Tagungen und Workshops zum Thema Software-Agenten und künstliche Intelligenz

Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen,    Soft Computing, Evolutionäre Algorithmen, metaheuristische Optimierung, Fuzzylogik

Beijing Jiaotong University

2020 International Symposium on Automation, Information and Computing (ISAIC 2020) will be held in Beijing, China from December 2nd-4th, 2020. ISAIC is a flagship annual international conference on computational intelligence, promoting all aspects of theory, algorithm design, applications and related emerging techniques. As a tradition, the ISAIC 2020 will co-locate a large number of topics within or related to computational intelligence, thereby providing a unique platform for promoting cross-fertilization and collaboration. The ISAIC 2020 will be featured by keynote speeches, oral presentations and poster sessions.

Tel.: [+86 15527160416];     Email: isaic@confiswee.com

Artificial Intelligence; Networked Control; Systems Engineering; Computer Architecture; Wireless Sensor Networks; MEMS and Micro Devices; Modelling and Simulation; Supply Chain and Logistics ; Human Computer Interaction; Robust and Adaptive Control; Metrology and System Reliability; Communications and Networks; Information and Network Security; Intelligent Machine Interface Design; Big Data and Knowledge Engineering; Machine Vision and Image Processing; Robot Control and Intelligent sensors; Computer Graphics and Visualization; Virtual Reality and Augmented Reality; Power, Energy and Industry Application; Control Methodologies and Applications; Software Testing and Reuse Applications ; Optimization and Decision Making Support; Information Technology and Cloud Computing ; Non-destructive Testing and Condition Monitoring; Process Modelling, Control and Optimal Design works; Multimedia Systems and System Diagnosis and Identification; Digital Manufacturing and Enterprise Technologies Applications ; Flexible Manufacturing and Computer-integrated Manufacturing; Autonomous Systems and Security Making Support Sensor Integration; Neural Networks, Fuzzy Logic, Genetic Algorithms and Machine Learning

ODSC

AI plays an essential role in businesses and potential will be utilized across a wide variety of industries in the future. Join us at the Virtual AI Expo @ODSC APAC 2020, on December 8-9th 2020 to learn about the latest industry trends, stay on top of innovations, and create new opportunities for your business. This is a unique opportunity to access and interact with industry leaders from wherever you are in the world!

Email: info@odsc.com

Data Science, ODSC APAC, AI, Artificial Intellgence

National Information Processing Institute in Warsaw (Poland), Polish-Japanese Academy of Information Technology in Warsaw (Poland), Lodz University of Technology in Lodz (Poland), Systems Research Institute Polish Academy of Science in Warsaw (Poland)

MIDI Conference offers a unique opportunity to bring together researchers and practitioners working in diverse areas of artificial intelligence and human-technology interaction. Since 2020 the scope of MIDI Conference has been extended to interactions between humans and “smart” systems based on various types of machine intelligence. Due to the current circumstances and the uncertainty surrounding the COVID-19 pandemic, the MIDI Conference will be held as a virtual reality event.

Conference proceedings will be published in Springer Advances in Intelligent Systems and Computing series. Accepted papers presented during the conference and peer-review accepted in the conference proceedings with at least one registered author will also be submitted to ISI Citation Index, EI Engineering Index, ACM Digital Library, DBLP, SCOPUS, Google Scholar and Springer link.

Due to circumstances relating to the world-wide pandemic the organisers of 8th MIDI Conference decided that the conference will be available free of charge for both presenting and non-presenting participants.

Machine Intelligence, Digital Interaction, Artificial Intelligence, Semantic Text Analysis, Human-Computer Interaction, User Experience.

Allgemeine und fachübergreifende Veranstaltugen in Informatik,    Benutzerschnittstellen, User Experience

JCT College of Engineering and Technology, TamilNadu, India

In recent years, smart systems and control science are entering into a new technology phase. This initiative reflects new challenges and stimulates the need of rapid research awareness on realizing various smart systems and control strategies into existence. The 5th International Conference on Inventive Systems and Control [ICISC 2021] which is to be held on 7-8 January 2021 at JCT College of Engineering and Technology, Coimbatore, India will initiate an open forum for academicians, researchers and industrialists where the recent advances in control science and systems engineering can be extensively discussed, shared and examined. ICISC 2021 is solely dedicated to publish high-quality and transferable innovations across all the aspects in the fields of inventive smart systems and control science with an extensive interest in the areas of formulation, implementation and analysis in the fields of control and information science.

CONFERENCE CHAIR;     Tel.: [8754818524];     Email: contct.icisc@gmail.com

Xeo Marketing & Strategic Consultancy Inc.

Canadian Channel Partners (CCP) Conference, hosted by Xeo Marketing, brings Technology Vendors and Channel Partners across Canada and the US under an umbrella to share knowledge, discover opportunities and network to form strategic partnerships. CCP2021, taking place on Jan 19 & 20 both virtual and onsite, focuses on pushing channel growth through the COVID barrier via a series of insightful keynotes, an interactive 3D virtual platform and a safe in-person networking environment at the Westin Harbour Castle, Toronto. In the upcoming event, CCP2021 has supercharged the 2-day conference with insightful keynotes & workshops that help grow MSP business. Besides keynotes on Unified Communications, Cyber Security, SD-WAN, etc., the event is joined by top analysts from Forrester to discuss Channel Trends in 2021, and US/Canadian government representatives who will host workshops on winning IT government projects.

Marketing Manager;     Tel.: [647 675 8850];     Email: jack.t@xeo.marketing

MSP, VAR, Channel Partners, Technology, Cybersecurity, Unified Communications, Cloud, Artificial Intelligence, Blockchain

Mobilcomputing & Telekommunikation,    Informationssicherheit und Datenschutz

Association for the Advancement of Artificial Intelligence (AAAI)

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

The purpose of the International Conference on Agents and Artificial Intelligence is to bring together researchers, engineers and practitioners interested in the theory and applications in the areas of Agents and Artificial Intelligence. Two simultaneous related tracks will be held, covering both applications and current research work. One track focuses on Agents, Multi-Agent Systems and Software Platforms, Distributed Problem Solving and Distributed AI in general. The other track focuses mainly on Artificial Intelligence, Knowledge Representation, Planning, Learning, Scheduling, Perception Reactive AI Systems, and Evolutionary Computing and other topics related to Intelligent Systems and Computational Intelligence.

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

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

Uncertainty pervades all areas of the natural sciences, engineering, and operations research. Such uncertainty may arise due to noisy measurements, model ambiguity, or unknown parameters. Moreover, optimal decision making under uncertainty is crucial to arrive at reliable solutions, which are resilient to catastrophe. Despite the inherent need to do so, including uncertainty in our models in the form of random parameters leads to a veritable explosion in the dimension of the resulting optimization or control problems; especially for models of complex engineering systems. Recent advances in the fields of uncertainty quantification and machine learning present exciting opportunities to help combat this curse of dimensionality. This workshop is intended is to join researchers in optimization under uncertainty, uncertainty quantification, and machine learning, whose work stands to benefit from cutting-edge machine learning techniques for intricate, data-driven models of real-world phenomena.

Kurse und Veranstaltungen für Studenten der Mathematik,    Optimierungsrechnung, Entscheidungsunterstützung

JCT College of Engineering and Technology

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 2021] organized by JCT College of Engineering and Technology, Coimbatore, Tamilnadu, India on 25-27, March 2021 is to propose, share and exchange innovative Artificial Intelligence [AI] solutions to enhance the efficiency, stability, robustness, and security of smart energy systems.

Tel.: [8754818524];     Email: conf.icaise@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

The Conference is organized by India International Congress on Computational Intelligence (IICCI)

The main objective of ISMSI 2021 is to present the latest research and results of scientists related to Intelligent Systems, Metaheuristics & Swarm Intelligence topics. This conference provides opportunities for the delegates to exchange new ideas face-to-face, to establish business or research relations as well as to find global partners for future collaborations. We hope that the conference results will lead to significant contributions to the knowledge in these up- to- date scientific fields.

International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)

AAMAS is the largest and most influential conference in the area of agents and multiagent systems, bringing together researchers and practitioners in all areas of agent technology and providing and internationally renowned high-profile forum for publishing and finding out about the latest developments in the field. AAMAS is the flagship conference of the non-profit International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).

Visvesvaraya Institute of Technology, Bangalore.

In the recent past, soft computing approaches are emerging as an effective initiative to solve various complex and computationally intensive challenges. Recently, Soft computing approaches have been proven to be a successful multi-criteria solution for sustainable systems ranging from ecology to societal infrastructure. The International Conference On Evolutionary Computing And Mobile Sustainable Networks (ICECMSN 2021) organized by Sir M. Visvesvaraya Institute of Technology, on 20-21, May 2021 attempts to conceive a platform to foster new research insights on sustainable design and analysis of various emerging intelligent sustainable systems on their control and engineering applications. ICECMSN 2021 invites researchers, academicians, industrialists and research scholars to share and exchange their valuable research insights on soft computing methodologies and approaches to effectively solve the challenges related to sustainability.

Tel.: [09486849591];     Email: icecmsn.conf@gmail.com

EVOLUTIONARY COMPUTING Memetic Algorithms & Genetic Algorithms Advanced Evolutionary Design Swarm/ Collective Intelligence Evolutionary Search and Meta-heuristics Agent-based Systems and Artificial Life Evolutionary Multi-objective Optimization Particle Swarm Optimization Meta-Heuristics and Intelligent Evolutionary Search Evolvable/Adaptive Hardware and Systems Advanced Genetic Algorithms Complex-adaptive systems and Biocomputing Evolutionary game theory and Evolutionary scheduling Quantum Computing and Nano Computing Bio-Inspired Hardware Systems and Software Practices Evolution Strategies and Evolutionary Programming in Swarm Intelligence Differential Evolution in Artificial Immune Systems Evolutionary Computation in Bioinformatics Evolutionary Computation in AI Evolutionary Multi-objective Optimization Models Evolutionary Applications in Games and Entertainment Technologies Evolutionary Robotics, Industrial and Real World applications Artificial Intelligence MOBILE SUSTAINABLE NETWORKS Internet of Things Big Data Sustainable Energy, Grids, and Networks Green Wireless Sensor Networks Energy-Efficient Sensor Networks Cognitive Mobile and 5G Networks Renewable Energy Sources for Communication Networks Sustainable Energy-Efficient UAV-based Networks Field Trials of Sustainable Networking and Computing Energy-Efficient 5G Network Models and Applications Software-Defined Networking (SDN) Network Function Virtualization (NFV) Sustainability in Wireless Body Area Network (WBAN) & Vehicular Networks Green Data Centers and Computing Architectures Smart Embedded Networks and Ubiquitous Computing Models Low-Power Local and Wide-Area Networks Multimedia and Real-Time Networking Models Security in Wireless Communication and Mobile Cloud Computing Sustainable Social Networks and Applications Techniques for Flexible Spectrum Usage in Wireless Communication Secured Blockchain Models Applications Cloud-based Mobile Networks and Applications Big Data Analytics Real-world Practices of Big Data Analysis

The Fields Institute for Research in Mathematical Sciences

Scheduled as part of the Focus Program on Data Science, Approximation Theory, and Harmonic Analysis

Muthoot Institute of Technology and Science, Kochi, India

ICSCC 2021 is approved by IEEE and is technically co-sponsored by IEEE Kerala section. ICSCC 2021 aims to provide a forum for researchers, industry professionals and academicians to share their insights, experiences and interaction on various aspects of evolving technologies related to Computer Science, Information Technology, Electronics, Power Systems and Energy Systems. The theme chosen by ICSCC 2021 is “Artificial Intelligence (AI) Driven Applications for a Smart World”.

Email: icscc2021@mgits.ac.in

Smart Computing, Communication and Signal Processing, Technology (Systems for a secure world), Intelligent Systems and Analytics, Smart Embedded Systems, Power Systems, Energy Systems and Power Electronics

ICAS

The Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior and junior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic. Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless. The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime.

Course Secretariat;     Email: acdl@icas.cc

Artificial Intelligence, Big Data, Cognitive Computing, Computational Cognitive Science, Constraint-Based Approaches to Machine Learning, Data Science, Deep Learning, Explainable Artificial Intelligence, General Reinforcement Learning Algorithms, Generative Adversarial Networks, Machine Learning, Probabilistic Generative Models, Probabilistic Programming, Reinforcement Learning, Robotics, Theory of Deep Learning,

Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen,    Informatik Ausbildung, Lehrgänge

The Fields Institute for Research in Mathematical Sciences

The goal of the AI Institute on AI and Society is to bring together a diverse group of thoughtful individuals at different career stages to explore some of the most critical questions we face as a society around the development and use of Artificial Intelligence. Potential impacts of AI range from specific, near-term issues such as concerns related to transparency and accountability, algorithmic bias and equity, and liability for autonomous vehicles and other automated physical systems, to longer-term disruptions to employment, economic structure, government functioning and geopolitics. Our goal is to facilitate the production of impactful research outputs that cross disciplinary boundaries of mathematics, computer science, engineering, law, sociology, philosophy, history, and art.

Benutzerschnittstellen, User Experience,    Netzgemeinschaften und Gesellschaftliche Aspekte der Informationstechnologie

Rohini College of Engineering & Technology, Tamil Nadu, India.

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. The incorporation of machine learning algorithms will make these autonomous system to become more robust and efficient under diverse societal and environment conditions. This International Conference on Machine Learning and Autonomous Systems [ICMLAS 2021] hosted and organized by Rohini College of Engineering and Technology, Tamilnadu India on 24-25 September 2021 will be an interdisciplinary platform for the researchers to contribute their research works that address the state-of-the-art technologies, development, and methodologies for the futuristic intelligent autonomous system developments and applications.

Conference Chair & Convener Principal,;     Tel.: [+91-9600368297];     Email: icmlas.conf@gmail.com

Machine Learning: Computational learning theory and applications, Knowledge discovery and acquisition, Cognitive modelling and data analysis techniques, Hybrid learning algorithms, Data and knowledge representation models, Deep learning approaches, Mutli-agent systems and learning models, Support vector machine, Intelligent information retrieval techniques, Reinforcement learning approaches, Fuzzy-based learning approaches, Machine learning for web and social network mining, Intelligent feature extraction techniques, Mobile data mining and analysis, Parallel and distributed learning algorithms, Statistical and analytical learning, Scalability and reliability of learning algorithms. Autonomous Systems: Theoretical foundations for autonomous systems, Complex and adaptive autonomous systems, Autonomous computing platforms and applications, Cognition-inspired autonomous systems, Multi-autonomous systems and applications, Autonomous algorithms and models, Adaptive and autonomous robots, Real-time autonomous systems, Smart and distributed autonomous systems, Autonomous software and operating systems, Autonomous sensors and embedded systems, Optimization and control algorithms for autonomous systems, Novel control models and structures for autonomous systems, Learning, adaptation, and estimation methods for autonomous systems, Innovative applications of autonomous systems: healthcare, agriculture, industries, military, smart cities, smart home, education, and so on.

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

The aim of this workshop is to bring together researchers working on objective Bayesian methodology, nonparametric Bayesian methods and machine learning. Objective Bayesian methods are evolving from a historically narrower focus on issues related to prior specification to research themes that are more broadly related to default methods in Bayesian statistical analysis. This naturally leads to an increasing overlap with Bayesian nonparametric modeling and machine learning. The workshop seeks to exploit this increasing intersection by bringing together participants from all three research communities.

Kurse und Veranstaltungen für Studenten der Mathematik,    Statistik, Spieltheorie