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

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)

Bits&Chips

Artificial intelligence (AI) is back, with a vengeance. Machine learning is taking the industry by storm. Bits&Chips organizes the second edition of the Machine Learning Conference in ‘s-Hertogenbosch on 11 March 2020. The conference brings together industrial and scientific specialists who are applying ML techniques in high tech domains, or are interested in doing so.

Organization;     Phone: [+31 24 350 5544];     Email: events@techwatch.nl

machine learning, deep learning, artifical intelligence, AI, engineering, high tech

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

Scientific Research Group in Egypt (SRGE)

We welcome your participation and contribution to the International Conference on Artificial Intelligence and Computer Vision (AICV’2020) which will be held in Cairo, Egypt during April 8-10 2020. The 1st edition of AICV2020 will organized by the Scientific Research Group in Egypt (SRGE). AICV is organized to provide an international forum that brings together those who are actively involved in the areas of interest and to report on up-to-the-minute innovations and developments, to summarize the state-of-the-art, and to exchange ideas and advances in all aspects of Artificial Intelligence and Computer Vision.

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.

Mathematical Sciences Research Institute (MSRI)

The goal of the workshop is to explore the many emerging connections between the theory of Optimal Transport and models and algorithms currently used in the Machine Learning community. In particular, the use of Wasserstein metrics and the relation between discrete models and their continuous counterparts will be presented and discussed.

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

Following the success of the First ICPRAI, in Montreal, Canada, CENPARMI (Centre for Pattern Recognition and Machine Intelligence) of Concordia University will organize a second ICPRAI in 2020 in Zhongshan, China (with direct transportation, linking the airport in Hong Kong) in collaboration with its scientific and cultural communities. Zhongshan is a hub in the Guangdong-Hong Kong-Macau Greater Bay Area.

This is an internal workshop of the GlueX, EIC and PANDA collaboration. The aim of the workshop is to improve the know-how of machine learning techniques usable for the two experiments and to improve the collaboration between them. The workshop aims at beginners and more experienced users/developers. It is organized in a way that there are lectures and tutorials connected to the lectures in the morning and working groups in the afternoon.

Particle Accelerators,    Scientific Computing

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.

The MIDL conference aims to be a forum for deep learning researchers, clinicians and health-care companies to take a leap in the application of deep learning based automatic image analysis in disease screening, diagnosis, prognosis, treatment selection and treatment monitoring. The conference will have a broad scope and include topics such as computer-aided screening and diagnosis, detection, segmentation, (multi-modal) registration, image reconstruction and synthesis.

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

Graz University of Technology, Austria | Association for Computational Learning

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.

UAI is supported by the Association for Uncertainty in Artificial Intelligence (AUAI).

The Conference on Uncertainty in Artificial Intelligence (UAI) is one of the premier international conferences on research related to knowledge representation, learning, and reasoning in the presence of uncertainty.

Funded by the European Research Council

The field of natural language semantics has undergone what some refer to as an ‘experimental turn’ and is arguably currently undergoing a ‘computational turn’. By expanding the toolbox available to the semanticist, these two turns have the effect of expanding the phenomena that can be explained and the varieties of semantic explanation that can be offered. For example, experimental methods can help distinguish between alternative explanations of semantic effects, e.g. whether to classify controversial phenomena as implicatures or presuppositions. Similarly, computational models of semantics can generate fine-grained and non-categorical predictions that can fruitfully be tested experimentally. And both kinds of methods can be used to ask questions about the emergence of semantic structures in language, including which factors influence their distribution and typology. Given this wider toolbox and purview, we aim to gather a workshop to showcase exciting new work that develops new semantic explanations using experimental and computational methods, as well as to invite broader reflection on the methodology of semantics now and in its future. Topics of potential interest include but are not limited to: * Experimental semantics and pragmatics * Graded/non-categorical semantic theories and explanations * Information-theoretic measures and explanations in semantics and pragmatics * Semantic universals * Learnability and evolution of semantics and pragmatics * Bayesian approaches to semantics and pragmatics * Probing neural models for learned semantic representations * Semantics in emergent communication protocols * The methodology of semantics We invite anonymized submission of abstracts of 2 pages (12 pt font; 1in or 2.5cm margins) — with an extra page for references of figures — on new research on topics related to those listed above by February 15.

Natural Language Processing, Computational Linguistics,    Courses and Events for Math Students and Early Career Researchers

ITS2020 is the upcoming Conference of the series of Intelligent Tutoring Systems Conferences on Computer and Cognitive Sciences, Artificial Intelligence and Deep Learning in Tutoring and Education.

The ITS2020 Conference focuses on “Artificial Intelligence and Beyond: From Alpha to Omega”.

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

Funded by the European Research Council

The field of natural language semantics has undergone what some refer to as an ‘experimental turn’ and is arguably currently undergoing a ‘computational turn’. By expanding the toolbox available to the semanticist, these two turns have the effect of expanding the phenomena that can be explained and the varieties of semantic explanation that can be offered. For example, experimental methods can help distinguish between alternative explanations of semantic effects, e.g. whether to classify controversial phenomena as implicatures or presuppositions. Similarly, computational models of semantics can generate fine-grained and non-categorical predictions that can fruitfully be tested experimentally. And both kinds of methods can be used to ask questions about the emergence of semantic structures in language, including which factors influence their distribution and typology. Given this wider toolbox and purview, we aim to gather a workshop to showcase exciting new work that develops new semantic explanations using experimental and computational methods, as well as to invite broader reflection on the methodology of semantics now and in its future.

Experimental semantics and pragmatics * Graded/non-categorical semantic theories and explanations * Information-theoretic measures and explanations in semantics and pragmatics * Semantic universals * Learnability and evolution of semantics and pragmatics * Bayesian approaches to semantics and pragmatics * Probing neural models for learned semantic representations * Semantics in emergent communication protocols * The methodology of semantics

Natural Language Processing, Computational Linguistics,    Courses and Events for Math Students and Early Career Researchers

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 International Conference on Optimization and Decision Science is organized by AIRO, Italian Operations Research Society and DSS (Dept. of Statistical Sciences).

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

A conference of the European Neural Network Society

The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). The ideal of ICANN is to bring together researchers from two worlds: information sciences and neurosciences. The scope is wide, ranging from machine learning algorithms to models of real nervous systems. The aim is to facilitate discussions and interactions in the effort towards developing more intelligent computational systems and increasing our understanding of neural and cognitive processes in the brain.

ICANN 2020 will feature two main tracks: Brain inspired computing and Machine learning research, with strong cross-disciplinary interactions and applications.

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

Tipasa Smart City Association

The integration of Artificial Intelligence in Renewable Energetic systems is focused in thé kind of conférence with thé approach with Big data, smart theory ans applications on thé managérial stratège of thé compay in thé contexte of a Renewable energy système.

ICAIRES2020;     Phone: [+213773617361];     Email: icaires2020.conf@gmail.com

Smart City, IoT, Renewable energy, Artificial Intelligence, Smart grid, Micro-grid, Solar energy, wind conversion, MPPT, fuzzy Logic, Neural Network, Genetic Algorithmes. PSO.

Systems theory, Control and Automation,    Internet of Things (IoT) and Sensor Networks

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

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

Courses and Events for Math Students and Early Career Researchers,    Analysis

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

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.

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

CIRM – Centre International de Rencontres Mathématiques

Probability and Statistics, Game Theory,    Algorithms

CIRM – Centre International de Rencontres Mathématiques