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1
LVTALABARR — Live Training – Anomaly Detection & Introduction to Fraud Modelling
08 fév 2023 • Boston, États-Unis
Organisateur:
Open Data Science Conference
Résumé:
The Association of Fraud Examiners (ACFE) consistently estimates that organizations lose approximately 5% of their revenues due to fraud. Based on world GDP estimates, this would be anywhere from $3-4 trillion annually. Fraud is one of the most interesting problems to try and solve because the people in your data are not trying to be found. Data science techniques are now at the forefront of this industry to help fight the battle against criminals. This course outlines the typical fraud framework at an organization and where data science can play a role. It will also lay out how to build an analytically advanced fraud system at an organization. Moving beyond just simple rules and anomaly detection, these supervised and unsupervised approaches to fraud modeling will help an organization combat the every present problem of fraud. These fraud modeling approaches can also be used in other industries to help organizations find unique customers or problems that might exist in their current systems.
Contact:
Email.: iryna@odsc.com
Sujets:
Fraud Detection, Data Science
Identifiant de l'évènement:
1535477
2
Gordon Research Seminar — Quantitative Genetics and Genomics
11 fév 2023 - 12 fév 2023 • Ventura, CA, États-Unis
Résumé:
The focus of this year’s meeting is the opportunities and challenges in working with high-throughput phenotyping data. High-throughput phenotyping data encompasses, but is not limited to: omics, sensor and imaging data, electronic health records, activity monitoring, and sequencing. We will discuss the insights we gain into genetics of complex traits using diverse datasets, the challenges we need to overcome, and the opportunities for future research. Statistical, computational, and experimental methods, as well as results stemming from their application, will be presented.
Sujets:
Opportunities and Challenges in Using High-Throughput Phenotyping in Quantitative Genetics and Genomics
Identifiant de l'évènement:
1505741
Sujets apparentés:
3
Gordon Research Conference — Quantitative Genetics and Genomics
12 fév 2023 - 17 fév 2023 • Ventura, CA, États-Unis
Résumé:
The Quantitative Genetics and Genomics GRC is a premier, international scientific conference focused on advancing the frontiers of science through the presentation of cutting-edge and unpublished research, prioritizing time for discussion after each talk and fostering informal interactions among scientists of all career stages. The conference program includes a diverse range of speakers and discussion leaders from institutions and organizations worldwide, concentrating on the latest developments in the field. The conference is five days long and held in a remote location to increase the sense of camaraderie and create scientific communities, with lasting collaborations and friendships. In addition to premier talks, the conference has designated time for poster sessions from individuals of all career stages, and afternoon free time and communal meals allow for informal networking opportunities with leaders in the field.
Sujets:
Leveraging High-Throughput Phenotyping Techniques to Study Complex Traits
Identifiant de l'évènement:
1505869
Sujets apparentés:
4
CSE23 — SIAM Conference on Computational Science and Engineering
26 fév 2023 - 03 mar 2023 • Amsterdam, Pays-Bas
Organisateur:
Society for Industrial and Applied Mathematics (SIAM)
Identifiant de l'évènement:
1443149
5
MCNP6® intermediate course
27 fév 2023 - 03 mar 2023 • Paris , France
Organisateur:
Nuclear Energy Agency (NEA)
Résumé:
This intermediate course is designed for people who have some experience in running MCNP Monte Carlo calculations, but who would like to refresh or advance their skills. Provided examples will be assembled, executed, and examined. Time will be available throughout the week to discuss individual questions and problems with MCNP experts. If time permits, details on more advanced features in the code can be discussed at the attendee’s request.
Sujets:
New features in MCNP6.3, Brief refresher of basic concepts, Geometry: universes, lattices, repeated structures, Source definitions: repeated sources, surface source read/write, Tallies: repeated tallies, perturbation tallies, pulse-height tallies, Variance reduction: using weight windows and/or DXTRAN, Building & Using MCNP Tools
Identifiant de l'évènement:
1530840
Sujets apparentés:
6
MCNP6® advanced course
06 mar 2023 - 10 mar 2023 • Paris , France
Organisateur:
Nuclear Energy Agency (NEA)
Résumé:
This advanced course is designed for people who have experience in running MCNP Monte Carlo calculations, but who would like to advance their skills and develop greater depth of understanding of theory and use techniques. Provided examples will be assembled, executed, and examined. Time will be available throughout the week to discuss individual questions and problems with MCNP experts. If time permits, details on more advanced features in the code can be discussed at the attendee’s request.
Sujets:
New features in MCNP6.3, Brief refresher of basic concepts, Geometry: unstructured mesh (UM) and hybrid (CSG+UM) geometry, Source definitions: k-eigenvalue-to-fixed-source bootstrapping, Variance reduction: tally diagnostics and biasing, weight-window generation, Criticality: eigenvalue convergence acceleration & assessment; benchmarking, Python-based quantitative and qualitative post-processing techniques
Identifiant de l'évènement:
1530894
Sujets apparentés:
7
New Mathematics for the Exascale: Applications to Materials Science
13 mar 2023 - 16 jui 2023 • Institute for Pure and Applied Mathematics (IPAM), Los Angeles, États-Unis
Résumé:
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.
Identifiant de l'évènement:
1435905
Sujets apparentés:
8
Workshop — New Mathematics for the Exascale: Applications to Materials Science Tutorials
14 mar 2023 - 17 mar 2023 • Los Angeles, CA, États-Unis
Organisateur:
Institute for Pure and Applied Mathematics (IPAM), UCLA
Identifiant de l'évènement:
1501728
Sujets apparentés:
9
BIRS Workshop — Mathematical Approaches of Atmospheric Constituents Data Assimilation and Inverse Modeling
19 mar 2023 - 24 mar 2023 • Banff, Alberta, Canada
Organisateur:
Banff International Research Station (BIRS) for Mathematical Innovation and Discovery
Résumé:
As the world population lives more and more in large urban areas, and as we are about to reach critical levels of greenhouse gases concentrations, the changing atmospheric composition has increasingly important economic, environmental and health impacts. It is thus becoming important to better quantify air pollution and its sources, using all the available information from observations to computer models, and use it in a synergistic way to maximize the information content – this is what data assimilation and inverse modeling aim for. This interdisciplinary workshop brings together engineers and researchers from numerical mathematics, statistics, and environmental sciences, to develop and innovate on the assimilation and inverse methods to address the specific issues related to atmospheric composition and chemistry. It will also be a forum to train new scientists in this emerging field, and to promote the research towards new operational monitoring products.
Identifiant de l'évènement:
1498958
10
Galaxy Formation and Evolution in the Data Science Era
21 mar 2023 - 24 mar 2023 • Santa Barbara, États-Unis
Organisateur:
UC Santa Barbara, Kavli Institute for Theoretical Physics (KITP)
Résumé:
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.
Identifiant de l'évènement:
1448617
11
ICME 2023 — 7th World Congress on Integrated Computational Materials Engineering
21 mar 2023 - 25 mar 2023 • Orlando, Florida, États-Unis
Organisateur:
The Minerals, Metals & Materials Society (TMS)
Résumé:
The 7th World Congress on Integrated Computational Materials Engineering (ICME 2023) convenes leading researchers and practitioners to share the latest knowledge and advances in the discipline. This congress is the recognized hub of interaction among software developers and process engineers along the entire production chain, as well as for materials scientists and engineers developing new materials. This is the only congress dedicated to bringing all stakeholders together from across nations, disciplines, and organizations to focus on integration priorities and gaps that need to be addressed in order to advance the field. ICME 2023 will benefit researchers, software developers, metallurgists, materials scientists and engineers, process engineers, senior scientists, chief technology officers, and a variety of others working in R&D. Attendees will gain insights on recent advances and discuss opportunities to overcome challenges in the field.
Date limite de soumission des résumés:
05 dec 2022
Identifiant de l'évènement:
1504671
12
tinyML Summit
27 mar 2023 - 29 mar 2023 • Burlingame, CA, États-Unis
Résumé:
Tiny machine learning is broadly defined as a fast growing field of machine learning technologies and applications including hardware, algorithms and software capable of performing on-device sensor data analytics at extremely low power, typically in the mW range and below, and hence enabling a variety of always-on use-cases and targeting battery operated devices.
Identifiant de l'évènement:
1513771
13
Workshop I: Increasing the Length, Time, and Accuracy of Materials Modeling Using Exascale Computing
27 mar 2023 - 31 mar 2023 • Los Angeles, CA, États-Unis
Organisateur:
Institute for Pure and Applied Mathematics (IPAM), UCLA
Résumé:
The vast majority of the computing power available to the materials science community is consumed by a relatively small number of workhorse methods, such as molecular dynamics and density functional theory. These methods have been adapted to run on parallel platforms for decades, but the focus has firmly been on weak-scaling, i.e., on scaling the problem size with the number of processors. While high-performance weak-scaling implementations of these methods are extremely valuable, the focus on increasing length-scales limits opportunities for scientific discovery. Transformative impact requires the capability to leverage computing resources to simultaneously and flexibly increase length scales, time scales, and accuracy. Increasing simulation timescales requires a deep understanding of the mathematics of rare in order to inform novel methods that are specially tailored from the start, as well as strong-scaling computational engines that can leverage large computational resources on problems of relatively small sizes. This requires a dramatic rethinking of how basic algorithms in materials science are derived and implemented. Similarly, the exponential increase in computer resources now enables very high accuracy simulations with methods such as coupled clusters or quantum Monte Carlo. These methods are extremely powerful, but they tend to scale poorly with the number of electrons. The development of new flexible methods where accuracy can be systematically adjusted in order to modify the tradeoff between size and time scales would therefore be extremely beneficial. This workshop will focus on recent development of new mathematical approaches to intensive calculations at massive scale with a focus on new ways to improve scalability (both weak and strong) and extend simulations along the size, time, and accuracy axes simultaneously.
Sujets:
Part of the Long Program New Mathematics for the Exascale: Applications to Materials Science, Integration of direct simulations, online data analysis, and experimental data. Mathematical methods for data assimilation. Large-scale inverse problems. Computation-aided online experimental design at massive scales. Active exploration of chemical space using massive quantum calculations. Workflow infrastructure. Integration of numerically-intensive calculations with ML/data-science at scale.
Identifiant de l'évènement:
1501672
14
Analyse et simulation de systèmes métastables
03 avr 2023 - 07 avr 2023 • CIRM (Marseille Luminy), France
Organisateur:
CIRM – Centre International de Rencontres Mathématiques
Résumé:
The workshop will bring together both experienced researchers and promising young scientists from different scientific backgrounds, interested in the interplay between theoretical and applied research. It will promote the participation of male and female researchers with a good gender balance among speakers. The conference will place an emphasis on the connections between the areas and on directions for future research. We expect a high-level and high-impact event which will inspire new collaborations and will open new research directions.
Identifiant de l'évènement:
1502930
Sujets apparentés:
15
Workshop II: Scale-Bridging Materials Modeling at Extreme Computational Scales
17 avr 2023 - 21 avr 2023 • Institute for Pure and Applied Mathematics, UCLA, États-Unis
Organisateur:
Institute for Pure and Applied Mathematics, UCLA.
Résumé:
Quantitatively predicting the properties of “real” structural materials is an extremely challenging endeavor, as macroscale properties depend on characteristics of the material at every scale, from nanometers (short range order, point defects, etc.), to micrometers (grain size, extended defects, etc.), to centimeters (texture, etc.). Similarly, relevant timescales range from atomic vibrations (picoseconds) to microstructural evolution times (hours to years). This extreme breadth of size and time scales makes the accurate simulations with fully-resolved atomic-scale tools (e.g., molecular dynamics) hopeless. Practical solutions must therefore rely on scale-bridging approaches that systematically upscale the lower scale physics into computationally tractable higher-scale constructs. The premise of this workshop is that extreme-scale computing can breathe new life into the field of multiscale modeling by addressing the problems identified above with brute force computing. This workshop will focus on new mathematical approaches to multiscale/multiphysics modeling, with a particular emphasis on the many theoretical and numerical challenges faced at the exascale. The goal is to bring together specialists in a range of massively parallel algorithms and researchers interested in improving the scalability of current techniques.
Sujets:
Part of the Long Program New Mathematics for the Exascale: Applications to Materials Science, Integration of direct simulations, online data analysis, and experimental data. Mathematical methods for data assimilation. Large-scale inverse problems. Computation-aided online experimental design at massive scales. Active exploration of chemical space using massive quantum calculations. Workflow infrastructure. Integration of numerically-intensive calculations with ML/data-science at scale.
Identifiant de l'évènement:
1484021
16
Workshop DDEW03 — Computational Challenges and Emerging Tools
24 avr 2023 - 28 avr 2023 • Cambridge , Royaume-Uni
Organisateur:
Isaac Newton Institute for Mathematical Sciences (INI)
Résumé:
In tandem with the workshop on Mathematical Foundations, this week-long workshop will focus on algorithms and methodology to address key tasks in data-driven engineering. A particular focus of this workshop will be on highlighting computational challenges in the application areas of the DDE programme (aeronautics, chemical engineering, and civil and environmental engineering) and showcasing promising emerging tools.
Sujets:
data assimilation and statistical inverse problems, reinforcement learning and control, model order reduction, bridging mechanistic and data-driven models and methods
Identifiant de l'évènement:
1519732
17
NMEWS3 — Workshop III: Complex Scientific Workflows at Extreme Computational Scales
01 mai 2023 - 05 mai 2023 • Los Angeles, CA, États-Unis
Organisateur:
Institute for Pure and Applied Mathematics (IPAM)
Résumé:
One of the key changes in the landscape of high-performance computing in materials science in the last decade is the explosion of high-throughput applications where massive amounts of relatively small quantum calculations fuel the rapid exploration of the chemical space of materials. Such high throughput workflows are prime candidates for the efficient exploitation of exascale resources. This workshop proposes to build on these early successes and to take the next logical step by exploring the challenges and opportunities associated with integrating massive-scale compute-intensive simulations into a wider range of complex scientific workflows. The underlying goal is to identify and explore opportunities to maximize the impact of large-scale computing by improving its integration with various aspects of the scientific enterprise. This workshop will aim at developing new mathematical and computational approaches that enable the inclusion of massive-scale computing into complex scientific workflows.
Sujets:
Part of the Long Program New Mathematics for the Exascale: Applications to Materials Science, Integration of direct simulations, online data analysis, and experimental data. Mathematical methods for data assimilation. Large-scale inverse problems. Computation-aided online experimental design at massive scales. Active exploration of chemical space using massive quantum calculations. Workflow infrastructure. Integration of numerically-intensive calculations with ML/data-science at scale.
Identifiant de l'évènement:
1484001
18
MEDES 2023 — 15th International Conference on Management of Digital EcoSystems
05 mai 2023 - 07 mai 2023 • Heraklion, Crete, Grèce
Organisateur:
Lyon 1 University (France), Univ. Pau & Pays Adour (France), Technical University of Crete (Greece)
Résumé:
The International Conference on Management of Digital EcoSystems (MEDES) aims to develop and bring together a diverse community from academia, research laboratories, and industry interested in exploring the manifold challenges and issues related to web technologies and resource management of Digital Ecosystems and how current approaches and technologies can be evolved and adapted to this end. The conference seeks related original research papers, industrial papers, and proposals for demonstrations, tutorials, and workshops.
Contact:
Email.: contact.formore@proton.me
Sujets:
Digital Ecosystem Infrastructure, Data & Knowledge Management, Computational and Collective Intelligence, Semantic Computing, Software ecosystems for software engineering, Big Data, Services, Trust, Security & Privacy, Software Engineering, Internet of Things and Intelligent Web, Cyber Physical Systems, Social and Collaborative Platforms, Human-Computer Interaction, Open Source, Applications (Logistics, Energy, Healthcare, Environment, Smart Cities, Digital Humanities, Robotics, etc.), Complex Systems and Networks.
Date limite de soumission des résumés:
01 mar 2023
Identifiant de l'évènement:
1533320
19
IDEAS 2023 — 27th International Database Engineering & Applications Symposium
05 mai 2023 - 07 mai 2023 • Heraklion, Crete, Grèce
Organisateur:
Open University of Cyprus; University of Pau and the Adour Region; SIGAPPFR.org; Concordia University, Montreal, Canada; with the cooperation of ACM, BytePress and ConfSys.
Résumé:
The annual IDEAS conference is a top international forum for data engineering researchers, practitioners, developers, and application users to explore revolutionary ideas and results, and to exchange techniques, tools, and experiences. We invite participation of all interested in this event, which provides an insight into original research contributions relating to all aspects of database engineering defined broadly, and particularly topics of emerging interest describing work on integrating new technologies into products and applications, on experiences with existing and novel techniques, and on the identification of unsolved challenges. In particular, IDEAS-2023 will be collocated with MEDES-2023 conference, aiming at further cross-fertilization.
Contact:
Email.: contact.formore@proton.me
Sujets:
Big Data Applications and Scalable Analytics, Biomedical and Health Informatics, Business Intelligence and Analytics, Data Analytics in Government, Public Sector and Society, Data Integration, Record Linkage and Data Fusion, Data Management in Grid and Cloud Systems, Data Mining and Knowledge Discovery Systems and Applications, Data Warehousing and OLAP, Data Sharing and Privacy, Data Quality, Cleaning and Provenance, Digital Libraries, Electronic Commerce and Web Technologies, Information Extraction and Unstructured Data, Link and Graph Mining, Mobile and Web Data, Open and Linked Data, Privacy, Security and Trust in Social Media, Semantic Web and Ontologies, Sensory Data and Internet of Things, Smart Cities and Urban Data Analytics, Social Media and Social networks, Social Data Analytics, Statistical and Scientific Data, Stream, Spatial and Temporal and Dimensional Data, Trust, Privacy and Security in Digital Business and Society, Web and Cyber Security,
Date limite de soumission des résumés:
01 fév 2023
Identifiant de l'évènement:
1533584
20
CMO/Banff Workshop — Computational Biology meets Data Science
07 mai 2023 - 12 mai 2023 • Oaxaca, Mexique
Organisateur:
Casa Matemática Oaxaca (CMO)
Résumé:
With the advances of high-throughput technologies, genomics and related fields are hitting the thick data era. Many problems in biology cannot be studied with traditional and exact methods, and the development and application of tailored methods to analyze rich and large-scale biological datasets are still lagging behind. In addition, diverse layers of knowledge in genomics, such as transcriptomics, epigenomics, proteomics and metabolomics need to be integrated and studied jointly with multi-omics approaches to unfold the complex mechanisms of biological systems and organisms. Sparked with creative solutions from data science, computational and data scientists can contribute to the development and implementation of innovative solutions to extract, wrangle, visualize, analyze and store complex data resulting from high-throughput technologies with efficient, transparent and reproducible analytical pipelines.
Identifiant de l'évènement:
1503600
21
Statistical Foundations of Data Science and their Applications
08 mai 2023 - 10 mai 2023 • Princeton, New Jersey, États-Unis
Organisateur:
Princeton University
Résumé:
International Conference on Statistical Foundations of Data Science and their Applications will be held at Princeton University in May 8-10, 2023. The conference will bring together collaborators and leading researchers in statistics and data science. The conference will provide an excellent forum for scientific communications and promote collaborations among researchers in statistics and data science. The program covers a wide range of topics presenting recent developments and the state of the art in a variety of modern research topics on statistics and data science as well as their applications.
Identifiant de l'évènement:
1521426
22
INMS Workshop — Mathematical Foundations for Data-driven Engineering
08 mai 2023 - 12 mai 2023 • ICMS, Edinburgh, Royaume-Uni
Organisateur:
ICMS - International Centre for Mathematical Sciences
Résumé:
This workshop is part of the Isaac Newton Institute programme on The mathematical and statistical foundation of future data-driven engineering. A particular focus of this workshop will be on the underlying mathematical and statistical foundations required to make computational tools efficient and transferable.
Sujets:
data assimilation and statistical inverse problems, reinforcement learning and control, model order reduction, bridging mechanistic and data-driven models and methods.
Identifiant de l'évènement:
1514012
23
Workshop DDEW04 — Mathematical Foundations
08 mai 2023 - 12 mai 2023 • Edinburgh, Royaume-Uni
Organisateur:
Isaac Newton Institute for Mathematical Sciences (INI)
Résumé:
In tandem with the workshop on Computational Challenges and Emerging Tools, this week-long workshop will focus on algorithms and methodology to address key tasks in data-driven engineering. A particular focus of this workshop will be on the underlying mathematical and statistical foundations required to make computational tools efficient and transferable.
Sujets:
data assimilation and statistical inverse problems, reinforcement learning and control, model order reduction, bridging mechanistic and data-driven models and methods
Identifiant de l'évènement:
1519799
24
Optimal Transport in Data Science
08 mai 2023 - 12 mai 2023 • Providence, Rhode Island, États-Unis
Organisateur:
ICERM
Résumé:
This workshop will focus on the intersection of mathematics, statistics, machine learning, and computation, when viewed through the lens of optimal transport (OT). Mathematical topics will include low-dimensional models for OT, linearizations of OT, and the geometry of OT including gradient flows and gradient descent in the space of measures. Relevant statistical topics will include reliable and efficient estimation of OT plans in high dimensions, the role of regularization in computing OT distances and plans, with applications to robust statistics, uncertainty quantification, and overparameterized machine learning. Computation will be a recurring theme of the workshop, with emphasis on the development of fast algorithms and applications to computational biology, high energy physics, material science, spatio-temporal modeling, natural language processing, and image processing.
Contact:
Program Staff;     Tél.: [1-401-863-5030];     Email.: programstaff@icerm.brown.edu
Identifiant de l'évènement:
1518080
25
CHEP 2023 — 26th International Conference on Computing in High Energy & Nuclear Physics
08 mai 2023 - 12 mai 2023 • Norfolk, VA, États-Unis
Résumé:
The CHEP conferences address the computing, networking and software issues for the world’s leading data‐intensive science experiments that currently analyze hundreds of petabytes of data using worldwide computing resources. The Conference provides a unique opportunity for computing experts across Particle and Nuclear Physics to come together to learn from each other and typically attracts over 500 participants. The event features plenary sessions, parallel sessions, and poster presentations; it publishes peer-reviewed proceedings. The focus of the conference evolves with time to highlight changing technologies and major scientific initiatives.
Identifiant de l'évènement:
1522330
Sujets apparentés:
26
EMBL Course — Whole transcriptome data analysis
21 mai 2023 - 26 mai 2023 • EMBL Heidelberg, Allemagne
Organisateur:
European Molecular Biology Laboratory | EMBL
Résumé:
This course will teach the biological researchers how to analyse biological data sets using open-source software. Most of the analysis will be performed with docker4seq and rCASC packages, which was developed to facilitate the use of computing demanding applications in the field of NGS data analysis. Docker4seq and rCASC packages use docker containers that embed demanding computing tasks (e.g. short reads mapping) into isolated containers. This approach provides multiple advantages: the user does not need to install all the software on its local server, the results generated by different containers can be organised in pipelines and reproducible research is guarantee by the possibility of sharing the docker images used for the analysis. Computers for hands-on exercises will be provided along with demo data sets.
Identifiant de l'évènement:
1528894
Sujets apparentés:
27
Working Party on Scientific Issues and Uncertainty Analysis of Reactor Systems — WPRS Benchmarks Workshop 2023
22 mai 2023 - 26 mai 2023 • Bologna, Italie
Organisateur:
Nuclear Energy Agency (NEA)
Résumé:
The annual Benchmark Workshop of the Working Party on Scientific Issues and Uncertainty Analysis of Reactor Systems will be hosted in 2023 by the Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA) in Bologna, Italy. During the week of 22 May - 26 May 2023 the participants of different WPRS reactor physics benchmark activities will meet, exchange results and discuss future activities. A meeting of the Cobra-TF user group will also be organised. 
Identifiant de l'évènement:
1530959
Sujets apparentés:
28
Workshop IV: Co-design for the Exascale and IPAM Hackathon
22 mai 2023 - 26 mai 2023 • Los Angeles, CA, États-Unis
Organisateur:
Institute for Pure and Applied Mathematics (IPAM), UCLA
Résumé:
The final workshop of this program will be an event designed to promote the generation of tangible products from the long program and to explore the best practices in setting up a computational co-design process that ranges from derivation of the key formalisms, to the design of the computational approach, and finally to its implementation. The vision of the program is that the long-term participants will self-organize into working groups designed to identify, analyze, and solve key problems that impede the effective use of extremescale computing in materials science. In order to ensure that these advances make their way into the hands of the community at large, this IPAM “hackathon” will gather code developers, mathematicians, method developers, and computer scientists and engineers from the computer vendors for a week of discussion, hands-on development, and implementation of the new ideas generated during the program. A key objective will be to ensure the transition from “research” codes into “production” codes that can be used and further improved by the community. As such, significant parts of the workshop will involve participants organizing into working groups in order to solve (or take the first steps in solving) practical issues that will have been raised throughout the program. The workshop will include a short series of talks where lead developers of various projects will share their experience and processes when attacking new problems related to evolving architectures, either in terms of new mathematical formalism, increasing computational scales, and architectural details.
Sujets:
Part of the Long Program New Mathematics for the Exascale: Applications to Materials Science, Integration of direct simulations, online data analysis, and experimental data. Mathematical methods for data assimilation. Large-scale inverse problems. Computation-aided online experimental design at massive scales. Active exploration of chemical space using massive quantum calculations. Workflow infrastructure. Integration of numerically-intensive calculations with ML/data-science at scale.
Identifiant de l'évènement:
1501715
Sujets apparentés:
29
11th EGU Galileo Conference: The Solid Earth and Geohazards in the Exascale Era
23 mai 2023 - 26 mai 2023 • Barcelona, Espagne
Organisateur:
European Geosciences Union (EGU)
Résumé:
With the birth of geosciences and then of computational geosciences, people's attitude towards the world has changed. People are no longer passive observers but rather more proactive players in their environment and the knowledge gained from computational geosciences has been used to save lives and prepare for future scenarios. Now, with the Exascale computing era dawning upon us, even more accurate, clearer and faster data will be within our reach.
Identifiant de l'évènement:
1514833
30
ErUM Data Hub: ErUM-Data Sustainability, Expert Workshop
30 mai 2023 - 02 jui 2023 • Meinerzhagen, Allemagne
Résumé:
Mit dem Ziel, den Herausforderungen der Digitalisierung in der naturwissenschaftlichen Grundlagenforschung schnell und zukunftsorientiert zu begegnen und exzellente Forschung in und aus Deutschland zu fördern, legt das Bundesministerium für Bildung und Forschung (BMBF) als Teil des 2017 veröffentlichten Rahmenprogramms „Erforschung von Universum und Materie – ErUM“ den Aktionsplan ErUM-Data fest. Der Aktionsplan ErUM-Data schafft Voraussetzungen für die naturwissenschaftliche Grundlagenforschung von morgen und fördert eine koordinierte Herangehensweise und breite Verständigung. Langfristiges Ziel ist es, den Weg zu übergeordneten Lösungen zu ebnen und optimale Bedingungen für eine effiziente und finanzierbare Datenverarbeitung und -verwertung zu schaffen. Der einfache Zugang zu Daten und Werkzeugen ist eine zentrale Säule des Aktionsplans. 
Identifiant de l'évènement:
1531611
Sujets apparentés:
31
Workshop — Decomposing Multivariate Information in Complex Systems
05 jui 2023 - 09 jui 2023 • Dresden , Allemagne
Organisateur:
Max Planck Institute for the Physics of Complex Systems
Identifiant de l'évènement:
1526712
32
Differentiable and Probabilistic Programming for Fundamental Physics
05 jui 2023 - 30 jui 2023 • Munich, Allemagne
Organisateur:
MIAPbP - Munich Institute for Astro-, Particle and BioPhysics
Résumé:
Domains such as cosmology, astrophysics, nuclear or particle physics rely heavily on the use of stochastic simulation to design data analyses and perform inference with respect to fundamental physics theories. With the advances of Deep Learning, Bayesian inference techniques, a new frontier has come into view that focuses on the extension of traditional scientific programming along the two distinct directions of differentiable programming and probabilistic programming. The former plays an important role in navigating high-dimensional spaces, while the latter can manifestly incorporate generative modeling and inference into scientific data analyses. Both promise to expand the science reach of data-intensive domains through, e.g., the integration of domain knowledge and symmetries into neural networks, algorithmic robustness, alignment of science and training optimization goals, uncertainty quantification, causal inference, and more complete inference. However, most production scientific pipelines are not yet compatible with these techniques and their widespread adoption would represent a deep change in the scientific software landscape. This program will provide the opportunity for researchers from Computer Science and Fundamental Physics to develop applications as well as strategies for integrating these paradigms into existing scientific workflows and to close the gap of what is theoretically possible and practically deployed.
Identifiant de l'évènement:
1507162
33
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:
1494937
34
IGA 2023 — 11th International Conference on Isogeometric Analysis
18 jui 2023 - 21 jui 2023 • Lyon, France
Résumé:
The 11th International Conference on Isogeometric Analysis (IGA 2023) will be organized in Lyon, France, on 18-21 June 2023. IGA 2023 is a meeting place for scientists focusing on isogeometric methods : researcher developing computational methods, engineers addressing challenging applications, ... The conference is one of the thematic conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS).
Contact:
Email.: https://iga2023.sciencesconf.org/
Identifiant de l'évènement:
1504688
35
ESCAPE-33 — 33rd European Symposium on Computer-Aided Process Engineering
18 jui 2023 - 21 jui 2023 • Athènes , Grèce
Organisateur:
The ESCAPE-33 event is organized under the auspices of the European Federation of Chemical Engineering (EFCE Event No. 776), the CAPE Working Party (CAPE-WP), the Technical Chamber of Greece, the Pan Hellenic Association of Chemical Engineers, and the National Technical University of Athens.
Résumé:
ESCAPE-33 anticipates emerging and significant challenges in Process Systems Engineering as these relate to the sustainable development of chemical processes, the development and the systematic evaluation of processing technologies and process innovations, and research promoting circular economy paradigms including social aspects and social engagement networks to incentivize and involve citizens. ESCAPE 33 recognizes particular importance to industrial biotechnology as a driver and enabler for new chemistries, alongside data engineering as a technological challenge with an apparent impact on many systems technologies.
Identifiant de l'évènement:
1535711
Sujets apparentés:
36
ErUM Data Hub: Advanced Deep Learning Train-the-Trainer Workshop
19 jui 2023 - 20 jui 2023 • TU Dortmund, Allemagne
Résumé:
Mit dem Ziel, den Herausforderungen der Digitalisierung in der naturwissenschaftlichen Grundlagenforschung schnell und zukunftsorientiert zu begegnen und exzellente Forschung in und aus Deutschland zu fördern, legt das Bundesministerium für Bildung und Forschung (BMBF) als Teil des 2017 veröffentlichten Rahmenprogramms „Erforschung von Universum und Materie – ErUM“ den Aktionsplan ErUM-Data fest. Der Aktionsplan ErUM-Data schafft Voraussetzungen für die naturwissenschaftliche Grundlagenforschung von morgen und fördert eine koordinierte Herangehensweise und breite Verständigung. Langfristiges Ziel ist es, den Weg zu übergeordneten Lösungen zu ebnen und optimale Bedingungen für eine effiziente und finanzierbare Datenverarbeitung und -verwertung zu schaffen. Der einfache Zugang zu Daten und Werkzeugen ist eine zentrale Säule des Aktionsplans. 
Identifiant de l'évènement:
1531643
37
Beilstein Glyco-Bioinformatics Symposium 2023
20 jui 2023 - 22 jui 2023 • Limburg, Allemagne
Résumé:
Since 2009 the Glyco-Bioinformatics Symposium aims at establishing a network of experts in glycochemistry, biology, bioinformatics and computer sciences. In addition, it provides a platform to discuss the latest outcomes presented by the MIRAGE Commission.
Sujets:
Unparalleled diversity and functionality of the glycome
Identifiant de l'évènement:
1526269
38
From Impact Factor to Influence Factor: Data Science and Policy for Social Justice
20 jui 2023 - 23 jui 2023 • Providence, Rhode Island, États-Unis
Organisateur:
ICERM
Résumé:
How can quantitative science inform policy decisions? This workshop is designed to help mathematicians and data scientists leverage their expertise to contribute positively to social justice efforts ranging from small town issues to global concerns. It is intended for those interested in data science, mathematical modeling, and policy interventions. The main technical skill that the workshop will focus on is data storytelling, specifically with an eye towards policy. Data storytelling includes a mix of rhetorical and technical skills. On the technical side, these skills include data visualization, conclusion description, crafting human stories from data (example: the “middle third” technique), all done effectively and ethically, with an eye toward the audience and purpose of the communication. Participants will be exposed to other technical skills through four projects, each of which will have its own project leadership team. In advance of the workshop, participants will be asked to review the project topics and the technical skills each project is meant to develop and will be asked to rank order their group preferences. The plan over the 4-day period is broken into two days of presentations with active participation and exercises, one day of group work on a team project, and one day of presentations/feedback/next steps.
Contact:
Program Staff;     Tél.: [1-401-863-5030];     Email.: programstaff@icerm.brown.edu
Identifiant de l'évènement:
1519502
39
Data Science and Social Justice: Networks, Policy, and Education (Part II)
20 jui 2023 - 28 jul 2023 • Providence, Rhode Island, États-Unis
Organisateur:
ICERM
Résumé:
In Summer 2023, ICERM hosts the second of two summer programs entitled The Social Justice and Data Science Summer Research Program. This program aims to increase interest, research training, and capacity for data science for social justice, and to develop both quantitative and qualitative approaches to those professional practices that call for community engagement, critical inquiry, and interdisciplinary cooperation. Building off of Summer 2022's program, which included a workshop on network science and analysis as well as foundational conversations with community partners, the Summer 2023 program will advance the mathematics community's understanding of the complexity of computational social justice work through three emphasis areas (1) policy, (2) education, and (3) community-driven research. As a new field emerges at the face of computational and applied mathematics and social justice, this requires new methods for working across community lines. In order to address the novel and interdisciplinary problems arising out of community needs, participants will work together to develop new or refine existing computational methods whose applications may be broader than the original problem. The organizers are committed to working with humility and in solidarity with one another and with the local community. The program will include engagement with the local community and invest in the education of the next generation of researchers by driving the development and direction of new computational methods for quantitative social justice research. Researchers with expertise and interests in using mathematical models and/or data science to examine social justice issues in policy and/or education are particularly encouraged to apply. The organizers also seek applications from researchers with specialties in digital humanities, computational social science, and data science education.
Contact:
Program Staff;     Tél.: [1-401-863-5030];     Email.: programstaff@icerm.brown.edu
Identifiant de l'évènement:
1508620
40
PASC '23 — Platform for Advanced Scientific Computing Conference
26 jui 2023 - 28 jui 2023 • Davos, Suisse
Organisateur:
Association for Computing Machinery (ACM)
Identifiant de l'évènement:
1535938
41
TOPICAL WORKSHOP 2023 — The Road to Differentiable and Probabilistic Programming in Fundamental Physics
26 jui 2023 - 28 jui 2023 • Munich, Allemagne
Organisateur:
MIAPbP - Munich Institute for Astro-, Particle and BioPhysics
Résumé:
We are happy to announce that the Differentiable and Probabilistic Programming for Fundamental Physics program includes a three day workshop. The workshop will contain talks about recent advancements in differentiable programming (DP) and probabilistic programming in the context of Physical Sciences. The workshop's diverse set of invited speakers will cover DP/ProbProg users and experts, toolmakers and authors of promising technologies. The workshop aims to explore the potential science impact of DP/ProbProg and to understand the steps towards, and challenges of, a successful implementation of these paradigms in fundamental physics.
Identifiant de l'évènement:
1507249
42
BIRS Workshop — Single-cell plus – data science challenges in single-cell research
02 jul 2023 - 07 jul 2023 • Banff, Alberta, Canada
Organisateur:
Banff International Research Station (BIRS) for Mathematical Innovation and Discovery
Résumé:
Cells are the fundamental building blocks of life. Recent advancement in biotechnology has allowed us to peek inside this every cell for better understanding of biology and human disease. Single-cell technology also generates big and complex data and brings about new data science challenges for computational and life scientists. The objective of this workshop is to bring together international leaders in diverse disciplines including mathematical, statistical, computational, biological and medical in a collaborative atmosphere to develop the collaborative capacity that will tackle various underlying data science challenges in single-cell research.
Identifiant de l'évènement:
1499159
Sujets apparentés:
43
NASCA23 — Numerical Analysis and Scientific Computing with Applications
03 jul 2023 - 06 jul 2023 • Athènes , Grèce
Organisateur:
National and Kapodistrian University of Athens (NKUA) and Littoral Côte d’Opale (ULCO) University in France.
Résumé:
The aim of this conference is to bring together researchers working in numerical analysis, scientific computation and applications. Participants will present and discuss their latest results in this area.
Contact:
LMPA, ULCO, 50 rue F. Buisson, Calais France;     Tél.: [0626622981];     Email.: jbilou@univ-littoral.fr
Sujets:
Numerical and Multilinear Algebra, Maching Learning, Optimization, Numerical Methods and Analysis of PDEs, Approximation, Domain Decomposition methods, Inverse and Ill-posed problems for image processing, Computational Statistics.
Identifiant de l'évènement:
1517003
44
MDA 2023 — 18th International Conference on Mass Data Analysis of Images and Signals
08 jul 2023 - 11 jul 2023 • New York, États-Unis
Résumé:
The International Conference on Mass Data Analysis of Images and Signals in Artificial Intelligence and Pattern Recognition MDA 2023 with Applications in Medicine, r/g/b Biotechnology, Food Industries and Dietetics, Biometry, Agriculture, Drug Discovery, and System Biology is held on yearly basis.
Sujets:
Applications in Medicine, r/g/b Biotechnology, Food Industries and Dietetics, Biometry and Security, Agriculture, Drug Discover, and System Biology
Identifiant de l'évènement:
1534835
45
BIRS Workshop — 3D Generative Models
09 jul 2023 - 14 jul 2023 • Banff, Alberta, Canada
Organisateur:
Banff International Research Station (BIRS) for Mathematical Innovation and Discovery
Résumé:
In this workshop, we will explore how the research realms of generative modelling and 3D neural representations can benefit from each other, as well as explore novel applications in different areas of science and technology.
Identifiant de l'évènement:
1499103
46
Summer Graduate School — Mathematics of Big Data: Sketching and (Multi-) Linear Algebra
10 jul 2023 - 11 jul 2023 • IBM, Almaden , États-Unis
Organisateur:
Mathematical Sciences Research Institute (MSRI)
Résumé:
This summer school will introduce graduate students to sketching-based approaches to computational linear and multi-linear algebra. Sketching here refers to a set of techniques for compressing a matrix, to one with fewer rows, or columns, or entries, usually via various kinds of random linear maps. We will discuss matrix computations, tensor algebras, and such sketching techniques, together with their applications and analysis.
Identifiant de l'évènement:
1515711
47
Gordon Research Conference — Visualization in Science and Education
16 jul 2023 - 21 jul 2023 • Bates College, Lewiston, États-Unis
48
Educating at the Intersection of Data Science and Social Justice
17 jul 2023 - 21 jul 2023 • Providence, Rhode Island, États-Unis
Organisateur:
ICERM
Résumé:
This workshop is designed to highlight the intersections between data science and social justice in K-16 education. The goals of this workshop are to 1) explore, and identify avenues to expand, current research on and methods for using data science in education; 2) raise awareness about research on issues of social justice in education and teaching pedagogy; and 3) work with community partners to create, evaluate and disseminate new K-16 curricular materials. The week will focus on integrating computational social justice research methods, open problems, and best practices across different levels of training. Participants will collaborate on curating professional artifacts, such as: articulating collections of open problems in data science research in social justice; compiling a collection of computational social justice research projects; and developing course modules suitable for use in K-16 education. The results of these collaborations will be shared publicly by the organizers and participants to achieve the broadest impact. While the workshop will be open to and beneficial for all researchers and educators who teach computationally focused courses, priority will be given to early-career faculty and advanced graduate students.
Contact:
Program Staff;     Tél.: [1-401-863-5030];     Email.: programstaff@icerm.brown.edu
Identifiant de l'évènement:
1519589
Sujets apparentés:
49
Apprentissage automatique scientifique
17 jul 2023 - 25 aou 2023 • CIRM (Marseille Luminy), France
Organisateur:
CIRM – Centre International de Rencontres Mathématiques
Identifiant de l'évènement:
1532529
50
PEARC '23 — Practice and Experience in Advanced Research Computing
23 jul 2023 - 27 jul 2023 • Portland, Oregon, États-Unis
Organisateur:
The PEARC conference series is sponsored by the Association for Computing Machinery (ACM) and its HPC and Applications special interest groups (SIGAPP and SIGHPC).
Identifiant de l'évènement:
1505221
51
XVI International Conference on Stochastic Programming
24 jul 2023 - 28 jul 2023 • Davis, CA, États-Unis
Résumé:
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.
Identifiant de l'évènement:
1433483
52
ErUM Data Hub: Deep Learning School Basic Concepts
07 aou 2023 - 11 aou 2023 • Meinerzhagen, Allemagne
Résumé:
Mit dem Ziel, den Herausforderungen der Digitalisierung in der naturwissenschaftlichen Grundlagenforschung schnell und zukunftsorientiert zu begegnen und exzellente Forschung in und aus Deutschland zu fördern, legt das Bundesministerium für Bildung und Forschung (BMBF) als Teil des 2017 veröffentlichten Rahmenprogramms „Erforschung von Universum und Materie – ErUM“ den Aktionsplan ErUM-Data fest. Der Aktionsplan ErUM-Data schafft Voraussetzungen für die naturwissenschaftliche Grundlagenforschung von morgen und fördert eine koordinierte Herangehensweise und breite Verständigung. Langfristiges Ziel ist es, den Weg zu übergeordneten Lösungen zu ebnen und optimale Bedingungen für eine effiziente und finanzierbare Datenverarbeitung und -verwertung zu schaffen. Der einfache Zugang zu Daten und Werkzeugen ist eine zentrale Säule des Aktionsplans. 
Identifiant de l'évènement:
1531642
53
Euro-Par 2023 P & D — 29th International European Conference on Parallel and Distributed Computing
28 aou 2023 - 01 sep 2023 • Limassol, Chypre
Organisateur:
SEIT Lab, Department of Computer Science, University of Cyprus
Résumé:
Euro-Par is the prime European conference covering all aspects of parallel and distributed processing, ranging from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to applications, from architecture, compiler, language and interface design and implementation, to tools, support infrastructures, and application performance aspects. We invite participants to submit original and unpublished works as posters and/or demos to the Euro-Par 2023 conference presenting the latest breakthroughs which have been developed in H2020, Horizon Europe, EuroHPC JU, national, regional and international R&D projects. Topics of interest should cover the conference scope and tracks (please visit the conference web site for more information about the topics covered by Euro-Par). The poster/demo sessions will provide an excellent opportunity for students and researchers to present early- stage research results and receive valuable feedback on their ongoing research from the community.
Contact:
Tél.: [+35722892693];     Email.: george@ucy.ac.cy
Date limite de soumission des résumés:
20 mai 2023
Identifiant de l'évènement:
1522237
54
ErUM Data Hub: Advanced Deep Learning
25 sep 2023 - 29 sep 2023 • Meinerzhagen, Allemagne
Résumé:
Mit dem Ziel, den Herausforderungen der Digitalisierung in der naturwissenschaftlichen Grundlagenforschung schnell und zukunftsorientiert zu begegnen und exzellente Forschung in und aus Deutschland zu fördern, legt das Bundesministerium für Bildung und Forschung (BMBF) als Teil des 2017 veröffentlichten Rahmenprogramms „Erforschung von Universum und Materie – ErUM“ den Aktionsplan ErUM-Data fest. Der Aktionsplan ErUM-Data schafft Voraussetzungen für die naturwissenschaftliche Grundlagenforschung von morgen und fördert eine koordinierte Herangehensweise und breite Verständigung. Langfristiges Ziel ist es, den Weg zu übergeordneten Lösungen zu ebnen und optimale Bedingungen für eine effiziente und finanzierbare Datenverarbeitung und -verwertung zu schaffen. Der einfache Zugang zu Daten und Werkzeugen ist eine zentrale Säule des Aktionsplans. 
Identifiant de l'évènement:
1531663
55
International Data Week 2023 — A Festival of Data
23 oct 2023 - 26 oct 2023 • Salzbourg, Autriche
Organisateur:
The International Science Council’s Committee on Data (CODATA) and World Data System (WDS), and the Research Data Alliance (RDA)
Résumé:
International Data Week brings together a global community of data scientists and data stewards; researchers from all domains; data, interoperability and informatics experts from all fields; industry leaders, entrepreneurs and policymakers.
Identifiant de l'évènement:
1536150
56
BIRS Workshop — Astrostatistics in Canada and Beyond
29 oct 2023 - 03 nov 2023 • Banff, Alberta, Canada
Organisateur:
Banff International Research Station (BIRS) for Mathematical Innovation and Discovery
Résumé:
What could be a bigger source of "big data" than the entire Universe? Researchers in statistics and computer science are developing new methods to analyse the "big data" that companies and governments want to understand. To test out these methods they need big datasets that everyone can share --- and new astronomical telescopes just happen to be gearing up to generate observations of billions of stars and galaxies that fit the bill. Insights from statistics will help astrophysicists to get the most out of these observations. The Astrostatistics 2023 workshop will bring together statisticians and astrophysicists to learn the technical languages of the two fields and identify how to work together to combine the excitement of space with big data.
Identifiant de l'évènement:
1499262
57
HEA 2023 — 3rd World Congress on High Entropy Alloys
12 nov 2023 - 15 nov 2023 • Pittsburgh, Pennsylvania, États-Unis
Organisateur:
The Minerals, Metals & Materials Society (TMS)
Résumé:
The 3rd World Congress on High Entropy Alloys (HEA 2023) is a cross-disciplinary technical forum designed to share the latest research advances in single-phase and multiphase metallic, intermetallic, and ceramic high entropy materials for functional or structural applications. HEA 2023 will feature highly focused technical talks on topics that include, but are not limited to, fundamental theory of alloy design, computational modeling and simulation, properties, processing, and applications of high entropy alloys.
Date limite de soumission des résumés:
16 jui 2023
Identifiant de l'évènement:
1504670
58
Symétrie, stabilité et interactions algorithmiques
13 nov 2023 - 17 nov 2023 • CIRM (Marseille Luminy), France
Organisateur:
CIRM – Centre International de Rencontres Mathématiques
Identifiant de l'évènement:
1503142
Sujets apparentés:
59
2023 SEAMS School on Scientific Computing for Differential Equations and Applications
22 nov 2023 - 01 dec 2023 • Quezon City, Philippines
Résumé:
Differential equations are at the forefront of modeling real-world systems and applications arising from different fields of science and engineering. This SEAMS school brings together experts in numerical analysis and scientific computing to give introductory lectures on recent numerical techniques in solving ordinary and partial differential equations, and their applications. These lectures are intended for graduate students and early-career mathematicians from the Philippines and neighboring countries. The school will be composed of lecture series and hands-on computational exercises.
Identifiant de l'évènement:
1537124
60
Statistical thinking in the age of AI : robustness, fairness and privacy
18 dec 2023 - 22 dec 2023 • CIRM (Marseille Luminy), France
Organisateur:
CIRM – Centre International de Rencontres Mathématiques
Identifiant de l'évènement:
1503225
61
INMS Workshop — Big Data Inverse Problems
20 mai 2024 • ICMS, Edinburgh, Royaume-Uni
Organisateur:
ICMS - International Centre for Mathematical Sciences
Résumé:
This workshop will gather researchers from the intersecting fields of inverse problems, uncertainty quantification, data analytics, machine learning, and related areas to discuss novel theory and new methods for big data challenges. A focused multifaceted research group gathered at one location is an excellent opportunity for established and early career researchers. The aim of this workshop is to foster a diverse, open, and friendly environment to advance this field, open new directions, and to stimulate new collaboration.
Identifiant de l'évènement:
1514192
62
Big Data Inverse Problems
20 mai 2024 - 24 mai 2024 • ICMS, Bayes Centre, Edinburgh, Royaume-Uni
Organisateur:
The International Centre for Mathematical Sciences (ICMS)
Résumé:
This workshop will gather researchers from the intersecting fields of inverse problems, uncertainty quantification, data analytics, machine learning, and related areas to discuss novel theory and new methods for big data challenges. A focused multifaceted research group gathered at one location is an excellent opportunity for established and early career researchers. The aim of this workshop is to foster a diverse, open, and friendly environment to advance this field, open new directions, and to stimulate new collaboration. 
Identifiant de l'évènement:
1538903
63
SNA + MC 2024 — Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo
20 oct 2024 - 24 oct 2024 • Paris, France
Organisateur:
CEA, Alternative Energies and Atomic Energy Commission
Résumé:
In addition to promoting the advances in the traditional topics of the conference, encompassing super-computing for nuclear applications and Monte Carlo simulation, SNA + MC2024 will also emphasize novel subjects with strong scientific, technological and societal stakes: the recent breakthroughs in High Performance Computing, environmental issues and energy transition.
Identifiant de l'évènement:
1521335


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