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

Algorithms and Data Structures,    Software Agents and Intelligent Agents in Artificial Intelligence

The Fields Institute

ESO-Garching

Technologies associated with artificial intelligence (AI), machine learning, data science, deep learning, and neural networks are already embedded in our daily lives. Also astronomical research is deeply impacted by the advances of AI technologies. The large amount and complexity of data produced by modern astronomical facilities require AI based technologies to allow efficient processing, and novel, synoptical, analysis and discovery methods. They add value to both engineering, observatory operations and science, with the final goal to enhance data exploitation.

Beilstein-Institut

Every day, enormous amounts of experimental and theoretical data are becoming available in the diverse research fields. For example, in chemistry the chemical space is explored, in physics the fundamental structures of particles that make up the world we know are examined, and in biology the paradigm is studied that leads from the DNA to structure, function and regulation.

Assuming the requirements for both high quality and access to data are met, the perspectives for the computational approach are promising but also raise a number of questions which will be addressed in the symposium.

Phone: [+49 69 7167 3221];     Email: bozen@beilstein-institut.de

artificial intelligence, machine learning, modelling, simulation, quantum mechanics, drug discovery, retrosynthesis, prediction, complexity

Physical (Theoretical) Chemistry, Computational Chemistry,    Biochemistry and Medicinal Chemistry, Toxicology

King Mongkut’s University of Technology Thonburi, Thailand, Dayeh University, Taiwan, and Tribhuvan University, Nepal

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 20-21, 2022 in association with King Mongkut’s University of Technology Thonburi, Thailand, Dayeh University, Taiwan, and Tribhuvan University, Nepal. Moreover, the 3rd International Conference on Image Processing and Capsule Networks [ICIPCN 2022] 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.

Phone: [9486849591];     Email: icipcn.conf@gmail.com

Image Processing Image Recognition and Analysis Image Registration Image Texture Analysis Medical Imaging Systems Feature Extraction Techniques Medical Image Diagnosis Image Reconstructions and Losses Image Enhancement and Restoration Image Formation Principles Genetic Algorithms Speech and Audio Processing Optical Signal Processing Capsule Based Biometric Technologies Multi-Fusion Imaging Capsule Networks Capsules in Image Analysis Deep Learning in Image Analysis Pattern Recognition Machine Learning Data Mining Visual Content Analysis Fuzzy Systems Human-Visual Systems Machine Intelligence Artificial Neural Networks Artificial Intelligence Techniques

Cognilytica

This course is valuable for anyone who wants in-depth knowledge about how to succeed with AI & ML related projects. Cognilytica’s CPMAI AI & ML Project Management Certification has no prerequisites, and is appropriate for people with different roles and levels of expertise.

Course Coordinator;     Email: info@cognilytica.com

artificial intelligence, machine learning, course, e-learning, training course

Cognilytica

The Advanced Process Management: From Automation to Intelligence course provides fundamental understanding of automation systems and increasing levels of intelligence with step by step practical guidance. This course provides a detailed overview of Robotic Process Automation (RPA) and process automation systems, including evolution of Business Process Management (BPM) and Business Process Integration (BPI), moving to higher levels of intelligent automation including Content Intelligence-enabled Processes, Autonomous Process Management and Optimization, and Autonomous process design. This course also provides a downloadable roadmap and workbook that facilitates the automation to intelligence journey. This course is valuable for anyone who wants in-depth knowledge about how to move from automation to AI, and this course has no prerequisites, and is appropriate for people with different roles and levels of expertise.

Course Coordinator;     Email: info@cognilytica.com

artificial intelligence, machine learning, course, e-learning, training course

Cognilytica

The Practical & Comprehensive Ethical & Responsible AI Framework Development Training & Certification provides a comprehensive deep dive into the components of ethical & responsible AI frameworks and provides a guided, step by step approach for crafting an implementable Ethical and responsible AI framework. This course dives deep into a comprehensive ethical AI framework, which standardizes ethical frameworks from over 60 organizations including governmental, corporate, and leading organizations. Using this comprehensive framework, trainees will be able to understand the range of ethical and responsible AI & data needs across societal ethics, responsible use of AI, AI systemic transparency, governance of AI systems, and algorithmic interpretability and explainability.

This course provides the "Quickstart" Cognilytica's Comprehensive Ethical AI Framework as well as additional support materials so that trainees can develop their own frameworks for AI and data projects. This course combines the best elements of ethical AI frameworks into a cohesive, well-defined set for buyers and builders of AI systems and is a great starting point for organizations looking to build their own AI framework. This course provides a certification in the Management of Ethical & Responsible AI Systems, has no prerequisites, and is appropriate for people with different roles and levels of expertise.

Course Coordinator;     Email: info@cognilytica.com

artificial intelligence, machine learning, course, e-learning, training course, professional development

Cognilytica

Developing AI and machine learning models is just the first step to keeping AI and ML systems performing and providing their needed value to the organization. In addition, organizations are realizing the need to manage models produced by other parts of their organization of third-parties. The developing area of Machine Learning Operations (ML Ops) and additional aspects of machine learning lifecycle management has emerged to address these needs. The Managing the AI & ML Lifecycle: "ML Ops" and Beyond course provides a foundational overview of AI & ML lifecycles, concepts around MLOps, deep dive into each of the aspects of AI & ML lifecycle management, details on ML Ops needs and capabilities, and provides a guidebook for managing ML projects as they continue to iterate, as well as steps and practical guidance for how to adopt an MLOps game plan at your organization to ensure success. This course provides a certification upon successful completion, has no prerequisites, and is appropriate for people with different roles and levels of expertise.

Course Coordinator;     Email: info@cognilytica.com

artificial intelligence, machine learning, course, e-learning, training course, professional development

Cognilytica

A well-defined and comprehensive big data strategy lays out the steps needed to become a more data-forward organization. Crafting a well-thought out and actionable strategy in the face of continual changes and demands for big data is a challenge. In the Building & Managing a Data-Forward Organization training and certification, Cognilytica provides guidelines, frameworks, and a roadmap for building a data-forward organization combined with fundamental understanding of the full Data infrastructure stack and the ecosystem of data technologies that add continual value. In this course Cognilytica provides a multistep approach to formulating a big data strategy, guidance on organizational change management, data infrastructure frameworks and a guidebook on managing a data-forward organization. This course provides a certification upon successful completion, has no prerequisites, and is appropriate for people with different roles and levels of expertise.

Course Coordinator;     Email: info@cognilytica.com

artificial intelligence, machine learning, course, e-learning, training course, professional development

ACMSC

2022 3rd Asia Human-Computer Interaction Symposium (AHMIS 2022) will be held in Beijing, China, 26-28 May, 2022. It is supported by ACM Singapore Chapter and Shanghai Young Ideas. It is the workshop of BDE 2022 and will be held together with the main conference.

Ms. Samantha Liu;     Phone: [+86-021-59561560];     Email: amychou2020@163.com

Ergonomics; The elderly and disabilities; Digital native; Healthcare/medicine; Interface/interaction; Interaction techniques; Interfaces for communication; Social/organizational issue; Computer-supported cooperative work; Human-centered design; Information architecture;

In the view of the forthcoming Big Data era for the astronomy community, the conference focuses on challenges coming from the application of ML/DL methods to open problems in astrophysics: novel AI techniques will be presented and joint discussions on their use with observational data will be fostered.

Supervised/Unsupervised/Semi-supervised Learning, Deep learning, Active Learning, Image segmentation, object detection and classification, Anomaly discovery, Data preparation, generation and augmentation, Time series analysis, transients , Classification and regression, Data mining, Software tools and services for machine learning , Computing infrastructures and devices for Artificial Intelligence

Astronomy, Astrophysics and Cosmology,    Pattern Recognition and Image Processing, Machine Vision

The Fields Institute

Calculus, Differential Equations and Integration,    Scientific Computing and Data Science

Cognilytica

The Data for AI Community is geared toward innovative companies pushing the boundaries of what’s possible with Artificial Intelligence and cognitive technologies. This community is focused on the data side of AI including: Data Engineering, Data Preparation, Data Labeling & Annotation, Sourcing and Generating Data, and All Other Topics Data-Related for AI. Join us at this monthly event for high-quality content with compelling & informative speakers and opportunities to network and connect with fellow like-minded individuals.

Information & Knowledge Management, Big Data Computing,    Online Training, Webinars

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

The Fields Institute

Lake Como School of Advanced Studies

Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic,    Courses and Events for Physics Students

Open Data Science Conference (ODSC)

Let’s reconnect at ODSC Europe 2022 June 15th - 16th in London, UK. Come see for yourself the future of data science as ODSC while reconnecting with the community and networking with leading minds.

Email: jay.h@odsc.com

data science, artificial intelligence, machine learning, deep learning, NLP

Open Data Science Conference (ODSC)

We are very excited to host you at ODSC Europe 2022’s AI Solutions Showcase Expo this June. You will have an opportunity to chat with HPCC Systems, Microsoft, Iguazio, Red Hat, SAS, Appen, Run:AI, Cloudera, DataBricks, Neo4j, iMerit, Seldon, MIT and more.

Email: iryna@odsc.com

Machine Learning & Deep Learning Platforms - MLOps & Data Infrastructure - Data Annotation & Data Labeling - Data Analytics & Decision Intelligence Systems - Machine Learning on the Cloud & Big Data

Pulchowk Campus, Institute of Engineering, Tribhuvan University, Nepal.

The 2nd International Conference on Sentimental Analysis and Deep Learning (ICSADL 2022) is a prominent event organized with the motivation for providing an international forum for all researchers, academicians and students for sharing their research findings on the different facets of Deep Learning and Sentimental Analysis techniques. ICSADL 2022 organized by Tribhuvan University, Nepal is held on 16-17, June 2022. ICSADL 2022 aims to exchange and share new ideas and research results about all aspects of Sentimental analysis and deep learning which includes Artificial Intelligence, Innovations in robotics, Big Data and also converse the practical challenges encountered and the solutions adopted. ICSADL 2022 will highlight the areas of Statistical Learning Methods, Applied Intelligence, Machine Learning, Natural Language Processing and Cognitive Computing.

Phone: [8870489968];     Email: icsadl.conf@gmail.com

Sentiment Analysis ✓ Cognitive Computing ✓ Deep Learning ✓ Semantics & Syntactic Analysis ✓ Natural Language Processing ✓ Emotion-Driven Systems ✓ Data Mining for Ontology Matching, Instance Matching and Search ✓ Recommender Systems Applications in Social Networks ✓ AI Driven Sentiment Analysis ✓ Information Retrieval and Document Analysis ✓ Intelligent Decision Making Deep Learning ✓ Fog Computing ✓ Data Analytics and Computing ✓ Reinforcement Learning ✓ Image Processing ✓ Cognitive Networks ✓ Evolutionary Computing ✓ Genetic Algorithms ✓ Statistical Learning Methods ✓ Fuzzy Models ✓ Security and Privacy Methods in Deep Learning Big Data Analytics ✓ Foundational Theoretical or Computational Models for Big Data ✓ Big Data Quality Evaluation and Assurance Technologies ✓ Artificial Intelligence for Big Data ✓ Visualization Analytics for Big Data ✓ Real-Time Big Data Services and Applications ✓ Big Data Services and Applications for Healthcare ✓ Web Intelligence ✓ Cryptographic Algorithms and Protocols ✓ Web Mining and Graph Mining ✓ Machine Learning in Cloud Computing

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

The aim of the conference CPAIOR is to bring together interested researchers from Constraint Programming (CP), Artificial Intelligence (AI), and Operations Research (OR) to present new techniques or applications, and to provide an opportunity for researchers in one area to learn about techniques in the others. A main objective of this conference series is also to give these researchers the opportunity to show how the integration of techniques from different fields can lead to interesting results on large and complex problems. Therefore papers that actively combine, integrate, or contrast approaches from more than one of the areas are especially solicited. High quality papers from a single area are also welcome, provided that they are of interest to other communities involved. Application papers showcasing CP/AI/OR techniques on novel and challenging applications or experience reports on such applications are strongly encouraged.

The University of Texas at Arlington, College of Engineering

The PErvasive Technologies Related to Assistive Environments (PETRA) conference is a highly interdisciplinary conference that focuses on computational and engineering approaches to improve the quality of life and enhance human performance in a wide range of settings, in the workplace, at home, in public spaces, urban environments, and other. Outcomes of this conference have a broad impact in application areas that include, manufacturing, transportation, healthcare, energy systems, security and safety, robotics, biomedicine, environment and conservation, and many others. PETRA brings together very different types of technologies to also address important social and healthcare issues for sensitive populations, such as the elderly, persons suffering from chronic conditions such as Alzheimer’s, Parkinson’s, Cerebral Palsy, and other disabilities or traumas.

Organizing Committee;     Phone: [4694073943];     Email: petrae@uta.edu

Healthcare Informatics, Big Data Management, Data Privacy and Remote Health Monitoring, Games for Physical Therapy and Rehabilitation, User Interface Design and Usability, Reasoning Systems and Machine Learning, Affective Computing, Cyberlearning : Theory, Methods and Technologies, Human-Robot Interaction, Human-Centered Computing, Human Monitoring, Haptics, Gesture and Motion Tracking, Cognitive Modeling, Wearable Computing, Interactions and the Internet of Things (IoT)

Human-Computer Interaction, User Experience,    Healthcare Technologies

international conference on the theory of Machine Learning and Artificial Intelligence

The IPMU Conference is organized every two years since 1986 with the focus of bringing together scientists working on methods for the management of uncertainty and aggregation. It also provides a forum for the exchange of ideas between theoreticians and practitioners in these and related areas.

Probability and Statistics, Game Theory,    Operational research

OLA2022 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA2022 welcomes presentations that cover any aspects of optimization and learning research such as new high-impact applications, parameter tuning, 4th industrial revolution, new research challenges, hybridization issues, optimization-simulation, meta-modeling, high-performance and exascale computing, surrogate modeling, multi-objective optimization, optimization for machine learning, deep learning and optimization, machine learning for optimization, optimization and learning under uncertainty, etc.

Institute for Pure and Applied Mathematics (IPAM) at UCLA

As algorithmic decisions and likelihood predictions reach ever more deeply, and with increasing consequence, into our lives, there is an increasing mandate that they be “fair”. Who counts? Machine learning algorithms learn from training data; when these are biased so are the algorithms they produce. The workshop will examine sources of sex and gender bias in data, with emphases on impoverished women; women of color; trans and non-binary persons; and older women. This program is preceded by a Graduate Summer School on Algorithmic Fairness organized by Cynthia Dwork, and Guy Rothblum (Weizmann Institute of Science).

Learning theory is a rich field at the intersection of statistics, probability, computer science, and optimization. Over the last decades the statistical learning approach has been successfully applied to many problems of great interest, such as bioinformatics, computer vision, speech processing, robotics, and information retrieval. These impressive successes relied crucially on the mathematical foundation of statistical learning.

CZES

2022 7th International Conference on Signal and Image Processing (ICSIP 2022) will be held in Suzhou, China(中国 苏州)during July 20-22, 2022. It is co-sponsored by IEEE, Southeast University, China, hosted by Southeast University Suzhou Campus and School of Cyber Science and Engineering. ICSIP is initiated in 2016. It was held successfully in Beijing (2016, hosted in North China of Technology), Singapore(2017, hosted in Nanyang Technological University), and Shenzhen(2018, hosted by Shenzhen Research Institute, Southeast University, China), Wuxi (2019, hosted in Southeast University in Wuxi), virtual conference due to COVID-19 (2020, hosted by School of Cyber Science and Engineering, Southeast University), and Nanjing (2021, hosted by School of Cyber Science and Engineering, Southeast University).

Phone: [+86-137-3111-1131];     Email: Vera_qh@outlook.com

Signal Processing; Networking; Biomedical Engineering; Control Algorithms; Control Algorithms; Multimedia Signal Processing; Communication Theory and Techniques; Fixed Networks; Streamed multimedia applications; Algorithms and implementations;

Fuzhou University

ICNC-FSKD is a premier international forum for scientists and researchers to present state-of-the-art neural computation and intelligent methods. These methods are inspired by nature, primarily biological, linguistic, physical systems and their applications to computers, circuits, systems, control, communications. The conference focuses on the emerging interdisciplinary area in which innovative theories and methodologies are being investigated and developed to explore complex and challenging problems. This conference builds on the success of the previous seventeen ICNC-FSKD conferences.

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

Mathematical Physics,    Scientific Computing and Data Science

FLoC 2022

Principles of Knowledge Representation and Reasoning, Incorporated (KR Inc.) is a not for profit Scientific Foundation incorporated in the state of Massachusetts of the United States of America, concerned with fostering research and communication on knowledge representation and reasoning. Its primary activities include organizing a series of prestigious conferences, the conferences on Principles of Knowledge Representation and Reasoning, cooperating with workshops on related topics, maintaining informational materials on the World Wide Web, and maintaining KR-related mailing lists.

Information & Knowledge Management, Big Data Computing,    Information Theory, Foundations of Computer Science

This conference will bring together top researchers, practitioners, academics and students from around the globe to discuss the latest advances in the field of computational intelligence and other areas of artificial intelligence, as applied to real world problems in biology, bioinformatics, computational biology, chemical informatics, bioengineering, and related fields. Computational intelligence approaches include artificial neural networks, fuzzy logic, evolutionary algorithms, hybrid algorithms, and other emerging techniques.

Computational Intelligence, Bioinformatics, Computational Biology, Artificial Intelligence

YOUNG

We would like to invite you to contribute to and participate in PRAI 2022 - 2022 the 5th International Conference on Pattern Recognition and Artificial Intelligence, which will be held in Chengdu, China during in August 18-20, 2022.

Phone: [+86-28-86527868];     Email: saraxc17@163.com

Pattern Recognition and Machine Learning; Computer Vision and Robot Vision; Image, Speech, Signal and Video Processing; Document Analysis, Biometrics and Pattern Recognition Applications; Biomedical Image Analysis and Applications;

Galileo Galilei Institute

Machine learning (ML) is nowadays an important toolbox for theoretical and experimental physics, and its importance is expected to steadily grow in the coming years. Thanks to its effectiveness and extreme flexibility, it allows for applications covering a huge set of topics, ranging from statistical data analysis, to simulation and modeling. For this reason ML has been successfully used in very different research areas, such as high-energy physics, astrophysics and cosmology, condensed matter and statistical physics. Applications in different domains often share strong similarities either in the problems to be solved or in the methodology employed. This motivates a fruitful exchange of ideas, which however is seldom achieved in practice due to the distance among different research communities. The aim of the workshop is to bring together researchers with interests and expertise in ML from different fields in physics, strongly encouraging and promoting cross-topic exchange of ideas and collaborations.

IFIP – the International Federation for Information Processing

The goal of the CD-MAKE conference is to act as a catalysator, to bring together academia and industry in a cross-disciplinary manner, to stimulate fresh ideas and to support human-centered AI.

Conference Management;     Email: ares@sba-research.org

DATA – Data science (data fusion, preprocessing, mapping, knowledge representation, …), LEARNING – algorithms, contextual adaptation, causal reasoning, transfer learning … VISUALIZATION – intelligent interfaces, human-AI interaction, dialogue systems, … PRIVACY – data protection, safety, security, ethics, acceptance and social issues of ML, … NETWORK – graphical models, graph-based ML, Bayesian inference, … TOPOLOGY – geometrical machine learning, topological and manifold learning, … ENTROPY – time and machine learning, entropy-based learning, …

CIRM – Centre International de Rencontres Mathématiques

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

Lake Como School of Advanced Studies

Polish Information Processing Society (PTI), IEEE Poland Section Computer Society Chapter and Bulgarian Academy of Sciences

FedCSIS is an annual international conference, this year organized jointly by the Polish Information Processing Society (PTI), IEEE Poland Section Computer Society Chapter and Bulgarian Academy of Sciences. It is technically sponsored by a number of IEEE units and other professional organizations (for the full list, see the conference site). The mission of the FedCSIS Conference Series is to provide a highly acclaimed forum in computer science and intelligence systems. We invite researchers from around the world to contribute their research results and participate in Technical Sessions, focused on their scientific and professional interests in computer science and intelligence systems.

FedCSIS Secretariat;     Email: secretariat@fedcsis.org

artificial intelligence, information systems, distributed systems, software engineering, cybersecurity

Multidisciplinary or General Events in Informatics,    High Performance Computing, Supercomputing, Parallel Computing

The Conference on Artificial Intelligence and Theorem Proving (AITP) is a yearly meeting where researchers in the areas of artificial intelligence, automated reasoning, machine learning, computer-understandable mathematics and proof assistants come to discuss how to progress with automation of reasoning, mathematics and science.

Lake Como School of Advanced Studies

UniBw München: Institut für Mathematik und Computergestützte Simulation; Förderverein Konstruktiver Ingenieurbau

The symposium is devoted to all aspects of finite elements and other computer-based methods for solving partial differential equations. The topics include but are not limited to: scientific computing, mechanics/applications, inverse problems and optimization with PDEs, uncertainty quantification. This year we particularly encourage talks on Discretization of problems with low-regularity solution, Discretization of optimal control problems, Neural networks with applications to PDEs.

Email: fe2022@unibw.de

finite elements, numerical analysis, scientific computing, mechanics/applications, optimization with PDEs, neural networks with applications to PDEs

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

From the beginning of the computer age, people have sought easier ways to learn, express, and understand computational ideas. Whether this meant moving from punch cards to textual languages, or command lines to graphical UIs, the quest to make computation easier to express, manipulate, and understand by a broader group of people is an ongoing challenge. The IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) is the premier international forum for research on this topic. Established in 1984, the mission of the conference is to support the design, theory, application, and evaluation of computing technologies and languages for programming, modeling, and communicating, which are easier to learn, use, and understand by people.

Human-Centric AI

Software Engineering,    Human-Computer Interaction, User Experience

Lake Como School of Advanced Studies

Software Agents and Intelligent Agents in Artificial Intelligence,    Courses and Events for Math Students and Early Career Researchers

Society of Exploration Geophysicists (SEG)

In the last few years, our industry has made significant progress in adoption of computational sciences to create fundamentally transformative ways of working. As we continue this journey, this workshop will provide a platform for industry professionals and academia to share their knowledge and experiences on application of new technology for subsurface characterization and reservoir development. We aim to put up a programme covering the insights from successes of the applications to pitfalls as well as anticipated advances that impact our approach toward exploration, development and production.

Geophysics and Geology,    Scientific Computing and Data Science

International Academy of Computing Technology

Following the four successful previous editions of AIPR (Beijing 2018, Beijing 2019 and Virtual Conferences in 2020, 2021), the 5th edition of AIPR will be held in Huaqiao University, located in Xiamen, China during September 23-25, 2022. AIPR2022 is mainly organised by Huaqiao University, co-sponsored by Wuhan Institute of Technology and technically supported by North China University of Technology, etc.

Phone: [+86-18081079313];     Email: Dunn@iact.net

Pattern Recognition and Machine Learning; Artificial neural networks; Dimensionality reduction and manifold learning; Classification and clustering; Computer Vision and Robot Vision; Shape modeling and encoding; Motion, tracking and video analysis; 3D sensors: depth sensors, ToF, Kinect; Image, Speech, Signal and Video Processing; Sensor array & multichannel signal processing; Coding, compression and super-resolution; Facial expression recognition; Document Analysis, Biometrics and Pattern Recognition Applications; Biomedical Image Analysis and Applications;

University of Konstanz, HTWG Konstanz

The DAGM German Conference on Pattern Recognition (DAGM GCPR) 2022 is the 44th annual symposium of the German Association for Pattern Recognition (DAGM). It is an international premier venue for recent advances in pattern recognition including image processing, machine learning, and computer vision and welcomes submissions from all areas of pattern recognition. This year, it will be held jointly with Vision, Modeling and Visualization (VMV) 2022 in Konstanz.

Organizers;     Email: gcpr-vmv-2022@uni-konstanz.de

Image and video processing and analysis, computer vision, machine learning, pattern recognition, computational photography, biomedical image processing, robot vision, computer vision systems and applications

Rohini College of Engineering and Technology,Kanyakumari

The emerging modern mobile robotic systems and intelligent information systems are becoming increasingly ubiquitous and distributed, where it is intended to operate in a highly dynamic and continuously fluctuating societal and economic environments. Moreover, the introduction of autonomous systems has revolutionized wide range of applications like agriculture, healthcare, education, military, industries, and so on.

Conference Chair & Convener;     Phone: [+91-8870489968];     Email: icmlasc@gmail.com

Machine Learning, Autonomous Systems, Computing, Technology, Autonomous Software and Operating Systems, Autonomous Sensors and Embedded Systems, Support Vector Machine, Intelligent Information Retrieval Techniques

The aim of this Workshop is to provide an overview of recent advances and challenges in artificial intelligence, internet of things and their integration, and in particular to solicit contributions on real-world applications. Furthermore, this workshop offers an opportunity for researchers and practitioners to identify new promising research directions as well as to publish recent advances in this area.

The 3rd International Workshop on Artificial Intelligence & Internet of Things (A2IOT’2022) will be held in conjunction with The 4th International Conference on Intelligent Systems for Cyber Threat Intelligence, 13-15 october 2022, Marrakech Morocco

Email: a2iotworkshop@gmail.com

University of Málaga (UMA)

Swarm intelligence is the discipline that deals with the study of self-organizing processes both in nature and in artificial systems. Researchers in ethology and animal behavior have proposed a number of models to explain interesting aspects of collective behaviors such as movement coordination, shape-formation or decision making. Recently, algorithms and methods inspired by these models have been proposed to solve difficult problems in many domains. ANTS 2022 will give researchers in swarm intelligence the opportunity to meet, to present their latest research, and to discuss current developments and applications.

Biology,    Sociology

Casa Matemática Oaxaca (CMO)

Asia Society of Researchers

Welcome to the official website of the 2022 8th International Conference on Robotics and Artificial Intelligence (ICRAI 2022) which was established in Singapore in 2015. This year, ICRAI 2022 will be held in Singapore on November 18-20, 2022.

The organizing committees for the 7th International Conference on Robotics and Artificial Intelligence (ICRAI 2022) will commit for facilitating the interactions among members in the field of robotics and artificial intelligence. Through this conference, the committees intends to enhance the sharing of individual experience and expertise in robotic developments involving a range of AI concepts with particular emphasis on technical challenges associated with varied applications such as humanoid, mobile and other classes of robots.

Phone: [+86-18008065167];     Email: adam@asr.org

Aerial and Underwater Robotics; Bio-inspired Robotics; Cable Robots, Cognitive Robotics; Cognitive Approach for Robotics; Collaborative Robotics; Collective and Social Robots; Control and Supervision Systems; Human-Robots Interfaces; Humanoid Robots; Humanoids;

Shandong University of Technology, China

Welcome to the official website of 2022 The 2nd International Conference on Artificial Intelligence and Blockchain Technology (AIBT2022) to be held in Zibo, Shandong, China during November 25-27, 2022, which is organized by Shandong University of Technology, China.

Phone: [+86-028-87777577];     Email: emmaawang2019@sina.com

Evaluation of AI tools; Intelligent networks; Intelligent information systems; Software tools for AI; Intelligent databases; Intelligent information fusion; Intelligent data mining and farming; Languages and programming techniques for AI; AI and evolutionary algorithms; Intelligent web-based business; Intelligent user interface;

Software Agents and Intelligent Agents in Artificial Intelligence,    Cryptography, Blockchain and Information Security

International Association of Computer Science and Information Technology

2022 5th International Conference on Future Learning (ICFL 2022) will be held at University of Lincoln, UK during December 16-18, 2022.

Phone: [+86-18302820449];     Email: aimee@iacsit.net

Adaptivity in Learning Systems; Advanced Uses of Multimedia and Hypermedia; Architecture of Context Aware Learning Technology Systems; Artificial Intelligence Tools for Contextual Learning; Building Learning Communities; Concretizing Technologies (e.g. Robotics) in Learning; Educational Modelling Languages / Learning Design; Educational Paradigms; Evolution in Teacher Roles through Technology;

ACMSC

2022 5th Artificial Intelligence and Cloud Computing Conference (AICCC 2022) will be held during 17-19 December, 2022 in Osaka, Japan. This conference is meant for researchers from academia, industries and research & development organizations all over the globe interested in the areas of Artificial Intelligence and Cloud Computing. It will put special emphasis on the participations of PhD students, Postdoctoral fellows and other young researchers from all over the world. It would be beneficial to bring together a group of experts from diverse fields to discuss recent progress and to share ideas on open questions. The conference will feature world-class keynote speakers in the main areas.

Email: amychou2020@163.com

Intelligent System Architectures; Knowledge Representation; Knowledge-based Systems; Mechatronics; Multimedia & Cognitive Informatics; Neural Networks; Parallel Processing; Pattern Recognition; Pervasive Computing and Ambient Intelligence; Programming Languages Artificial Intelligence; Soft Computing and Applications;

ACMSC

2023 4th International Conference on Computer Vision and Computational Intelligence (CVCI 2023) will be held in Bangkok, Thailand during January 12-14, 2023.

Email: amychou2020@163.com

Latest Developments in Computational Intelligence; Business Process Intelligence; Smart City Technologies; Computational Intelligence in Machine-driven Engineering; Automation, Mechatronics and Robotics; Computer based Manufacturing Technologies; Computational Intelligence in Space Science; Intelligent Avionics; Action Recognition; Big data and Large Scale Methods; Biometrics, face and gesture; Biomedical image analysis;

Institute for Pure and Applied Mathematics (IPAM)

For molecular systems we know the laws of physics to extreme precision. Yet, our ability to compute properties of these systems to numerical precision is very limited. This is mainly due to two sources of computational intractability: quantum mechanics and chaos. On one side, the accurate solution of the Schrödinger equation for large molecular systems is computationally prohibited. One the other side, even if we knew the forces exactly, the dynamical equations for the atoms would exhibit chaotic behaviour, which implies that, just as the weather, we have limited capacity to predict future trajectories. Some aspects of these systems remain predictable at a macroscopic scale, but they require completely different variables, such as pressure, temperature and entropy. We call this emergent theory thermodynamics.

In the completely different discipline of machine learning, a fairly similar phenomenon takes place. The microscopic variables of an image are given by its constituent pixel values. When we analyse the image with a deep neural network (DNN), we will detect edges in the first layer, corners in the next layer, then the object parts and finally, at the top of the neural network, entire objects. We understand the world at the “emergent” level of objects and their relations, not at the level of pixels and edges. In deep learning (DL) emergence happens automatically through learning and some inductive biases such as symmetries.

A major question we want to address in this workshop is whether we can apply the same learning paradigm to the field of molecular science to learn the correct emergent variables and dynamics.

Applied Mathematics (in general),    Modeling and Simulation

Hochschule Ruhr West

The global diffusion of AI technology is progressing. The conference focuses on the economic perspective: It will address the regulatory framework and the implications for economies, strategic approaches to the use of AI as well as changing business models, business functions and processes.

Programme and Organisation Committee;     Email: info@epe.ai

Business, Economics, Artificial Intelligence, Economic Perspective, Digitalisation, Digital Transformation, Management.

UC Santa Barbara, Kavli Institute for Theoretical Physics (KITP)

A long-standing question in the neurobiology of learning is that of timescales. The brain can associate events that are separated by seconds, minutes, hours, days, weeks, or longer. Yet, the known biological mechanisms for inducing changes in the synaptic connections between neurons are driven by neural events that are separated by typically no more than a few tens or hundreds of milliseconds. This conference will convene scientists studying the molecular, cellular, and circuit-level mechanisms used by the brain to bridge the multiple timescales across which events play out in the experience of an individual. The goal will be to assemble an up-to-date understanding of the set of biological mechanisms available in the brain to support associative learning across different timescales. The conference's emphasis on biological mechanisms will complement and support the main program’s more computational focus, and encourage an integrated analysis of statistical learning spanning molecular, cellular, circuit, and behavioral-level phenomena.

Molecular Biology,    Neurology