Conferences and Meetings on Applied Maths: Neural Networks and Artificial Intelligence, Machine Learning

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

‘The only way humans and animals can affect the world is via movement... the only reason for the existence of the brain may be to ultimately affect movement’ (Wolpert, 2011). Thus, understanding how goal-directed movement behavior is planned and controlled may give us a unique window into neuroscience. Thousands of experiments have shed light on movement behavior and a comparable number of mathematical models have been built to interpret these experiments. But the ultimate scientific objective is to distill this long catalog of insights into a few key principles of sensorimotor control and stitch together a broadly applicable mathematical theory from the myriad domain-specific models.

Deep learning techniques have achieved impressive performance in computer vision, natural language processing and speech analysis. These tasks focus on data that lie on Euclidean domains, and mathematical tools for these domains, such as convolution, downsampling, multi-scale, and locality, are well-defined and benefit from fast computational hardware like GPUs. However, many essential data and tasks deal with non-Euclidean domains for which deep learning methods were not originally designed, such as 3D point clouds and shapes, or functional MRI. The goals of this workshop are to: 1) bring together mathematicians, data scientists and domain experts to establish the current state of these emerging techniques, 2) discuss a framework for the analysis of these new deep learning techniques, 3) establish new research directions and applications of these techniques, and 4) discuss new computer processing architecture beyond GPU adapted to non-Euclidean domains

The Technical Committee on Multiple-Valued Logic of the IEEE Computer Society will hold its 49th annual symposium in Fredericton, Canada, on May 21-23, 2019.

The aim of the IWCS conference is to bring together researchers interested in any aspects of the computation, annotation, extraction, and representation of meaning in natural language, whether this is from a lexical or structural semantic perspective. IWCS embraces both symbolic and machine learning approaches to computational semantics, and everything in between.

Phone: [+302541079649];     Email: liliadis@civil.duth.gr

Artificial Intelligence Artificial Neural Networks Deep LEarning Learning Machine LEarning-Pattern Recognition MLFF ANN Spiking ANN RBF SOM SVM Fuzzy Image - Video processing Signal Processing Multi Agent Sys NAtural Language Intelligent Technoclogies in Social Media Optimization IoT Smart systems All AI applications

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

This is an INNS (International Neural Network) society annual conference and specifically (EANN Special Interest Group).

Phone: [+302541079649];     Email: liliadis@civil.duth.gr

Artificial Intelligence Learning-Machine LEarning DEEP LEarning Artificial Neural NEtworks Convolutional ANN MLFF ANN RBF Spiking ANN Optimization Image-Video Processing Multi agent Sys-Autonomous Robots Fuzzy SVM SOM Unsupervised LEarning All AI applications in every single domain

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

The Nordic-Baltic Region of the International Biometric Society (IBS-NBR) welcomes you to NBBC19, June 2-5, 2017 in Vilnius, Lithuania. The conference is an excellent opportunity for learning about recent advances in biostatistics/biometrics, exchanging research experiences and getting to know colleagues from neighbor countries. The conference will include Key note presentations, Invited sessions, Contributed sessions and poster sessions. Registration is now open soon and you can find more information as well as the program under the following link: NBBC19 (https://nbbc19.lt/). You may also want to take a look at the web page of the IBS-NBR (http://ibsnbr.org/) for programmes of previous IBS-NBR meetings.

Email: audrone.jakaitiene@mf.vu.lt

statistics, biostatistics, biomathematics, biometrics, medical statistics, spatial statistics, clinical trials, epidemiology,

Biometric Technologies,    Probability and Statistics, Game Theory

LPNMR 2019 is the fifteenth in the series of international meetings on logic programming and non-monotonic reasoning. LPNMR is a forum for exchanging ideas on declarative logic programming, non-monotonic reasoning, and knowledge representation. The aim of the conference is to facilitate interactions between researchers and practitioners interested in the design and implementation of logic-based programming languages and database systems, and those working in knowledge representation and nonmonotonic reasoning. LPNMR strives to encompass theoretical and experimental studies that have led or will lead to advances in declarative programming and knowledge representation, as well as their use in practical applications. A Doctoral Consortium will also be a part of the program.

Mathematical Logic,    Software Agents and Intelligent Agents in Artificial Intelligence

The Machine Learning & AI DevCon will explore the hardware and software challenges of building up and debugging the complex machine learning and artificial intelligence systems in applications such as such as medical devices, robots, drones, point-of-sale equipment, and industrial automation and others.

Machine learning and AI algorithms, Machine learning and AI hardware – processors and systems, Applying ML and AI in automotive, industrial, medical, and other applications, Introduction to ML and AI, The future of what Machine Learning and AI and Augmented Reality will bring

Cosmological observations entered an era where the volumes of data collected by telescopes are immense. At the same time, incredible progress has recently been made in the fields of Artificial Intelligence and Machine Learning - sciences of creating advanced mathematical and statistical models to learn from the data. These techniques allow for analysis or large, rich datasets. In this workshop, we would like to explore the possibilities of applying these new methods to cosmological data. The benefits can potentially be vast, such as enabling extremely fast analyses of very large image datasets, accelerating cosmological simulations, and extracting more information from the data, to name a few. Machine Learning can also potentially greatly benefit from collaboration with cosmologists: new cosmological datasets can stimulate developments of new, complex learning methods and algorithms. By bringing together researchers from Cosmology and Machine Learning, we aim to foster collaboration between these two disciplines.

Cosmology, Machine Learning, Cosmological Information, Generative Models

International Machine Learning Society (IMLS)

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

While most nuclear-physics Ph.D. students are taught some standard (frequentist) statistics as part of their course work, very few encounter Bayesian methods until they are engaged in research. But Bayesian methods provide a coherent and compelling framework to think about inference, and so can be applied to many important questions in nuclear physics. The overall learning goal of this school is to take students who have had no previous exposure to Bayes’ theorem and show them how it can be applied to problems of parameter estimation, model selection, and machine learning.

Courses and Events for Physics Students,    Probability and Statistics, Game Theory

Co-located with 5 world leading enterprise technology events on IoT, Cloud, Quantum Computing, as well as being supported by the world’s great change-makers, The AI Summit gives you the depth and breadth to light up your technology roadmap and bring your business into the 4th Industrial Revolution powered by AI.

The ISC High Performance conference will bring together over 3,500 researchers and commercial users, and 160 exhibitors, ready to share their experiences with the latest technology and products of interest to the high performance computing (HPC) community. One of the expanded topic areas this year is machine learning, a set of technologies that has been adopted by high performance computing users to advance scientific research and commercial applications in novel ways and by HPC vendors to extend their reach into additional markets.

Get the latest research and explore what the future holds for applied artificial intelligence engineering at the AI Conference. Find out how you can implement AI in real-world projects using machine learning, NLP, Tensorflow, and the latest best practices for business decision-makers.

The conference aims to bring together scientists working in decision analysis, broadly defined. The conference will provide a platform for interdisciplinary discussions and will include talks by researchers in decision analysis, behavioral economics, judgment and decision-making, machine learning, statistics, and other related disciplines with a prescriptive focus.

FUZZ-IEEE is the foremost conference in the field of fuzzy systems. It covers all topics in fuzzy systems, from theory to applications.

Formal Concept Analysis emerged in the 1980's from attempts to restructure lattice theory in order to promote better communication between lattice theorists and potential users of lattice theory. Since its early years, Formal Concept Analysis has developed into a research field in its own right with a thriving theoretical community and a rapidly expanding range of applications in information and knowledge processing including visualization, data analysis (mining) and knowledge management and discovery. The ICFCA conference series aims at bringing together researchers and practitioners working on theoretical or applied aspects of Formal Concept Analysis within major related areas such as Mathematics and Computer and Information Sciences and their diverse applications to fields like Software Engineering, Linguistics, Environment, Life and Social Sciences, etc.

Mathematical Logic,    Software Agents and Intelligent Agents in Artificial Intelligence

The AIME 2019 conference will be held in Poznan, Poland on June 26-29, 2019. As previous AIME conferences (from Marseille in 1987 to Vienna in 2017) it will be a unique opportunity to present significant theoretical, methodological and applied results related to the application of artificial intelligence (AI) in medicine.

Information Security and Information Privacy,    Applied Maths: Cryptography, Blockchain and Information Security

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

The SEMCCO 2019 is the seventh international conference of this series, where SEMCCO 2010 has been successfully organized at SRM University, Chennai, SEMCCO 2011 at ANITS, Visakhpatnam, SEMCCO 2012 at SOA University, Bhubaneswar, SEMCCO 2013 at SRM University, Chennai, SEMCCO 2014 at SOA University, Bhubaneswar, and SEMCCO 2015 at Hyderabad, India. The FANCCO 2019 is the fifth international conference of this series, collocated and co-organized with SEMCCO. These conferences aim at bringing together researchers from academia and industry to report and review the latest progresses in the cutting – edge research with Swarm, Evolutionary, Memetic, Fuzzy, and Neural computing to explore new application areas and to design new bio – inspired algorithms for solving specific hard optimization problems and finally to create awareness on these domains to a wider audience to practitioners.

Swarm, Evolutionary, Memetic, Fuzzy, and Neural computing

International Neural Network Society (INNS) in cooperation with the IEEE Computational Intelligence Society

The conference is organized by the International Neural Network Society (INNS) in cooperation with the IEEE Computational Intelligence Society, and is the premier international meeting for researchers and other professionals in neural networks and related areas.

The third summer school of this series will focus on methods for analyzing multimedia data. We have invited outstanding speakers from different disciplines that will teach different methods and show how multimedia data can be used to answer interesting research questions that are relevant for the social sciences and gain insights into cultural phenomena like social orientation and its expression for instance in urban spaces, images and art. Students will conduct small projects in which they will apply the newly learned methods and will be supervised by the invited speakers.

computer vision methods, spatial and temporal analysis of urban spaces via multimedia content analysis, spreading and mutation models for multimedia content

Courses and Events for Math Students and Early Career Researchers,    Multimedia, Computer Graphics and Visualization

The Tenth International Conference on Swarm Intelligence (ICSI’2019) serves as an important forum for researchers and practitioners to exchange latest advantages in theories, technologies, and applications of swarm intelligence and related areas.

In the second UK Acoustics Network Summer School in Acoustics and Machine Learning (UKANSS19), participants will be immersed in Python and supervised machine learning with applications in Acoustics. Some familiarity with programming and basic undergraduate mathematics will be required.

The learning approach will be very hands on, so participants will need to bring laptops. There will be a series of exercises and challenges to work through, while being aided by experts on Python (Dr Prasun Ray) and machine learning for acoustics (Ramon Fuentes). There will also be some seminars on Neural Networks.

Applied Physics: Acoustics, Noise and Vibration,    Courses and Events for Physics Students

The main aim of this conference is to encompass all avenues of fields of Artificial Intelligence and Robotics and also to discuss the positive and inadvertent impact of modern technologies on the society. Nowadays the total world is moving towards the automation using the robotics techniques, thereby the use of robots are also drastically increasing the demand for new technologies are also increasing this conference will provide the great knowledge about the new technologies in this field.

Project Manager;     Phone: [07305477495];     Email: info@icair.in

Artificial Intelligence Robotics

Artificial Intelligence and Machine Learning Conference takes the opportunity to invite Speakers, Participants, Students, and Delegates from across the Globe to attend 1st International Conference on Artificial Intelligence and Machine Learning (Arti - Intelligence 2019), to be held during August 19-20, 2019 in Osaka, Japan. This conference will be focusing on the theme “How intertwining of Artificial Intelligence and Machine Learning are solution to the problems”. Artificial Intelligence and Machine Learning Conference organizes 3000+ Conference series across the globe. Events inclusive of 600+ Conferences, 1200+ Workshops, and 1200+ Symposiums Every Year across the USA, Europe & Asia with support from 1000 more scientific societies.

Phone: [123456789];     Email: artificial-intelligence@scientificcolloquium.com

Artificial Intelligence, Machine Learning, Pattern recognition, SAP, Artificial Neural Networks, Regression Analysis, Cloud Computing, Prototypical Applications, Data Mining, Big Data Applications, Applications of Machine Learning, Exploring Emotional Bonds With Robots.

Applied Maths: Pattern Recognition and Image Processing, Machine Vision,    Applied Maths: Dynamic Systems, Control and Automation

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.

O’Reilly + Intel AI

The AI Conference attracts the brightest minds in AI: algorithm and perception engineers, research and machine learning scientists, data scientists and data engineers, program and product managers, innovation officers and business leaders who come together to share ideas and to explore the most essential—and intriguing—topics in applied AI.

British Machine Vision Association (BMVA)

The British Machine Vision Conference (BMVC) is the British Machine Vision Association (BMVA) annual conference on machine vision, image processing, and pattern recognition. It is one of the major international conferences on computer vision and related areas held in the UK. With increasing popularity and quality, it has established itself as a prestigious event on the vision calendar.

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

The main organizer of the conference is the Institute for Research and Applications of Fuzzy Modeling (IRAFM), University of Ostrava and the Czech Institute of Informatics, Robotics and Cybernetics (CIIRC), Czech Technical University in Prague.

Approximate reasoning • Clustering and classification • Cognitive modeling • Intelligent data analysis and data-mining • Data aggregation and fusion • Database management and querying • Theory and applications of decision-making • Forecasting and time series modeling • Fuzzy control • Theoretical foundations of fuzzy logic and fuzzy set theory • Imprecise probabilities and fuzzy methods in statistics • Image processing and computer vision • Information retrieval • Knowledge representation and knowledge engineering • Linguistic modelling • Machine learning • Possibility theory and applications

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases will take place in Würzburg, Germany, from the 16th to the 20th of September 2019. This event is the premier European machine learning and data mining conference and builds upon over 17 years of successful events and conferences held across Europe.

Information & Knowledge Management, Big Data Computing,    Search Engines and Data Mining

Join 600+ senior technology leaders from AI chip start-ups, semiconductor companies, system vendors/OEMs, data centers, end users, financial services, investors and fund managers, to build a comprehensive architectural roadmap of the emerging AI chip market.

Computing Hardware,    Software Agents and Intelligent Agents in Artificial Intelligence

Institute for Pure and Applied Mathematics (IPAM), UCLA

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

The workshop will examine how to plan experiments in order to use information in a cost-optimal way. It will also include the application of these modalities to training complex models, such as deep architectures, and the transfer of these ideas to the generation of physically-relevant complex structures such as chemical structures, molecular structures, scalar or vector fields in fluid dynamics or electrodynamics, proposal steps for Markov chain Monte Carlo of physical systems etc.

Digitalization trends continuous to shape the industrial world opening up new opportunities across a wide range of sectors. Artificial intelligence (AI) is considered a key driver of digital transformation that has the potential to introduce new sources of growth. Besides AI, the recent advances in machine learning and automation have created a whole new business ecosystem. HICL 2019 focuses on research concepts and ideas that foster the digital transformation in logistics and supply chain with a focus on artificial intelligence.

Artificial Intelligence and Digital Transformation

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

The workshop will include methods to summarize and interpret a complicated learned model (e.g. deep neural network) by interrogating this model about what and why it has learned (e.g. relevance propagation and sensitivity analysis).

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

Applied Maths: Operational research,    Information & Knowledge Management, Big Data Computing

ICCV is the premier international computer vision event comprising the main conference and several co-located workshops and tutorials. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers..

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

Institute for Pure and Applied Mathematics (IPAM), UCLA

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

This workshop will showcase how to employ mathematical aspects of statistical / information theoretic approaches in ML for the discovery of physical laws from data. Offering statistical guarantees along with the learned models is critical in physics and in areas such as aeronautics, climate science, chemistry, biology, and robotics. We will consider model selection, robust statistics, model-free and adaptive learning, and model validation in the context of both static and dynamic models, such as equations of motion.

The Conference on Robot Learning (CoRL) is a new annual international conference focusing on the intersection of robotics and machine learning. The first meeting (CoRL 2017) and the second meeting (CoRL 2018) were held in Mountain View, California on November 13 - 15, 2017 and in Zurich, Switzerland on October 29 - 31, 2018, respectively. They brought together about 350 of the best researchers working on robotics and machine learning.

IROS is one of the largest and most impacting robotics research conferences worldwide. It brings an international community of researchers, educators and practitioners to explore the frontier of science and technology in intelligent robots and systems, and discuss the latest advancements in this fast growing and exciting field. With the theme of "Robots Connecting People", the program of IROS 2019 will consist of technical sessions and multi-media presentations, as well as panel discussions, workshops, tutorials and exhibits to enhance technical communications among the attendees.

ICTAI 2019: The IEEE International Conference on Tools with Artificial Intelligence (ICTAI) is a leading Conference of AI in the Computer Society providing a major international forum where the creation and exchange of ideas related to artificial intelligence are fostered among academia, industry, and government agencies.

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

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

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.

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

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),    Applied Maths: Numerical Analysis, Algebra 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.

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

Probability and Statistics, Game Theory,    Applied Maths: 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),    Applied Maths: Pattern Recognition and Image Processing, Machine Vision

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,    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)

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!

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 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,    Applied Maths: Pattern Recognition and Image Processing, Machine Vision