Tagungen und Workshops zum Thema Software-Agenten und künstliche Intelligenz

Institute for Mathematical Sciences/National University of Singapore

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

Avast, Technische Universität in Prag (CTU)

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

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

Cybersicherheit, Cybersecurity, AI, KI, Künstliche Intelligenz

Informationssicherheit und Datenschutz,    Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen

Institute for Engineering Research and Publication (IFERP)

Welcome to Virtual Conference on UBIQUITOUS AI and MACHINE LEARNING in the month of OCTOBER 2020. We experience role of AI everywhere, it is now omnipresent. From agriculture sector to space study and exploration we feel and enjoy the presence of AI and obviously the Machine learning.Our main focus to unite all the stake holders involved in AI and Machine Learning.Ubiquitous AI-driven software that utilizes deep learning and machine learning models to enable conversational AI, autonomous machines, machine vision, and other AI technologies require serious engineering. We focus to create a best knowledge feast to upcoming student and workforce community.Increased computing power and sensor data along with improved AI algorithms are driving the trend towards machine learning be run on the end device, such as smartphones or automobiles, rather than in the cloud.We delighted to bring together practitioners of AI, machine learning. Filled with technical talks, our confernece is designed to teach and stimulate the audience, with top speakers sharing their own experiences, exhibiting best practices and business use cases

Conference Coordinator;     Tel.: [+91 9884078406];     Email: ai@iferp.net

Artificial Intelligence, Machine Learning, Robotics

Software & Support Media GmbH

Das Intensiv-Training für Kubernetes mit Erkan Yanar bietet während vier Workshoptagen einen praktischen und klar verständlichen Einstieg in die Open-Source-Technologie Kubernetes sowie einen Überblick von Knative: All das praxisnah, ortsunabhängig und flexibler denn je. Fachkundiges Wissen und die kompetente Betreuung von unserem DevOps-Experten können Teilnehmer*innen einfach zu sich nach Hause holen!

Der Trainer, Erkan Yanar, der als freiberuflicher Consultant mit den Schwerpunkten MySQL, Containervirtualisierung, DevOps und OpenStack tätig ist, führt die Teilnehmenden während des Seminars in Container-Technologie ein, informiert über Einsatzgebiete und zeigt konkrete Orchestrierungslösungen auf. Im diesem DevOps Camp wird zunächst der Aufbau von Kubernetes erklärt, wobei der Fokus auf der praktischen Verwendung sowie dem Ausrollen von Containern in und mit Kubernetes liegt. Alle Teilnehmer*innen erhalten Zugriff auf einen eigenen Kubernetescluster mit mindestens 3 Knoten. Neben Grundlagen und einer tiefen Einführung lernen sie auch zu verstehen, dass Kubernetes nicht nur als Orchestrierer, sondern als Rechenzentrum zu betrachten ist.

Das Programm des Trainings beinhaltet drei praxisbezogene Tage rundum Kubernetes sowie den eintägigen Workshop zum Thema Knative. Die praxisnahe Vermittlung der Inhalte wird unter anderem durch das Kennenlernen der Rollout/Deployment-Techniken ausgehändigt. Zudem erhalten die Teilnehmenden einen Überblick von den drei Komponenten von Knative. Dabei wird das Verständnis dafür, für welchen Workload/Nutzer Knative sinnvoll sei, angezielt.

Entwickler Akademie;     Tel.: [030214806650];     Email: info@entwickler-akademie.de

DevOps, Kubernetes, Container, Docker, Cloud, Microservices, Softwareadministration, Softwareentwicklung, Software Architecture, DevSecOps, Knative, remote, Training, Cluster, Open Source

Softwareentwicklung,    Datenbanktechlologie

Open Data Science Conference

The leading data science event for the West Coast is returning October 26-30, 2020. Don’t miss your chance to learn from the brightest minds in the business with over 100 workshops and trainings, speakers from cutting edge organizations, and 400 hours of content. Plus, you’ll get your chance to network with peers and meet our expert speakers. With dinner and drinks with data scientists hosted by ODSC, the ODSC Networking Reception, Meet the Experts and more, you can ignite your career in the fast-changing fields of Data Science and AI. Register now for the lowest ticket price of the year.

Rafael Oliveira;     Tel.: [5109848238];     Email: info@odsc.com

data science, deep learning, machine learning, artificial intelligence

Informations & Wissensmanagement, Big Data Computing,    Softwareentwicklung

Center of Excellence in Wireless and Information Technology, at Stony Brook University

The 16th International Conference on Emerging Technologies for a Smarter World (CEWIT2020) is taking place on November 5, 2020 virtually. CEWIT2020 is organized by the New York State Center of Excellence in Wireless and Information Technology (CEWIT) located at Stony Brook University (SBU) in New York and is co-sponsored by IEEE Region 1. CEWIT2020 is the premier international forum on critical technologies and their applications that will shape our future in the post-pandemic world: machine learning, artificial intelligence, blockchain, computational medicine, and cybersecurity. Call for Papers is being accepted until July 1, 2020. Please visit https://www.cewit.org/conference2020/Open_Call/Submission.php to submit your abstract today.

Tel.: [631-216-7018];     Email: conference@cewit.org

Machine Learning, Artificial Intelligence, Blockchain, Computational Medicine, Cybersecurity

Allgemeine und fachübergreifende Veranstaltugen in Informatik,    Informationssicherheit und Datenschutz

BIOMA is a key conference specifically focusing on bioinspired optimisation methods and their applications. This international conference provides an opportunity to the global research community in bioinspired optimisation to discuss recent research results and develop new ideas and collaborations in a friendly and relaxed atmosphere. This year, the conference will be held jointly with UQOP, an international conference on Uncertainty Quantification and Optimisation organised by the H2020 UTOPIAE network.

4th International Conference on Artificial Intelligence, Soft Computing And Applications (AISCA 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing and Applications. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field

Email: aisca@aisca2020.org

Artificial Intelligence AI Algorithms Artificial Intelligence tools & Applications Automatic Control Bioinformatics Natural Language Processing CAD Design & Testing Computer Vision and Speech Understanding Data Mining and Machine Learning Tools Fuzzy Logic Heuristic and AI Planning Strategies and Tools Computational Theories of Learning Hybrid Intelligent Systems Information Retrieval Intelligent System Architectures Knowledge Representation Knowledge-based Systems Mechatronics Multimedia & Cognitive Informatics Neural Networks Parallel Processing Pattern Recognition Robotics Semantic Web Techniques and Technologies Soft computing theory and applications Software & Hardware Architectures Soft Computing Fuzzy Systems Neural Networks Machine learning Probabilistic Reasoning Evolutionary Computing Pattern recognition Hybrid intelligent systems Software agents Morphic Computing Image processing E-commerce, e-medicine Rough Sets Symbolic machine learning Wavelet Signal or Image Processing Vision Recognition Biomedical Engineering Telecommunications Reactive Distributed AI Nano & Micro-systems Data Visualization Pervasive computing and ambient intelligence Programming Languages Reasoning and Evolution Recent Trends and Developments Web Intelligence Applications & Search

Soft Computing, Evolutionäre Algorithmen, metaheuristische Optimierung, Fuzzylogik ,    Informationstheorie und Grundlagen der Informatik

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

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

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

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

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

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