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

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

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

MIST Organizing Committee

MIST 2021 aims to bring together leading academic scientists, researchers and scholars to exchange and share their experiences and research results on all aspects of Medical Imaging Science and Technology. It also provides an international platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges and solutions adopted in the fields of medical imaging.

Event Secretariat;     Email: info@mistconf.org

Physics of medical imaging, Image processing, General medical image computing, Medical image and signal computing, Integrated medical image analysis, Medical data storage and compression, Computer-aided diagnosis, Image-guided procedures, robotic interventions, and modeling, Image perception, observer performance, and technology assessment, Image reconstruction and retrieval, Magnetic resonance imaging, X-ray, CT, PET and SPECT, Medical big data and machine learning in Medical Image Analysis, Biomedical applications in molecular, structural, and functional imaging, PACS and imaging informatics: next generation and innovations, Ultrasonic imaging and tomography, Digital pathology, Pediatric imaging, Thoracic imaging, Molecular imaging, Musculoskeletal imaging, Computerized medical imaging and graphics, Medical imaging, Ultrasound imaging, Imaging techniques in ophthalmology, Image guided radiation therapy, Medical terminology for urologic imaging, Cardiovascular imaging, 2D/3D/4D images trends and techniques, Neuroimaging, Biomedical signal processing, Clinical medical signals, Image-based modeling, Health monitoring, Other medical signals and images

Pattern Recognition and Image Processing, Machine Vision,    Radiology, Nuclear Medicine and Radiation Therapy

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.

IEEE SSCI is an established flagship annual international series of symposia on computational intelligence sponsored by the IEEE Computational Intelligence Society. IEEE SSCI 2021 promotes and stimulates discussion on the latest theory, algorithms, applications and emerging topics on computational intelligence across several unique symposia, providing an opportunity for cross-fertilization of research and future collaborations.

Centre for AI Research (CAIR)

SACAIR2021, will be hosted from 6 – 10 December 2021 at the Simbithi Country Club, Simbithi Eco-Estate, Dolphin Coast, KwaZulu-Natal. SACAIR2020 is the third international conference focused on Artificial Intelligence hosted by the Centre for AI Research (CAIR) – and the second to be held under the SACAIR brand.

RIOROB - Beijing Institute of Control Robotics and Intelligent Technology (BICRI)

It is our great honor and pleasure to welcome you to 2021 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC 2021) which will be held during December 8-10, 2021 in The British University in Egypt, Cairo, Egypt.

Phone: [001(559)-8624927];     Email: riorob@robotics.ac.cn

Artificial Intelligence; Information retrieval and integration; Data mining; Intelligent Robotics; Robot design; Robot kinematics/dynamics/control; Control Engineering; Man-machine interactions; System integration;

Systems theory, Control and Automation,    Robotics, Automation & Mechatronics

Cognilytica - AI in Government

Data quality is of the utmost importance when it comes to actionable insights and model performance. In this presentation, Vinay Malkani, Figure Eight Federal's Chief of Engineering will discuss why quality data is critical, opportunities and challenges associated with data, and how to integrate multiple data sources to produce consistent, accurate, and useful information. Jack Hild, Team member and National Geospatial-Intelligence Agency (NGA) Hall of Famer and Figure Eight Federal team member will then discuss where and how Figure Eight Federal fits into the NGA and it's data management vision.

artificial intelligence, machine learning, data science, data, big data, data quality

Cognilytica - AI in Government

With a renewed federal investment in infrastructure, many agencies are looking to understand how they can leverage technology to assist in the maintenance and upkeep of everything from roads and bridges to railways and their corresponding assets. This session will discuss how Quantiphi has used advanced Computer Vision technology to create efficiencies and better outcomes for preventative maintenance, as well as the forward-looking potential for this technology as it evolves.

artificial intelligence, machine learning, data science, computer vision, data

Arcada University of Applied Sciences, Finland, and co‐organized by University of Houston, Texas, USA, and Mind PointEye, Singapore

VIRTUAL CONFERENCE on Extreme Learning Machines (ELM) aims to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental `learning particles’ filling the gaps between machine learning and biological learning (of which activation functions are even unknown). ELM represents a suite of (machine and biological) learning techniques in which hidden neurons need not be tuned: inherited from their ancestors or randomly generated. ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series, etc) as long as they are nonlinear piecewise continuous, independent of training data and application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that “random hidden neurons” capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers.

ELM organizing committee;     Email: elm201x(at)gmail.com

ELM, Hierarchical ELM, AI for IoT, Synergy of Machine Learning and Biological Learning

RIOROB - Beijing Institute of Control Robotics and Intelligent Technology (BICRI)

2021 2nd International Conference on Artificial Intelligence and Application Technologies (AIAT 2021) will take place in Guangzhou, China during December 16-18, 2021.

Phone: [+86-010-8069-9230];     Email: riorob@robotics.ac.cn

Artificial Intelligence; AI and evolutionary algorithms; Constraint-based reasoning and constraint programming; Distributed AI algorithms and techniques; Distributed AI systems and architectures; Evaluation of AI tools; Heuristic searching methods; Integration of AI with other technologies; Automation Control and Applications; Artificial Intelligence and Machine Learning; Automated problem solving; Automation Control System; Automation in Mechanical Manufacturing; Brain models, Brain mapping, Cognitive science; Circuits and Systems ; Cybernetics for Informatics;

ACMSC

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

Information Retrieval, Intelligent System Architectures, Knowledge Representation, Knowledge-based Systems, Mechatronics, Multimedia & Cognitive Informatics, Neural Networks, Parallel Processing, Data Mining and Machine Learning Tools, Fuzzy Logic, Heuristic and AI Planning Strategies and Tools, Cloud as a Service, Cloud Infrastructure, Cloud Management, Cloud Security, Cloud Computing Technologies

YOUNG-nd

Phone: [+86-136-2777-7774];     Email: emmaawang2019@sina.com

Case studies and emerging technologies, Classification and clustering techniques, Color and texture, Compression methods, Computational geometry, Computer animation, Interactive digital media, Interactive techniques, Knowledge-based recognition, Learning and assessment based on virtual reality approaches, Learning and relevance feedback in image/video retrieval, Machine learning technologies for vision, Machine architectures/engines for graphics and VR, Modeling of natural scenes and phenomena

Cognilytica

Shopify has over 1.7 million merchants across over 175 countries, with hundreds of millions of consumers shopping at their stores. They're focused on leveraging the scale of our data to not only empower Shopify, but to create new experiences for merchants that are impossible without data. In their daily operations at Shopify, is are highly data informed. Some of the ways they're leveraging advanced analytics is by building an anomaly detection engine that allows them to process over hundreds of thousands of metric/segment combinations in a very accessible way. In her talk, Dr. Hilal will share key tips on how you can apply machine learning for anomaly detection and forecasting at scale.

artificial intelligence, machine learning, data, data science, predictive analytics

CZES-nd

The 2nd Global Image Processing Symposium (GIPS 2022) will be held in Shenzhen, China from 7th January to 9th January 2022.

Phone: [+86 180 8007 5398];     Email: Nazal@sina.com

Sensing, Representation, Modeling, and Registration; Synthesis, Rendering, and Visualization; Interpolation, Super-resolution, and Mosaicing; Compression, Coding, and Transmission; Color, Multispectral, and Hyperspectral Imaging; Document Analysis and Processing; Image & Video Analysis and Segmentation; Interpretation and Understanding; Detection, Recognition, and Classification; Computational Imaging; Restoration and Enhancement; Filtering and Multiresolution Processing; Image & Video Labeling and Retrieval; Biometrics, Forensics, and Security; Image Processing for Geophysics; Image Processing for Public Health and Safety; Biomedical and Biological Image Processing; Image & Video Systems and Applications;

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

Despite these recent successes at the neuroscience-AI intersection, there are many deep mathematical questions still to answer: 1) given their enormous size and complexity, how can we understand the operations performed by a fully-trained deep learning algorithm, or (analogously) an animal’s brain?; 2) how does the dynamics of activations within biological and artificial neural networks evolve and interact over different timescales (seconds, hours, days, etc.)?; 3) how does randomness in the environment and/or within the neuronal networks themselves contribute to the function of these networks?; 4) what features most enhance (or degrade) the computational power of neuronal networks?; 5) how do brains and AI systems reason in the face of uncertainty? This upcoming BIRS workshop will bring together AI researchers, neuroscientists, and mathematicians, to answer these questions. In so doing, it aims to advance all three of those disciplines, leading to better AI algorithms, and potentially better diagnosis and treatment of those with brain disorders.

Courses and Events for Math Students and Early Career Researchers,    Systems Biology and Computational Biology

The Symposium on Logic and Artificial Intelligence (“Symposium on L&AI” or “SLAI”) is annually organized by the International Society for Logic and Artificial Intelligence (ISLAI) in cooperation with research, development and educational organizations worldwide. SLAI is intended to add synergy to the efforts of researchers working on logic, AI, and their confluence. Round tables are planned to ensure an open debate on the state of the art and new directions.

Information Theory, Foundations of Computer Science,    Mathematical Logic and Foundations

RIOROB

2022 the 5th International Conference on Intelligent Control and Computing (ICICC 2022) will take place at Nanjing, China, from January 13-15, 2022, as the workshop of EECR 2022.

Phone: [+(86)-28-63023585];     Email: riorob@robotics.ac.cn

Autonomous Systems; Decision Support Systems; Learning and Adaptive Control Systems; Intelligent Fault Detection and Identification; Intelligent Control Theory and Applications; Network Intelligence and Network Control ; Intelligent Manufacturing Systems; Microprocessor-based Control; Motor Control and Power Systems; Intelligent Robots; Intelligent Vehicle Control; Aerospace Applications; Information Security & Computer Forensics; IP Mobility Protocols; Communications Software and Services; Ubiquitous Computing; Internet Applications; Virtual Environments and Social Networks;

ACMSC

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

Business Process Intelligence; Smart City Technologies; Computational Chemistry and Biology; Automation, Mechatronics and Robotics; Computer based Manufacturing Technologies; Sensors for Intelligent Manufacturing and Artificial Intelligence; Intelligent Avionics; Airspace Control, Traffic and Transportation; Unmanned Aviation and Intelligent Drones; Action Recognition; Big data and Large Scale Methods; Biometrics, face and gesture; Biomedical image analysis; Computational photography, photometry, shape from X; Deep Learning

CZES-nd

ICMLSC 2022, The 6th International Conference on Machine Learning and Soft Computing, will take place in Haikou, China, from January 15-17, 2022. ICMLSC conference is co-sponsored by Sai Gon University, Vietnam, Industrial University of Ho Chi Minh City and Hosei University, Japan, with support from Chuo University, Japan, International University - Vietnam National University, Vietnam, Can Tho University, Vietnam, etc.

Phone: [+86 138-8010-4517];     Email: Nazal@sina.com

Intelligent search; Automated reasoning and logic programming; Machine learning; Intelligent planning; Visual/linguistic perception; Evolutionary and swarm algorithms; Derivative-free optimisation algorithms; Fuzzy sets and fuzzy logic; rough sets; Neural computing; Emotional intelligence; Hybridisation of intelligent models/algorithms; Parallel and distributed realisation of intelligent algorithms/systems; Applications;

Cognilytica - AI in Government

Fundamentally, all effective AI applications rely on efficient access to high-quality, well-understood data, and most steps in an AI workflow are about proper data management and handling . Colocated with the National Center for Environmental Information (NCEI) , NOAA’s data archive and access center, NCAI is leading the efforts to modernize the NOAA data enterprise architecture, optimize data storage and accessibility, and make the data AI ready for mission AI tools via Cloud computing. NCAI will orchestrate the vast NOAA data holdings to make them AI-ready. NCAI will provide the bridge between existing systems and capabilities and the emerging cloud infrastructure allowing NOAA to successfully transition from research to operations and apply the transformative technology at scale. . NCAI will provide centralized AI resources, including a repository for AI software and application packages tailored for NOAA applications to provide transportability, catalogs of existing tools, collections of successful applications, and skilled data scientists, thereby enabling NOAA offices to more effectively exploit AI for mission needs. This talk will describe the NCAI Initial Operational Capacity (IOC) focused on requirements gathering and engaging key NOAA stakeholders and its evolution to a Full Operational Capacity (FOC) under specific appropriated funds.

artificial intelligence, machine learning, data, data science, data management

Cognilytica

As machine learning expands and larger organizations begin deploying across bigger teams, the need to efficiently operationalize becomes critical for enterprises. In our discussions with leading organizations utilizing ML like The RealReal and Uber, we have compiled real-world case studies and organizational best practices for MLOps in the enterprise.

artificial intelligence, machine learning, data, data science, MLOps

Cognilytica Courses

Want to learn how to successfully run AI projects at any scale? Learn the latest best-practices methodology for AI, ML, and data analytics projects with Cognilytica’s Cognitive Project Management for AI (CPMAI) Methodology. Cognilytica’s CPMAI AI & ML Project Management Training & Certification is recognized around the world as the best practices methodology for implementing successful AI & ML projects. The CPMAI methodology is the industry’s best practice for AI, ML, and data analytics projects. Cognilytica’s CPMAI training and certification prepares you to succeed with your AI & ML efforts, whether you’re just beginning them or are well down the road with implementation. CPMAI Training and Certification is offered as a virtual self-paced course where individuals or small groups can sign up and take the virtual courses around your busy schedule. More information available at: https://courses.cognilytica.com/?utm_source=directory.

artificial intelligence, machine learning, data, data science, data engineering, AI project management

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

INSTICC, the Institute for Systems and Technologies of Information, Control and Communication

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

Institute for Pure & Applied Mathematics (IPAM) at UCLA

All known intelligent systems are collectives. Individual organisms are collectives of cells, which develop, heal, sense, and act. Groups of human and non-human animals use a range of mechanisms to coordinate their behavior across space and time, from flocks and swarms to organizations, institutions, and cultural traditions. Deep learning?the dominant approach to artificial intelligence?gains its power from combining simple units into complex architectures; many contemporary architectures (e.g., GANs) combine multiple learners, and multi-agent settings are a critical research frontier for AI, especially settings that integrate human and artificial agents.

Cognilytica

AI in Government is where those working in and with the government get together to network, discuss, and interact on topics relating to AI, machine learning, and cognitive technologies. 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.

Asia Society of Researchers

2022 14th International Conference on Machine Learning and Computing will be held in Guangzhou, China on February 18-21, 2022 together with the workshop: ICBDM 2022.

Phone: [+86-13258111117];     Email: adam@asr.org

Adaptive systems; Neural net and support vector machine; Business intelligence; Hybrid and nonlinear system; Biometrics; Fuzzy set theory, fuzzy control and system; Bioinformatics; Knowledge management; Data and web mining; Information retrieval; Intelligent agent; Intelligent and knowledge based system;

Association for the Advancement of Artificial Intelligence

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. AAAI-22 will have a diverse technical track, student abstracts, poster sessions, invited speakers, tutorials, workshops, and exhibit and competition programs, all selected according to the highest reviewing standards. AAAI-22 welcomes submissions on mainstream AI topics as well as novel crosscutting work in related areas.

JCT College of Engineering and Technology, Coimbatore

Recent years have witnessed the evolution of Artificial Intelligence [AI] techniques like deep learning, machine learning, pattern recognition, Natural language processing [NLP], and computer vision and their revolutionary applications in the emerging smart city and industrial automation applications. In this scenario, AI provides smart and efficient tools for smart energy systems to perform smart electricity generation, emergency response, and delivery. The integration of renewable energy sources into the smart grid is made easier by using Artificial intelligence technologies. Meanwhile, Machine Learning the subset of Artificial intelligence provides some security and privacy assessment tools to the evolving smart energy grids. As Artificial Intelligence [AI] techniques are still remaining in the initial stage to revolutionize the way we generate, transmit and consume the energy in the smart city and industrial infrastructure. It is clearly known that the integration of AI in smart energy models will deliver a wide range of potential research opportunities to the smart energy management community. The main goal of the International Conference on Artificial intelligence and Smart Systems [ICAIS 2022] organized by JCT College of Engineering and Technology, Coimbatore, Tamilnadu, India on 23-25, February 2022 is to propose, share and exchange innovative Artificial Intelligence [AI] solutions to enhance the efficiency, stability, robustness, and security of smart energy systems.

Phone: [8754818524];     Email: conf.icaisee@gmail.com

Artificial Intelligence · Capsule Networks · Smart Agent-based Systems · Machine Learning · Fuzzy based Intelligent Systems · Evolutionary Computing · Expert Systems · Human-Computer Interaction Technologies · Cognitive Intelligence · Artificial Immune Systems · Cyber-Physical Systems · Artificial life · Knowledge-based Systems · Artificial Neural Networks · Computational Intelligence · Neuro-Fuzzy Models and Techniques · Intelligent Estimation and Classification Models · Hybrid Intelligence · Internet of Intelligent Things · Quantum Computing · Cyber-Security Models and Techniques · Reinforcement Learning Smart Systems · Deep Learning based Smart Energy Systems · Innovative Energy Control and Management Techniques · AI in Renewable Energy Systems · Smart Power and Energy Systems · Distributed Energy Systems · Active Power Generation Models · Intelligence Fault Diagnosis and Maintenance Technologies · Smart Process monitoring and Control Strategies · Techniques to Reduce Energy Consumption · Smart Energy Optimization Techniques · Neural Estimation for Energy Consumption · Predictive Control, planning and Scheduling algorithms · Dynamic Control of Energy Systems · Distributed Computing and Control in Energy Systems · Secured and Privacy-preserving analytics for Smart Energy Systems · Innovation Quantum Computing Processes in Energy Systems

ACMSC

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

Information Retrieval; Intelligent System Architectures; Knowledge Representation; Knowledge-based Systems; Mechatronics; Multimedia & Cognitive Informatics; Artificial Intelligence Tools & Applications; Automatic Control; Bioinformatics; Natural Language Processing; Enterprise asset management with IoT and blockchain; Facilities management with IoT and blockchain; System engineering with IoT and blockchain; IoT platform based on blockchain; Alternative proof of work algorithms; Cyberattacks on blockchains; Economic impact on cyberattacks

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

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

Mathematical Sciences Research Institute (MRSI)

2022 7th International Conference on Machine Learning Technologies (ICMLT 2022) is going to take place at Rome, Italy during March 11-13, 2022.

Phone: [+86-28-83207566];     Email: Vera_qh@outlook.com

Adaptive systems; Business intelligence; Biometrics; Bioinformatics; Data and web mining; Intelligent agent; Financial engineering; Inductive learning; Geo-informatics; Pattern Recognition; Logistics; Intelligent control; Media computing ; Neural net and support vector machine;

YOUNG

2022 7th International Conference on Mathematics and Artificial Intelligence (ICMAI 2022) will be held during March 18-20, 2022 in Chongqing, China.

Phone: [+86-182-1565-4293];     Email: saraxc17@163.com

Mathematical Foundations ; Mathematics, general; Artificial Intelligence (incl. Robotics); AI and Digital Entertainment ; Information Agents; Information Retrieval and Extraction; Knowledge Acquisition ; Knowledge Engineering; Human Computer Interaction ; Metacognition in Artificial Agents ;

ACMSC

MLHMI 2022 will be held in Singapore during March 18-20, 2022 together with the main conference.

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

Machine learning methods; Learning and adaptive control; Learning/adaption of recognition and perception; Learning for Handwriting Recognition; Learning in Image Pre-Processing and Segmentation; Learning in process automation; Learning of appropriate behaviour; Learning of action patterns; Learning robots; User experience research, usability testing and interaction design; Mobile, ubiquitous and pervasive computing; Technology adoption, trust, user engagement and retention; Cognitive science in human-computer interaction; Humanization of interactive technology; eHealth, digital healthcare studies and usability of medical devices; Affective computing, digital empathy, empathic design, positive computing and emotional aspects in human computer interaction; Human-data interaction and interactive machine learning; Ethnographic studies in human computer interaction; Human-robot interaction studies;

Sponsored by the SIAM Activity Group on Imaging Science.

Tiny machine learning (tinyML) is a fast-growing field of machine learning technologies enabling on-device sensor data analytics at extremely low power, typically in the milliwatt range and below. The tinyML ecosystem is fueled by (i) emerging commercial applications and new systems concepts on the horizon; (ii) significant progress on algorithms, networks, and models down to 100 kB and below; and (iii) current low-power applications in vision and audio that are already becoming mainstream and commercially available. There is growing momentum demonstrated by technical progress and ecosystem development in all of these areas. The tinyML research symposium serves as a flagship venue for related research at the intersection of machine learning applications, algorithms, software, and hardware in deeply embedded machine learning systems.

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

RIOROB

2022 the 8th International Conference on Mechatronics System and Robots (ICMSR 2022) will take place in Singapore during April 14-16, 2022.

Phone: [+86-010-80699230];     Email: riorob@robotics.ac.cn

Complex mechanical-electro-liquid System; Mechanism and Machine Science; Computer-aided Geometric Design & Simulation; Flexible Manufacturing Technology & System; Artificial Intelligence; Bio-inspired robotics; Control algorithms and control systems; Sensor integration, fusion, and perception;

RIOROB

2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI 2022) will be held in Singapore during April 14-16, 2022. RAAI is hosted by Beijing Institute of Control Robotics and Intelligent Technology (BICRI).

Phone: [+86-18010579209];     Email: riorob@robotics.ac.cn

Artificial intelligence; Artificial muscle actuators; Chaotic systems and control; Computational intelligence; Discrete-event systems; Emerging technology; Evolutionary computation; Feature extraction; Optimal control, and robust control; Pattern and object recognition and tracking; Power electronics and motors; Robotic systems;

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

Courses and Events for Math Students and Early Career Researchers,    Systems Biology and Computational Biology

YOUNG

ISAI 2022, which is the workshop of ICCCBDA 2022 (2022 7th IEEE International Conference on Cloud Computing and Big Data Analytics). It's event on research related to learning and reasoning in the presence of AI. ISAI 2022 will be held in Chengdu, China, on April 22-24, 2022. It organized by Sichuan Institute of Electronics and Xihua University, co-organized by Southwest Jiaotong University and Sichuan University, China; technically supported by Key Lab of Cloud Computing & Intelligent Technology, Sichuan Province, and Chongqing University of Posts and Telecommunications, ect.

Phone: [132-9000-0002];     Email: saraxc17@163.com

AI and Creativity; Deep Learning; Evolutionary Computing; Fuzzy Systems; Hybrid Intelligent Systems; Industrial Applications of AI; Intelligence and Cybersecurity; Intelligent User Interfaces; Knowledge Representation and Reasoning; Knowledge-Based Systems; Ambient Intelligence; Machine Learning; Model-Based Reasoning; Natural Language Processing; Neural Networks;

RIOROB

2022 3rd International Conference on Artificial Intelligence Innovation (ICAII 2022) will be held in Shenzhen, China during April 23-25, 2022,

Phone: [+86-19130670943];     Email: riorob@robotics.ac.cn

Artificial Intelligence and Technology; Natural Language Processing; Computer Vision; Bioinformatics; Robotics and Related Fields; Expert Systems; Multi-agent Systems; Speech Understanding; Knowledge Engineering; Distributed Intelligent Processing; Concurrent and Parallel Processing; Intelligent Database Systems; Supervised and Unsupervised Learning; Neural Network Theory and Architectures ;

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

The South Asia Institute of Science and Engineering

2022 2nd International Conference on Computer Communication and Artificial Intelligence (CCAI 2022) will be held in Beijing, China on May 6-8, 2022.

Phone: [+86-18123342942];     Email: brandon@saise.org

Artificial Intelligence and Machine Learning; Blockchain Technology; Computer Architecture; High-Performance Computing; Parallel and Distributing Computing; Software Engineering and Knowledge Engineering; AI in Communication; Big Data; Artificial Intelligence and Technology; Natural Language Processing; Computer Vision; Bioinformatics; Distributed Intelligent Processing; Concurrent and Parallel Processing; Intelligent Database Systems;

The South Asia Institute of Science and Engineering

2022 2nd International Conference on Human–Machine Interaction (ICHMI 2022) will be held in Beijing, China on May 6-8, 2022.

Phone: [+86-15928616367];     Email: brandon@saise.org

Active Vision; Agents and Multi-Agent Systems; Applications of Perception; Artificial Intelligence; Brain Machine Interfaces; Cognitive Engineering; Collaborative Design and Manufacturing; Distributed Intelligent Systems; Intelligent Transportation; Systems Integration and Collaboration; Systems Safety and Security; Team Performance; Video Processing; Virtual Reality; Pattern Recognition; Machine Learning;

Society of Exploration Geophysicists (SEG)

This workshop will discuss the challenges, opportunities, and trends related to the adoption of ML in geoscience research and industrial workflows. Professionals from academia, environmental, energy, and technology companies will present applications and case studies, promote discussion, and propose practical solutions to take greater advantage of ML and AI methods.

Geophysics and Geology,    Scientific Computing

Beilstein-Institut

Since 1988, the Beilstein Bozen Symposia have addressed many different themes. In recent times the focus has been on selected interdisciplinary aspects of chemistry and biology.

Modeling and Simulation,    Scientific Computing

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

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;

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

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;

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

Mathematical Physics,    Scientific Computing

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

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;

CIRM – Centre International de Rencontres Mathématiques

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

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.

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

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)

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