nd Workshop of Machine Learning for Quantum Technology
05 nov 2024 - 08 nov 2024 • Erlangen, Allemagne
Organisateur:
Max Planck Institute for the Science of Light
Résumé:
In the "2nd Workshop on Machine Learning for Quantum Technology" we aim to attract researchers interested in the use of classical ML/AI techniques to advance the development of quantum technologies in a broad sense. Some examples would be analyzing quantum measurements, estimating the parameters of quantum devices, discovering new quantum experimental setups, protocols, and feedback strategies, and generally improving aspects of quantum computing, quantum communication, and quantum simulation. See the review paper here for more relevant topics. We will also cover some quantum machine learning topics and their interconnections with classical machine learning.
Identifiant de l'évènement:
1620361
9
Dagstuhl-Seminar — Rethinking the Role of Bayesianism in the Age of Modern AI
10 nov 2024 - 15 nov 2024 • Schloss Dagstuhl, Wadern, Allemagne
Organisateur:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Résumé:
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.
Identifiant de l'évènement:
1589422
Sujets apparentés:
10
Dagstuhl-Seminar — Deep Learning for RNA Regulation and Multidimensional Transcriptomics
01 dec 2024 - 06 dec 2024 • Schloss Dagstuhl, Wadern, Allemagne
Organisateur:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Résumé:
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.
Identifiant de l'évènement:
1589371
11
Dagstuhl-Seminar — Trust and Accountability in Knowledge Graph-Based AI for Self Determination
26 jan 2025 - 31 jan 2025 • Schloss Dagstuhl, Wadern, Allemagne
Organisateur:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Sujets:
Artificial Intelligence, Computers and Society, Databases, Trust, Transparency, Accountability, Knowledge Graphs, Web Data
Identifiant de l'évènement:
1589849
12
Overparametrization, Regularization, Identifiability and Uncertainty in Machine Learning
26 jan 2025 - 31 jan 2025 • Oberwolfach, Allemagne
Sujets:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Identifiant de l'évènement:
1605135
13
Dagstuhl-Seminar — Logic and Neural Networks
02 fév 2025 - 07 fév 2025 • Schloss Dagstuhl – Wadern, Allemagne
Organisateur:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH
Résumé:
Logic and learning are central to Computer Science, and in particular to AI-related research. Already Alan Turing envisioned in his 1950 “Computing Machinery and Intelligence” paper a combination of statistical (ab initio) machine learning and an “unemotional” symbolic language such as logic. The combination of logic and learning has received new impetus from the spectacular success of deep learning systems. The goal of this Dagstuhl Seminar is to bring together researchers from various communities related to utilizing logical constraints in deep learning and to create bridges between them via the exchange of ideas.
Identifiant de l'évènement:
1626238
14
Dagstuhl-Seminar — What You Hear is What You See? Integrating Sonification and Visualization
09 fév 2025 - 14 fév 2025 • Schloss Dagstuhl – Wadern, Allemagne
Organisateur:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH
Résumé:
In our daily lives, we as humans perceive our surroundings in an inherently multimodal way. Nevertheless, the vast majority of data analysis idioms are exclusively visual, not using the apparent potential of combined designs. While the visualization field studies visual data analysis solutions, the sonification field investigates comparable solutions that convey data over non-speech audio. There are several similarities between the methods and design theories of both approaches, such as the use of perceptual variables to encode data attributes, the use of marks and substrates for conveying items, and the role of interaction in manipulating the data representations. Over the recent decades, both fields have established research communities, theoretical frameworks, and toolkit support.
Identifiant de l'évènement:
1626279
15
Workshop — Machine Learning for Quantum Matter
24 fév 2025 - 28 fév 2025 • Dresden , Allemagne
Organisateur:
Max Planck Institute for the Physics of Complex Systems (MPI-PKS)
Identifiant de l'évènement:
1600395
16
Frontiers of Statistics and Machine Learning
23 mar 2025 - 28 mar 2025 • Oberwolfach, Allemagne
Sujets:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Identifiant de l'évènement:
1605194
Sujets apparentés:
17
Computation and Learning in High Dimensions
17 aou 2025 - 22 aou 2025 • Oberwolfach, Allemagne
Sujets:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Identifiant de l'évènement:
1605395
18
Stein’s Method in Stochastic Geometry, Statistical Learning, and Optimisation
24 aou 2025 - 29 aou 2025 • Oberwolfach, Allemagne
Sujets:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Identifiant de l'évènement:
1605404


Conference-Service.com met à la disposition de ses visiteurs des listes de conférences et réunions dans le domaine scientifique. Ces listes sont publiées pour le bénéfice des personnes qui cherchent une conférence, mais aussi, bien sûr, pour celui des organisateurs. Noter que, malgré tout le soin que nous apportons à la vérification des données entrées dans nos listes, nous ne pouvons accepter de responsabilité en ce qui concerne leur exactitude ou étendue. Pensez donc à vérifier les informations présentées avec les organisateurs de la conférence ou de la réunion avant de vous engager à y participer!

Y'a pas de suivi | Y'a pas de pop-ups | Y'a pas d'animations
Dernière mise à jour: 27 juin 2024