Conférences - Calcul scientifique

Institute for Pure and Applied Mathematics (IPAM), UCLA

The aim of this program is to connect efforts of the mathematical and physical sciences communities to address the latest advances and new challenges on the understanding of multi-messenger astronomy. The IPAM program will comprise four workshops, each addressing a different topic: the generation of catalogs of waveform templates; the discussion of the mathematical modeling of the equations governing strong relativistic systems; parameter estimation of astrophysical sources of gravitational waves; and the state of the art of big data and deep learning techniques for GW data analysis.

Astronomie, astrophysique et cosmologie,    Physique des hautes énergies, des particules et des champs

Institute for Pure and Applied Mathematics (IPAM).

Part of the Long Program Mathematical and Computational Challenges in the Era of Gravitational Wave Astronomy

CIRM – Centre International de Rencontres Mathématiques

HSE Tikhonov Moscow Institute of Electronics and Mathematics

FIT-M - Is an effective working format of three sites, the joint result of which will allow you to quickly understand the main trends in the use of modern information technologies in the practice of scientific fundamental and applied research, industrial production management and business processes

Email.: info@fit-m.org

- Mathematical modeling and artificial intelligence in the natural sciences ✓ Algorithms and Applications of Machine Learning - Intelligent Decision Making and Applied Game Theory - Computational social science and network analysis - Digital humanities, computational philosophy, and computer science ✓ Multi-Agent Systems - Technological Mining - Testing of Complex Systems - Machine learning and plasma physics (Special Section)Mathematical modeling and artificial intelligence in the natural sciences ✓ Algorithms and Applications of Machine Learning - Intelligent Decision Making and Applied Game Theory - Computational social science and network analysis - Digital humanities, computational philosophy, and computer science ✓ Multi-Agent Systems - Technological Mining - Testing of Complex Systems - Machine learning and plasma physics (Special Section)

Evénement multidisciplinaires ou générales en informatique,    L'Internet des objets (IoT) et réseau de capteurs

The central aim of this conference is to explore multi-disciplinary research. It focuses on Quantum Computing and Quantum Simulations, Exa-scale Computing and its Applications, Metaheuristics in Science and Technology, Numerical Linear Algebraic Methods for Large Scale Scientific Computing, and Quantum Communications and Quantum Cryptography for Scientists, Researchers and Engineers. Its impact is already being felt in many areas of Sciences and Engineering disciplines. Current research in computational science requires multi-disciplinary knowledge, not only in sciences and engineering but also in technologies of computing. This conference offers academic researchers, developers and practitioners an opportunity to discuss various aspects of computational science and engineering related computational methods and problems solving techniques for science and engineering research.

Society of Exploration Geophysicists (SEG)

This workshop is designed to showcase the successes and challenges of practising machine learning and data analytics in the geoscience domain to improve accuracy and efficiency of algorithms and/or workflows. For example, in addition to existing applications such as seismic geobody identification and well log data analysis, what other challenging geoscience problems can be formulated and solved effectively by machine learning? How can machine learning algorithms and workflows be tailored to meet the specific physical constraints of geoscience data? How can we fully exploit the power of machine learning and physics-based approaches?

CZES-nd

The previous editions of ICCDA were held in Florida Polytechnic University, Lakeland, Northern Illinois University (NIU) DeKalb, University of Hawaii Maui College, Kahului, Silicon Valley, USA. ICCDA 2022 conference will be located in Sanya, China during Feb. 18-20, 2021.

Tél.: [+86 138 8010 4517];     Email.: Nazal@sina.com

Mathematical, probabilistic and statistical models and theories; Machine learning theories, models and systems; Knowledge discovery theories, models and systems; Manifold and metric learning; Deep learning; Scalable analysis and learning; Non-iidness learning; Heterogeneous data/information integration; Data pre-processing, sampling and reduction; Dimensionality reduction; Feature selection, transformation and construction; Large scale optimization; High performance computing for data analytics; Architecture, management and process for data science;

The SIAM Conference on Parallel Processing for Scientific Computing is sponsored by the SIAM Activity Group on Supercomputing.

The SAMO conference is devoted to advances in research on sensitivity analysis methods and their interdisciplinary applications. The SAMO conferences are held every three years. The aim of the SAMO conferences is to bring together users of sensitivity analysis in all disciplines of science. Sensitivity analysis methods are powerful tools in physics, operations research, chemistry, biology, engineering, environmental science, nuclear and industrial safety, economics and finance.

Statistique, Théorie des jeux,    Simulation

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Cours et évènements pour étudiants en mathématiques,    Algèbre

ICMS, Edinburgh

The organisers intend that this workshop will bring a better theoretical understanding of the convergence and stability of moving mesh and anisotropic mesh adaptation methods, which will aid future work in their design. In addition there will be a clearer understanding of their computational complexity and effectiveness when solving very large problems (for example three dimensional problems in gas or fluid dynamics), particularly when using parallel methods.This will allow a better implementation of these methods for challenging practical problems and in new application areas.

Society of Exploration Geophysicists (SEG)

This workshop will discuss the challenges, opportunities, and trends related to the adoption of ML in geoscience research and industrial workflows. Professionals from academia, environmental, energy, and technology companies will present applications and case studies, promote discussion, and propose practical solutions to take greater advantage of ML and AI methods.

Géophysique et géologie,    Réseaux de neurones et intelligence artificielle, apprentissage automatique

ICMS, Edinburgh

Structural break analysis is concerned with the detection and localization of abrupt changes in the data generating distribution in time series and spatial processes. Shape-constrained inference, on the other hand, focuses on automatic learning that adapts to unknown structures of signals. Both topics are well-established in statistics, but the recent explosion of data has resulted in challenges in both fields to find theoretically guaranteed and computationally efficient statistical tools to harness and exploit such structural patterns. These challenges are ubiquitous in many, diverse application areas, such as security monitoring, neuroimaging, financial trading, ecological statistics, climate change, medical condition monitoring, sensor networks, risk assessment for disease outbreaks, flu trend analysis, genetics, electro-physiology and many others.

In the last few years, we have witnessed a growing body of literature in both communities focusing on similar problems, but we are also aware that communication between the two areas could be improved. This workshop focuses on recent developments in structural break analysis and shape-constrained inference, aiming to create a platform to bring the two communities together.

BPS - The Biophysical Society

Beilstein-Institut

Since 1988, the Beilstein Bozen Symposia have addressed many different themes. In recent times the focus has been on selected interdisciplinary aspects of chemistry and biology.

Réseaux de neurones et intelligence artificielle, apprentissage automatique,    Simulation

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Cours et évènements pour étudiants en mathématiques,    Mathématiques appliquées (en général)

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

VSB – Technical University of Ostrava | Institute of Mathematics of the Czech Academy of Sciences | Technical University in Prague

The purpose of the meeting is to discuss recent developments in various aspects of domain decomposition methods bringing together mathematicians, computational scientists and engineers who are working on numerical analysis, scientific computing, high performance computing, and computational science with industrial applications.

Mathématiques appliquées (en général),    Mathématiques numériques

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Physique mathématique,    Réseaux de neurones et intelligence artificielle, apprentissage automatique

Physique numérique,    Mathématiques appliquées (en général)

FLoC 2022

The ITP conference series is concerned with all aspects of interactive theorem proving, ranging from theoretical foundations to implementation aspects and applications in program verification, security, and the formalization of mathematics. ITP 2022 is the thirteenth conference on Interactive Theorem Proving. It will be part of the Federated Logic Conference (FLoC). It will take place in Haifa, Israel, July 31 – August 12, 2022.

Logique mathématique et fondements,    Démonstration automatique de théorèmes

ISMP is the triennial international congress of mathematical optimization and organized by the Mathematical Optimization Society (MOS). The 24th ISMP will be convened in Beijing and locally organized by the Operations Research Society of China (ORSC).

The goal of this long program proposal is to bring together senior and junior applied mathematicians, physicists, chemists, materials scientists, engineers and biologists to discuss and debate on the current status and future perspectives of modern microscopy using computation, mathematics and modeling. Cryo-EM has revolutionized biology and life science (including very recently solving the 3D atomic structure of COVID-19, which has been greatly facilitating the development of the vaccines) and aberration-corrected electron optics and high brightness X-ray sources have transformed physical science imaging. The next steps in these fields will advance by orders of magnitude the temporal resolution and energy resolution, while maintaining atomic spatial resolution, in a variety of sample environments from near zero Kelvin in vacuum to temperatures of a thousand degrees in a highly corrosive atmosphere. These advances will transform research in macromolecules, materials, energy technologie

Mathématiques appliquées (en général),    Microscopie

Mathématiques appliquées (en général),    Théorie de l'information, fondations de l'informatique

Developing multi-dimensional electron microscopy would have transformative impact in physics, chemistry, materials science, nanoscience and other fields. Advancing the field requires integration of state-of-the-art atomic electron tomography, ptychography, 4D scanning transmission electron microscopy and spectroscopic techniques as well as powerful computational algorithms and mathematical modeling. This workshop will provide the opportunity to present and exchange ideas, share data, and introduce new tools and develop new imaging paradigms needed in a variety of fields.

Mathématiques appliquées (en général),    Microscopie

The implementation of advanced algorithms with user-friendly software packages has made the cryo-EM method straightforward in practice. Despite these exciting advances, major challenges still remain, such as higher throughput, mapping continuous deformations, reconstruction of small macromolecules, and in sample preparation. For pleomorphic structures, cryo-electron tomography (cryo-ET) is the method of choice, but it is typically limited to lower resolution compared to cryo-EM, and it remains a daunting challenge to determine macromolecular structures in situ at high resolution. Overcoming these major challenges in cryo-EM and cryo-ET requires significant advances in sample preparation, hardware development and computational algorithms. The goal of this workshop is to bring together leading experts in cryo-EM, biologists, applied mathematicians and physicists to discuss and debate the current challenges and future perspectives of this very exciting cross-disciplinary field.

Mathématiques appliquées (en général),    Microscopie

Society for Industrial and Applied Mathematics (SIAM)

The aim of this program is to foster the development of new mathematical tools and formalisms that will enable a new generation of ultra-scalable algorithms for a broad range of applications in computational materials science. Topics of interest will include strategies for scalable single-scale simulations, novel massively-parallel scale-bridging algorithms, and integration of extreme-scale computing into experimental and data science workflows. The program will bring together applied mathematicians, materials scientists, computer scientists, and method developers interested in unlocking the potential of upcoming exascale architectures through novel mathematical approaches.

UC Santa Barbara, Kavli Institute for Theoretical Physics (KITP)

This conference aims to explore the application of data-driven tools to learn about galaxy formation physics. It endeavors to maximize the gain from astrostatistics, data science, and machine learning for the galaxy formation field as a whole, by emphasizing the translation of data-driven results to physical understanding. This conference will focus on a sharing of expertise in data exploration and analysis tools, and an open discussion of how these may teach us about the physics of galaxy formation and evolution.

The organizers of the XVI International Conference on Stochastic Programming (ICSP2022) are honored to host the tri-annual Conference at the University of California, Davis Graduate School of Management. The ICSP is the premier event of the Stochastic Programming Society (SPS) , a technical session of the Mathematical Optimization Society that brings together researchers who work on decisions under uncertainty, practitioners in the industrial and institutional sectors share recent theoretical and applied results. The conference aims to present the state-of-the-art in this field as well as neighboring scientific areas.