Conferences and Meetings on Neural Networks and Artificial Intelligence, Machine Learning

Machine Learning (ML) is quickly providing new powerful tools for physicists and other natural scientists to extract essential information from large amounts of data, either from experiments or simulations. This IPAM long program will foster nontrivial research and provoke scientific discussion at the interface between ML and Physics. We aim to go beyond simple fitting of physical models from data and move the discussion to (i) using generative ML methods and active learning in order to generate and design complex and novel physical structures and objects, (ii) obtain models that are physically understable, e.g. by maintaining relations of the predictions to the microscopic physical quantities used as an input, (iii) using ML to learn the physical principles and mathematical structures underlying the data, and (iv) developing new ML methods inspired by methods and models developed in Physics.

The ADT 2019 conference focus is on algorithmic decision theory broadly defined, seeking to bring together researchers and practitioners coming from diverse areas of Computer Science, Economics and Operations Research in order to improve the theory and practice of modern decision support.

Algorithms, Argumentation Theory, Artificial Intelligence, Computational Social Choice, Database Systems, Decision Analysis, Discrete Mathematics, Game Theory, Machine Learning, Matching, Multi-agent Systems, Multiple Criteria Decision Aiding, Networks, Optimization, Risk Management, and Utility Theory

Operational research,    Information & Knowledge Management, Big Data Computing

The 11th Asian Conference on Machine Learning (ACML 2019) will take place on November 17 - 19, 2019 at WINC AICHI, Nagoya, Japan. The conference aims to provide a leading international forum for researchers in machine learning and related fields to share their new ideas, progress and achievements. Submissions from regions other than the Asia-Pacific are also highly encouraged.

Institute for Pure and Applied Mathematics (IPAM), UCLA

Part of the Long Program Machine Learning for Physics and the Physics of Learning.

In this workshop we will explore how to use physical intuition and ideas to design new classes of machine learning (ML) algorithms. Physics-inspired sampling algorithms could be used to train ML structures or sample the hyper-parameter space (e.g. deep Neural Networks). Additionally, physics-based models such as Ising/Potts models or energy-based models have influenced ML inference frameworks such as Markov Random Fields and Restricted Boltzmann Machines, and we want to continue the discussion to facilitate this innovation transfer. Finally, physical insight could be used to enhance learning in the situation of scarce data by enforcing smoothness, differentiability or other physical properties relevant to a given problem.

National Dong Hwa University (NDHU)

2019 International Conference on Machine Learning and Intelligent Systems (MLIS 2019), supported by National Dong Hwa University (NDHU), is scheduled to be held in National Dong Hwa University (NDHU) in Taiwan during November 19-22, 2019. The event is aimed at providing a platform for knowledge exchange of the most recent scientific and technological advances and to strengthen the links in the scientific community. The plenary session of MLIS 2019 will include Keynote Speeches, Invited Speeches, Poster Presentations and Oral Presentations.

Phone: [+86-13618614937];     Email: info@machinelearningconf.org

Computational Intelligence, Data Mining, Deep Learning, Expert Systems, Human Computer Interaction, Image Processing, Natural Language Processing, Neural Networks, Pattern Recognition, Robots, Sentiment Analysis, Signal Processing, Video Processing

The 8th conference on Artificial Intelligence and Natural Language (AINL 2019) invites everyone interested in intellectual technologies, both from academic institutes and innovative companies. The conference aimed to bring together experts for creating a platform for sharing experience, extending contacts and searching for possible collaboration.

text mining, speech technologies, dialogue systems, information retrieval, machine learning

Natural Language Processing, Computational Linguistics,    Information & Knowledge Management, Big Data Computing

Asian Regional Section of the International Association for Statistical Computing (IASC-ARS)

Statistical Computing for AI and Big Data

Information & Knowledge Management, Big Data Computing,    Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic

Neural Information Processing Systems Foundation

The Thirty-third Annual Conference on Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.

Geography, Global Positioning System, Earth Observation,    Pattern Recognition and Image Processing, Machine Vision

Centre International de Rencontres Mathématiques (CIRM)

SESSION 1 (Day 1 and Day 2): Introduction to Machine Learning; ​SESSION 2 (Day 3 and Day 4): Advanced course

Asia-Pacific Neural Network Society (APNNS)

The ATCM 2019 is an international conference to be held in Leshan, China, that will continue addressing technology-based issues in all Mathematical Sciences. Thanks to advanced technological tools such as computer algebra systems (CAS), interactive and dynamic geometry, and hand-held devices, the effectiveness of our teaching and learning, and the horizon of our research in mathematics and its applications continue to grow rapidly. The aim of this conference is to provide a forum for educators, researchers, teachers and experts in exchanging information regarding enhancing technology to enrich mathematics learning, teaching and research at all levels.

Applied Mathematics (in general),    Numerical Analysis and Computational Mathematics

The conference provides a leading international forum for the dissemination of original research in ML, with emphasis on applications as well as novel algorithms and systems. Following the success of previous ICMLA conferences, the conference aims to attract researchers and application developers from a wide range of ML related areas, and the recent emergence of Big Data processing brings an urgent need for machine learning to address these new challenges. The conference will cover both machine learning theoretical research and its applications. Contributions describing machine learning techniques applied to real-world problems and interdisciplinary research involving machine learning, in fields like medicine, biology, industry, manufacturing, security, education, virtual environments, games, are especially encouraged.

Laboratoire LIRMM de l’Université de Montpellier

American Meteorological Society (AMS)

Human Brain Project Education Programme

The human brain is such a complex system that it can only be understood by combining knowledge and practices from multiple scientific fields. The 4th HBP Student Conference provides an open forum for the exchange of new ideas among young researchers working across various aspects of science relevant to the Human Brain Project (HBP). The conference offers a space for extensive scientific dialogue, both intra- and interdisciplinary, among peers and faculty through a variety of discussion sessions, lectures and social events.

HBP Education Programme Office;     Email: education@humanbrainproject.eu

neuroscience, brain medicine, computer science, robotics, cognitive science, psychology, interdisciplinary brain research

Neurology,    Scientific Computing

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

Probability and Statistics, Game Theory,    Pattern Recognition and Image Processing, Machine Vision

Institute for Pure and Applied Mathematics (IPAM), UCLA

Rapid advances in deep learning techniques are starting to revolutionize medical imaging. Radiology, disease detection, and tissue imaging are all expected to be facilitated by automated image analysis programs in the near future. Many new interdisciplinary research questions arise; finding solutions with practical significance requires input from mathematicians, bio-physicists, and computational engineers. This workshop aims to bring together researchers from different backgrounds to explore this new frontier of science.

Applied Mathematics (in general),    Pattern Recognition and Image Processing, Machine Vision

Applying ML & deep learning to create AI Assistants & conversational interfaces to create deeper, more personalised one-to-one customer experiences.

Nordic Institute for Theoretical Physics (Nordita)

The brain represents and processes information through the activity of many neurons whose firing patterns are correlated with each other in non-trivial ways. These correlations, in general, imply that the activity of a population of neurons involved in a task has a lower dimensional representation. Naturally, then, discovering and understanding such representations are important steps in understanding the operations of the nervous system, and theoretical and experimental neuroscientists have been making interesting progress on this subject. The aim of this conference is to gather together a number of key players in the effort for developing methods for dimensionality reduction in neural data and studying the population dynamics of networks of neurons from this angle. We aim to review the current approaches to the problem, identify the major questions that need to be addressed in the future, and discuss how we should move forward with those questions.

International Conference on Robotics and Artificial Intelligence, the world's premier international educational event on Robotics and Artificial Intelligence will be organized on February 17-18, 2020 at the Paris, France. We invite you to Robotics & AI 2020 to actively participate in our International Conference, to meet and interact with friends and colleagues from all over the world, to discuss science, to learn about the exciting developments in Robotics and Artificial Intelligence field, to break away from the daily routine and to enjoy everything that the city of Paris has to offer. Take part in our provocative and engaging exchanges with leading experts & expand professional networks with colleagues from around the world. Internationally leading scientists in Robotics and Artificial intelligence research are joining us here in to present and discuss their most recent research and achievements during this event. We invite you to join us in this exciting endeavour.

Pattern Recognition and Image Processing, Machine Vision,    Robotics, Automation & Mechatronics

Institute for Pure and Applied Mathematics (IPAM), UCLA

Psychiatric disorders are typically diagnosed and evaluated using subjective psychological exams that assess symptoms, thoughts, feelings and behavioral patterns. Ongoing and recent advances in measurements provide EEG, functional MRI, optogenetic, genomic, and metabolic data. Along with mathematical methods developed to analyze these data, a more physiological and quantitative approach for diagnosis and treatment can be envisioned. This workshop will explore how modern computational tools and mathematical modeling can be integrated with measurements to improve psychiatric diagnosis and treatment.

Biometric Technologies,    Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic

University of Modena and Reggio Emilia

IHSI 2020 Conference will focus on advancing the theory and applications of artificial cognitive systems and human-artificial systems collaboration by adopting a hybrid-centered design approach that utilizes and expands on the current knowledge of human-centered design and intelligent systems supported by cognitive software and engineering, smart data analytics, large scale socioeconomic simulations, and next generation computer visualization. This interdisciplinary conference will also expand the boundaries of the current state-of-the-art by investigating the pervasive complexity that underlies the most profound problems facing contemporary society today.

Human-Computer Interaction, User Experience,    Internet of Things (IoT) and Sensor Networks

The purpose of the International Conference on Agents and Artificial Intelligence is to bring together researchers, engineers and practitioners interested in the theory and applications in the areas of Agents and Artificial Intelligence. Two simultaneous related tracks will be held, covering both applications and current research work. One track focuses on Agents, Multi-Agent Systems and Software Platforms, Distributed Problem Solving and Distributed AI in general. The other track focuses mainly on Artificial Intelligence, Knowledge Representation, Planning, Learning, Scheduling, Perception Reactive AI Systems, and Evolutionary Computing and other topics related to Intelligent Systems and Computational Intelligence.

Centre International de Rencontres Mathématiques (CIRM)

Discover advances in deep learning tools and techniques from the world's leading innovators across industry, research and the financial sector.

Discover the latest advancements in AI tools and techniques and their application in insurance from the world's leading innovators across industry, academia and startups.

Welcome to the fourth edition of Data Innovation Summit. It is going to be bigger, better, more insightful and more exciting than ever. This year’s event will focus on practical case studies on Applied Innovation, Analytics and Visualisation, Machine Learning, Artificial Intelligence, Data Management, Data engineering, IOT insight and technology.

Database Technology and Design,    Information & Knowledge Management, Big Data Computing

Machine Learning Prague s.r.o

Central Europe's largest practical conference in Machine Learning, AI and Deep Learning applications. Join over 1000 participants from over 35 countries to participate in 10 workshops and 23 talks.

Email: gonzalo@mlprague.com

Acadia University

Artificial intelligence (AI) is mainly data-driven. It uses statistical methods through human-machine relationships during generation of data, production of algorithm, and prediction of results. The International Workshop on Statistical Methods and Artificial Intelligence will be an annual meeting of researchers in artificial intelligence, statistical methods, machine learning, and related areas.

Artificial Intelligence, Statistical methods, Data Analysis and Data mining, Computational Statistic, Supervised and unsupervised learning, Statistical methodology, Bioinformatics, Medical statistics, Deep Learning, Data Collection and Applications, Data Science and Blockchain Technology, Data Science and Artificial Intelligence, Data Science and Blockchain Technology, Mathematical Statistics, Sampling Techniques and Applications, Statistical Software R, SAS, Python

Organizations that successfully apply AI tools and strategies compete more effectively. Make plans to join us at the O'Reilly AI Conference and chart your business transformation.

The magnetized Galactic interstellar medium has become a main hindrance in the analysis of cosmological data. Galactic foregrounds are an issue in different observational contexts for the Cosmic Microwave Background (CMB), the HI 21cm signal from the epoch of reionization (EoR), line intensity mapping and lensing surveys. Galactic magnetic fields also upset the identification of sources of ultra-high energy cosmic rays and the measurement of extragalactic magnetic fields. In each context, cosmology is tied to Galactic astrophysics, and from a methodological point of view, to mathematics, because novel methods are required to model and reproduce the statistical properties of Galactic foregrounds and account for their complexity in the statistical inference of cosmological parameters. The meeting aims at bringing together scientists from Cosmology, Galactic Astrophysics and Mathematics for cross-fertilization. These three themes will be developed in parallel along the week in the context of CMB, large scale structure, EoR, cosmic magnetism and cosmic-ray science and experiments.

Phone: [+33679170204];     Email: francois.boulanger@ens.fr

Cosmic microwave background, Large scale structure, Cosmic magnetism, Galactic astrophysics, Interstellar matter, Computational cosmology, component separation methods

Artificial Intelligence is based on the research of fundamental and applied sciences. Through the evolution of information and engineering, it has gradually penetrated and changed not only our lives but our work style, which has resulted in bringing new experiences and convenience. And yet we’re facing with an unprecedented challenge and a crisis of privacy.

An agenda, such diversified and interdisciplinary, ACEAI and the 8th ISFAS sincerely invite all relevant professionals in both academic and the industry to present and to exchange. All relevant abstracts/full papers in regards to “Fundamental and Applied Sciences” and “Engineering and Information” are welcomed, especially in the fields of AI, 5G, IoT and Blockchain.

ACEAI Secretariat;     Email: aceai@aceai.org

Artificial Intelligence, 5G, Internet of Things, Blockchain, Engineering, Information

Since its inception in 1985, AISTATS has been an interdisciplinary gathering of researchers at the intersection of artificial intelligence, machine learning, statistics, and related areas.

Probability and Statistics, Game Theory,    Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic

Welcome to ECAI 2020, the 24th European Conference on Artificial Intelligence, that will take place in Santiago de Compostela (Spain) June 8-12, 2020. The conference will include a workshops and tutorials program scheduled before the main conference. The venue will be the Galicia’s Auditorium, an excellent location to visit the old town of the city. The Conference is hosted by the Spanish AI Society (AEPIA) and organized by the Intelligent Systems Group (GSI) and the Research Center on Information Technology (CITIUS) of the University of Santiago de Compostela (USC). In 2020 “the AI way” goes to …Santiago!

The 19th International Conference on Artificial Intelligence and Soft Computing ICAISC 2020 will be held in Zakopane (situated in the High Tatra mountains), Poland in June 21-25, 2020 in Mercure Zakopane Kasprowy Hotel. The conference will provide an excellent opportunity for scientists and engineers to present and discuss the latest scientific results and methods. The conference will include keynote addresses, contributed papers, and numerous lectures and tutorials on a wide range of topics.

The International Joint Conference on Automated Reasoning (IJCAR) is the premier international joint conference on all topics in automated reasoning. The IJCAR 2020 technical program will consist of presentations of high-quality original research papers, short papers describing interesting work in progress, system descriptions, and invited talks. IJCAR 2020 is the 10th edition of IJCAR. It will be held in Paris (France), and will be co-located with FSCD 2020 and a number of workshops and associated events.

International Machine Learning Society (IMLS).

ICML is the leading international machine learning conference and is supported by the International Machine Learning Society (IMLS).

The IEEE WCCI 2020 will host three conferences: The 2020 International Joint Conference on Neural Networks (IJCNN 2020), the 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2020), and the 2020 IEEE Congress on Evolutionary Computation (IEEE CEC 2020) under one roof. It encourages cross-fertilisation of ideas among the three big areas and provides a forum for intellectuals from all over the world to discuss and present their research findings on computational intelligence.

The IEEE World Congress on Computational Intelligence (IEEE WCCI) is the world’s largest technical event in the field of computational intelligence. WCCI 2020 features the flagship conference of the Computational Intelligence Society: The 2020 International Joint Conference on Neural Networks (IJCNN 2020), the 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2020), and the 2020 IEEE Congress on Evolutionary Computation (IEEE CEC 2020) under one roof.

The integration of artificial intelligence and robotic technologies has become a topic of increasing interest for both researchers and developers from academic fields and industries worldwide. It is foreseeable that artificial intelligence will be the main approach of the next generation of robotic research. The explosive number of artificial intelligence algorithms and increasing computational power of computers has significantly extended the number of potential applications for robotic technologies. It has also brought new challenges to the artificial intelligence community. The aim of this symposium is to provide a platform for young researchers to share up-to-date scientific achievements in this field.

Software Agents and Intelligent Agents in Artificial Intelligence,    Robotics, Automation & Mechatronics

Zuerich University of Applied Sciences ZHAW

The workshop will act as a major forum for international researchers and practitioners working in all areas of neural network- and machine learning-based pattern recognition to present and discuss the latest research, results, and ideas in these areas.

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases will take place in Ghent, Belgium, from the 14nd to the 18nd of September 2020. This event is the premier European machine learning and data mining conference and builds upon over 18 years of successful events and conferences held across Europe.

Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic,    Information & Knowledge Management, Big Data Computing

The ACM Recommender Systems conference (RecSys) is the premier international forum for the presentation of new research results, systems and techniques in the broad field of recommender systems. Recommendation is a particular form of information filtering, that exploits past behaviors and user similarities to generate a list of information items that is personally tailored to an end-user’s preferences. As RecSys brings together the main international research groups working on recommender systems, along with many of the world’s leading e-commerce companies, it has become the most important annual conference for the presentation and discussion of recommender systems research. RecSys 2020, the fourteenth conference in this series, will be held in Rio de Janeiro, Brazil.

Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic,    Human-Computer Interaction, User Experience

Spectro Expo

HyperMLPA is an interdisciplinary workshop which aims at bringing together people of different communities and disciplines involved in hyperspectral sensing, machine learning, and pattern analysis. People are invited to contribute in sensor development and calibration, to present and publish new datasets, to present innovative methodological advancements, and to share the latest results and findings of application-oriented work. The HyperMLPA workshop will run for the second time in 2020, as part of the SpectraExpo in parallel with Whispers and SwIImS. HyperMLPA participants will have full access to all Whispers/SwIImS sessions and vice versa.

Photochemistry and Spectroscopy,    Pattern Recognition and Image Processing, Machine Vision

IPAM

This workshop will bring together researchers working on the theoretical sides of deep learning techniques for perception and control of automated vehicles with researchers interested in assuring these autonomous systems operate with safety guarantees. Moreover, experts in sensing and imaging technology will be brought to the table, to cover the full pipeline from the collection of the data, over the AI theory and development, all the way to the software and actuation challenges. Additional themes addressed in this workshop include interactions between vehicle sensing and the infrastructure, and cybersecurity aspects related to sensing and machine learning (how to purposefully mislead sensors and AI).

Part of the Long Program Mathematical Challenges and Opportunities for Autonomous Vehicles

Applied Mathematics (in general),    Robotics, Automation & Mechatronics

Institute for Mathematical Sciences/National University of Singapore

Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic,    Software Agents and Intelligent Agents in Artificial Intelligence

The 15th Asian Conference on Computer Vision (ACCV2020) will be held in Kyoto on Nov 30 - Dec 4, 2020, which is the best season for enjoying Japanese autumn. ACCV is a leading biennial international conference mainly sponsored by Asian Federation of Computer Vision. This highly successful series provides a premier forum for researchers, developers, and practitioners to present and discuss new problems, solutions, and technologies in computer vision and related areas.

Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic,    Pattern Recognition and Image Processing, Machine Vision

Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic,    Software Agents and Intelligent Agents in Artificial Intelligence

Kavli Institute for Theoretical Physics (KITP)

The Large Hadron Collider (LHC) is the world’s facility for probing fundamental physics at the electroweak scale and well beyond. As it enters a new phase of extended data accumulation, two broad challenges emerge: how to fulfill the potential for percent-level precision with the large dataset, and how to maximise the information that can be extracted from each event about the underlying scattering process, in particular with machine learning. Solving these problems will have an impact across a wide range of physics topics: establishing the properties of the newly discovered interactions of the Higgs sector and understanding electroweak symmetry breaking, enhancing the sensitivity of searches for physics beyond the Standard Model (BSM), and precision measurements of a range of fundamental parameters in the Standard Model.