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

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

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 27 May 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

ICAS

The ACAIN 2020 is aimed at AI experts, neuroscientists and both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2020 will be a special opportunity to hear about cutting-edge research by leading scientists in #AI and #Neuroscience. The two days of keynote talks and oral presentations (the ACAIN Symposium, 1-2 October,2020) will be preceded by lectures of leading scientists (the ACAIN Course, 28-30 September,2020) for students and newcomers to this interdisciplinary field.

ICAS Event Secretariat;     Email: acain@artificial-intelligence-sas.org

Artificial Intelligence Asilomar AI Principles Neuroscience Brain-Behavior Interactions Cognition & Artificial Intelligence Cognitive Computing Cognitive Neuroscience Cognitive Robotics Cognitive Science Computational Cognitive Science Computational Modeling of the Nervous System Computational Neuroscience Creativity & Artificial Intelligence Deep Learning Epistemic Planning Ethics for Autonomous Systems Explainable Artificial Intelligence General Reinforcement Learning Algorithms Generative Adversarial Networks Human-Level Artificial Intelligence Human-Robot Interaction Machine Learning Neural data Analysis Methods Neuroinformatics Neurotechnology Probabilistic Generative Models Probabilistic Programming Reinforcement Learning Robotics Symbolic AI & Deep Learning Systems Neuroscience Theory of Deep Learning

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

Avast, Technische Universität in Prag (CTU)

Avast (LSE: AVST), ein weltweit führender Anbieter von digitalen Sicherheits- und Datenschutzprodukten, veranstaltet im Oktober 2020 in Zusammenarbeit mit der Technischen Universität in Prag (CTU) die Konferenz CyberSec&AI Connected, die zweite Auflage seiner Konferenz, die erstmals 2019 in Prag stattfand. Auf der Konferenz befassen sich die Sprecher mit dem Einsatz künstlicher Intelligenz (KI) zur Abwehr von Cyberangriffen und der Bewältigung moralischer und technologischer Herausforderungen im Zusammenhang mit dem Datenschutz.Bei der diesjährigen Veranstaltung werden Avast und die CTU ein hybrides Konferenzkonzept vorstellen: Eine virtuelle und vier physische Veranstaltungen werden Experten aus der ganzen Welt zusammenbringen. Die globale Veranstaltung findet am 8. Oktober 2020 gleichzeitig in Prag, London, New York City und San Francisco statt, wobei die Inhalte für die Teilnehmer weltweit live übertragen werden. Die Teilnehmer von CyberSec&AI Connected können die Konferenz entweder physisch in der ihnen nächstgelegenen Stadt oder online über ihren Computer, ihr Tablet oder Smartphone besuchen.

Agentur;     Phone: [+ 49 89 17959 18-0];     Email: avast@akima.de

Cybersicherheit, Cybersecurity, AI, KI, Künstliche Intelligenz

Software Agents and Intelligent Agents in Artificial Intelligence,    Information Security and Information Privacy

ODSC

ODSC West 2020 is going virtual! We’re thrilled to be hosting our third virtual conference October 27th-30th. Featuring 100+ hands-on training sessions and workshops, 240 speakers, and 320 hours of content, ODSC West Virtual Conference is the perfect opportunity to gain new in-demand skills and network with your peers and our renowned speakers wherever you are. Get your pass today to save 70% on your ticket to ODSC West Virtual Conference. https://odsc.com/california/#register

Phone: [+1 510 984 8238];     Email: info@odsc.com

Data Science, Artificial Intelligence, Machine Learning

BIRS-affiliated mathematics research centre, Casa Matemática Oaxaca (CMO)

The focus of the workshop is on statistical learning, algorithms, information and computational limits, in large-scale networks. The overall objective of the workshop is to develop a better understanding of the information theoretic and computational barriers to making significant inferences from large-scale network data. The topics are organized into three interrelated areas, ranging from inference problems for single graphs, to inference involving two graphs, to classification of graphs from general families.

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

In the recent decade, we have witnessed rapid progress in machine learning in general and deep learning in particular, mostly driven by tremendous data. As these intelligent algorithms, systems, and applications are deployed in real-world scenarios, we are now facing new challenges, such as scalability, security, privacy, trust, cost, regulation, and environmental and societal impacts. In the meantime, data privacy and ownership has become more and more critical in many domains, such as finance, health, government, and social networks. Federated learning (FL) has emerged to address data privacy issues. To make FL practically scalable, useful, efficient, and effective on security and privacy mechanisms and policies, it calls for joint efforts from the community, academia, and industry. More challenges, interplays, and tradeoffs in scalability, privacy, and security need to be investigated in a more holistic and comprehensive manner by the community. We are expecting broader, deeper, and greater evolution of these concepts and technologies, and confluence towards holistic trustworthy AI ecosystems. This workshop provides an open forum for researchers, practitioners, and system builders to exchange ideas, discuss, and shape roadmaps towards scalable and privacy-preserving federated learning in particular, and scalable and trustworthy AI ecosystems in general.

The purpose of the Neural Information Processing Systems annual meeting is to foster the exchange of research on neural information processing systems in their biological, technological, mathematical, and theoretical aspects. The core focus is peer-reviewed novel research which is presented and discussed in the general session, along with invited talks by leaders in their field. On Sunday is an Expo, where our top industry sponsors give talks, panels, demos, and workshops on topics that are of academic interest. On Monday are tutorials, which cover a broad background on current lines of inquiry, affinity group meetings, and the opening talk & reception. The general sessions are held Tuesday - Thursday, and include talks, posters, and demonstrations. Friday - Saturday are the workshops, which are smaller meetings focused on current topics, and provide an informal, cutting edge venue for discussion.

We invite submissions for the Thirty-Fourth Annual Conference on Neural Information Processing Systems (NeurIPS 2020), a multi-track, interdisciplinary conference that brings together researchers in machine learning, computational neuroscience, and their applications.

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

Banff's new workshop on Continuum models and optimisation for deep neural networks brings together scientists to discuss the foundations of our digital revolution, and to investigate the reliability of their results. As often, mathematics is the fundamental tool to examine today's challenges. Mathematics structures knowledge and identifies the strengths and limitations of deep learning algorithms. A better understanding of the maths behind deep learning helps us to develop more efficient algorithms and to put safety critical industrial areas such as autonomous driving on a firm ground.

Institute of Information Technology, Vietnam

In the past years, Vietnam Fuzzy Systems Society (VFSS) organized successfully many artificial intelligence and fuzzy systems in such as VJFUZZY'98, MIF'99, VJFUZZY'2001, VJMEDIMAG'2001, Intech/VJFuzzy'2002, AFSS'2004, VN-KR MEDINFO'2005. In January of 2020, we organized successfully AICI’2020 at the Thang Long University, Vietnam. In the next year, the Second International Conference on Artificial Intelligence and Computational Intelligence (AICI 2021), 15-16 January, 2021, will be organized by Institute of Information Technology, Vietnam Academy of Science and Technology with the sponsor of the International Fuzzy Systems Association (IFSA). This conference aims at bringing together researchers in Artificial Intelligence and Computational Intelligence and related topics for an opportunity to present and discuss theoretical and applied research problems as well as to foster research collaborations.

Artificial Intelligence, Big Data, Deep Learning with Biomedical & other Applications

Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic,    Natural Language Processing, Computational Linguistics

Association for the Advancement of Artificial Intelligence (AAAI)

The purpose of the AAAI conference is to promote research in artificial intelligence (AI) and scientific exchange among AI researchers, practitioners, scientists, and engineers in affiliated disciplines.

The International Conference on Pattern Recognition Applications and Methods is a major point of contact between researchers, engineers and practitioners on the areas of Pattern Recognition and Machine Learning, both from theoretical and application perspectives. Contributions describing applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods are especially encouraged. Papers describing original work are invited in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the proceedings of ICPRAM with an ISBN. Acceptance will be based on quality, relevance and originality. There will be both oral and poster sessions. Special sessions, dedicated to case-studies and commercial presentations, as well as technical tutorials, dedicated to technical/scientific topics, are also envisaged: companies interested in presenting their products/methodologies or researchers interested in presenting a demo or lecturing a tutorial are invited to contact the conference secretariat.

Phone: [+351 265 520 185];     Email: icpram.secretariat@insticc.org

Modeling and Simulation,    Pattern Recognition and Image Processing, Machine Vision

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.

The Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21) is a venue for papers describing highly innovative realizations of AI technology. The objective of the conference is to showcase successful applications and novel uses of AI. The conference will use technical papers, best practice papers, invited talks, and panel discussions to explore issues, methods, and lessons learned in the development and deployment of AI applications; and to promote an interchange of ideas between basic and applied AI and the discourse on the actual deployment of AI in practice.

Institute of Pure and Applied Mathematics (IPAM), UCLA

In recent years, deep learning has significantly improved the fields of computer vision, natural language processing and speech recognition. Beyond these traditional fields, deep learning has been expended to quantum chemistry, physics, neuroscience, and more recently to combinatorial optimization (CO). Well-known CO problems are Travelling Salesman Problem, assignment problems, routing, planning, Bayesian search, and scheduling. CO is basically used every day in finance and revenue management, transportation, manufacturing, supply chain, public policy, hardware design, computing and information technology. The workshop will bring together experts in mathematics (optimization, graph theory, sparsity, combinatorics, statistics), CO (assignment problems, routing, planning, Bayesian search, scheduling), machine learning (deep learning, supervised, self-supervised and reinforcement learning) and specific applicative domains (e.g. finance, transportation, hardware design, computing and information technology) to establish the current state of these emerging techniques and discuss the next directions. Besides, such generalization of deep learning techniques to CO problems will also push forward the mathematical analysis of the properties of these learning systems like generalization and transfer, stochastic optimization and dynamic predictivity that make the success of these techniques.

Graph Theory and Combinatorics,    Operational research

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

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

SEG - Society of Exploration Geophysicists

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

Geophysics and Geology,    Metrology and Instrumentation

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

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

Recently a variety of state-of-the-art methods in machine learning and artificial intelligence have been developed motivated by techniques from Stein’s method, a successful tool from the field of probability theory. These methods have enabled efficient analysis of the large amounts of data being produced in several scientific fields, like neuroscience, information technology, and finance. Motivated by this success, there has been an ever increasing interest in exploring further connections between Stein’s method and machine learning. The focus of this workshop is to consolidate isolated efforts and develop a theoretically principled inferential and computational framework via Stein's method for analyzing increasingly complex models and data objects. This workshop is intended to bring together prominent and promising young and diverse researchers working on Stein’s method and machine learning, and to charter the path for future development in the field.

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.

MRSI – Mathematical Sciences Research Institute, Berkeley

The talks in this workshop will present a wide array of current applications of topology in neuroscience, including classification and synthesis of neuron morphologies, analysis of synaptic plasticity, algebraic analysis of the neural code, topological analysis of neural networks and their dynamics, topological decoding of neural activity, diagnosis of traumatic brain injuries, and topological biomarkers for psychiatric disease. Some of the talks will be devoted to promising new directions in algebraic topology that have been inspired by neuroscience.

Geometry and Topology,    Neurology

EURO Working Group on Decision Support Systems

The EURO Working Group on Decision Support Systems invites you to participate in the ICDSST 2021 International Conference on Decision Support System Technology on Decision Support Systems, Analytics and Technologies in response to Global Crisis Management in Loughborough, UK. The Conference will be hosted at the School of Business and Economics of the Loughborough University, during the period of May 26th to May 28th, 2021.

Operational research,    Multidisciplinary or General Events in Informatics

The AIBC Summit brings together thousands of investors and innovators in Blockchain, Artificial Intelligence, Quantum Technology, Big Data and the Internet of Things.

The state-of-the-art image processing research works are dedicated to cover a wide range of computational intelligence techniques with a completely new way of neural networks organization concept called Capsule Networks [CapsNets] that opens up a new era of advanced image-processing applications. It is being organized on May 27-28, 2021 in association with King Mongkut’s University of Technology Thonburi, Thailand, Dayeh University, Taiwan, and Tribhuvan University, Nepal. Moreover, the 2nd International Conference on Image Processing and Capsule Networks [ICIPCN 2021] initiates a capsule network perspective to leverage an authoritative and detailed representation to deliver an enhanced image and video recognition and adaptive processing mechanisms which were closely related to the humanistic way of thinking. This extended ICIPCN 2021 conference will be a dedicated platform for researchers, academicians and scholars to share and exchange their valuable research insights, which may clearly define the image and the family of image processing techniques and applications. Henceforth, this premier International conference motivates the researchers to discover more information from images and perform innovative image analysis procedures by efficiently utilizing the evolving capsule network models.

Phone: [09600368297];     Email: icipcn.conf@gmail.com

Image Processing Image recognition and Analysis Image Registration Image segmentation and edge detection Image texture analysis Medical imaging systems Image acquisition, reconstruction and synthesis Feature Extraction techniques Medical image diagnosis Image reconstructions and losses Medical interpretability and explainable deep learning frameworks Image processing for multispectral images Image enhancement and restoration Image formation principles Pattern recognition and capsule networks in object tracking Face and gesture recognition techniques Genetic algorithms Signal identification and representation Speech and audio processing Optical signal processing Capsule based biometric technologies Cognitive vision of image processing Multi-fusion imaging Capsule Networks Capsules in image analysis Deep learning in image analysis Pattern recognition Machine Learning Data mining Big data analytics and imaging Visual content analysis Fuzzy systems Human-visual systems Robotic vision of image processing Capsules in adaptive image processing Machine learning in capsule neural networks Capsule implementation in image systems Capsules and digital image processing techniques Routing mechanisms Machine Intelligence Artificial neural networks Artificial Intelligence Techniques

Virtue Insight

IOT is changing the world around us and with ‘Digital India’ and the ‘Smart Cities Mission,’ is using technologies to offer a slew of smart services that are efficient, sustainable, accessible and affordable. Smart city solutions such as smart transportation, smart infrastructure, smart energy, smart communications, smart lighting etc… According to markets, the global blockchain technology is expected to rise upto $2.31bn by 2021. Research provides strong evidence that blockchain applications could transform existing business models and invent new forms of business in a profound way. Function using integrated technologies, such as IoT, cloud computing and artificial intelligence. These solutions reduce costs for governments, citizens and enterprises alike. Enterprise and industrial markets are poised to become the biggest areas where the Internet of Things will be implemented. This summit will explore the impact of the Internet of Things (IoT), AI & Blockchain on industries, such as manufacturing, transport, supply chain, insurance, logistics, government, energy and automotive.

Email: kavitha@virtueinsight.co.in

Blockchain, Artificial Intelligence, IoT, AI, interntet of things, BigData, technology, Sensors, Wireless

Internet of Things (IoT) and Sensor Networks,    Cryptography, Blockchain and Information Security

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

CIRM – Centre International de Rencontres Mathématiques

Probability and Statistics, Game Theory,    Algorithms

Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, Canada

The incredible advances in artificial intelligence applied to images need to be combined with geometric tools to be applied in higher dimensional data and for applications to 3D objects, such as those in Augmented Reality, Virtual Reality environments, data from sensors of self-driving cars, computational anatomy, and other domains of technological applications. In this workshop we will bring together experts from academia, government stakeholders, applied researchers from industry, as well as graduate students and early career scientist to interact and develop novel solutions that apply abstract tools from high dimensional geometry to contribute to the solution of these problems.

CIRM – Centre International de Rencontres Mathématiques

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

The workshop focuses on the novel mathematical challenges of statistics and machine learning. The spectacular success of machine learning in a wide range of applications opens many exciting theoretical challenges in a number of mathematical fields, including probability, statistics, combinatorics, optimization, and geometry. BIRS will bring together researchers of machine learning and mathematical statistics to discuss these problems. The principal topics include combinatorial statistics, online learning, and deep neural networks.

Courses and Events for Math Students and Early Career Researchers,    Pattern Recognition and Image Processing, Machine Vision