Tagungen und Workshops zum Thema Software-Agenten und künstliche Intelligenz

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.

Software & Support Media GmbH

The ML Summit is a big training event for all developers, IT project managers, and product owners. Experience a unique combination of cutting-edge machine learning topics with a selection of particularly high-calibre international ML experts. They will go into great detail during half-day and full-day workshops. Get to know the world of ML tools, programming languages, and technologies comprehensively. Learn in-depth knowledge from Python experts about how to successfully plan, implement and master Python projects in the long term as well. Get one of the limited places and learn concentrated, practical know-how and strategic decisions for your daily work.

Machine Learning, Pyton, Big Data, Data Science, AI, Künstliche Intelligenz, Data Analysis

Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen,    Computerprogramme

The aim of this Workshop is to provide an overview of recent advances applications and challenges in artificial intelligence, natural language processing and artificial intelligence for NLP. Furthermore, this workshop offers an opportunity for researchers and practitioners to identify new promising research directions as well as to present the latest achievements, ideas and innovations in this area. The 2nd International workshop on artificial intelligence for natural language processing (IA&NLP’21) will be held in conjunction with The 12th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN) November 1-4, 2021, Leuven, Belgium

IA&NLP;     Email: ianlpworkshop@gmail.com

Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen,    Algorithmen und Datenstrukturen

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

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

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. A substantial amount of research work is ongoing in these knowledge areas, in an attempt to discover appropriate theories and paradigms to use in real-world applications. Much of this important work is therefore theoretical in nature. However there is nothing as practical as a good theory, as Boltzman said many years ago, and some theories have indeed made their way into practice. Informatics applications are pervasive in many areas of Artificial Intelligence and Distributed AI, including Agents and Multi-Agent Systems; This conference intends to emphasize this connection, therefore, authors are invited to highlight the benefits of Information Technology (IT) in these areas. Ideas on how to solve problems using agents and artificial intelligence, both in R&D and industrial applications, are welcome. Papers describing advanced prototypes, systems, tools and techniques and general survey papers indicating future directions are also 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 ICAART with an ISBN. Acceptance will be based on quality, relevance and originality. Both full research reports and work-in-progress reports are welcome. There will be both oral and poster sessions. Special sessions, dedicated to case-studies and commercial presentations, as well as tutorials dedicated to technical/scientific topics are also envisaged: companies interested in presenting their products/methodologies or researchers interested in holding a tutorial are invited to contact the conference secretariat.

Tel.: [+351 265 520 185];     Email: icaart.secretariat@insticc.org

Dhirajlal Gandhi College of Technology Salem, India.

In recent years, soft computing is playing a prominent role in finding optimal and sustainable solutions, where it deals with uncertainty, imprecision, and approximation to leverage robust and optimal solutions into existence. Soft computing is emerging as a combinational paradigm by integrating a set of methodologies and techniques such as artificial neural networks, fuzzy logic, fuzzy neural networks, expert systems, and genetic algorithms that are commonly used to build intelligent, automated and secured systems. Nevertheless, this 2nd International Conference on Soft Computing for Security Applications [ICSCS 2022] will offers a wide area by covering all domains of soft computing. The journal invites the findings and research work related to the application of soft computing techniques for security, optimization, and decision support. The main aim of ICSCS 2022 is to promote Soft Computing [SC] techniques such as fuzzy logic, neural network, support vector machines, evolutionary computation, machine learning and probabilistic reasoning to solve various real-time challenges.

Tel.: [09500406834];     Email: icscs.conf@gmail.com

• Novel Security Frameworks, Architectures and Protocols • Hybrid and Advanced Intelligent Systems Security and Access Control • Computer Vision • Fuzzy Sets and Systems • Neural Networks & Pattern Recognition • IoT, Cyber Physical Systems and its Security and Privacy • Biometric Authentication Schemes • Blockchain and Cryptography • Software Agents and Multi-Agent Systems • Probabilistic Reasoning • Cloud and Edge Data Authentication and Authorization • Machine Intelligence for Security, Privacy and Trust • Rough Sets & Rough Data Analysis • Database & Software Security and Threat Awareness • Evolutionary Computing • Distributed Artificial Intelligence for Security • Image Processing and Vision Analysis • Chaos Theory and Chaotic Systems • Web Intelligence, Security and Intrusion Detection • Validation and Verification of Security Protocols

Soft Computing, Evolutionäre Algorithmen, metaheuristische Optimierung, Fuzzylogik ,    Informationssicherheit und Datenschutz

University of Cyprus

IEEE EAIS 2022 will provide a working and friendly atmosphere and will be a leading international forum focusing on the discussion of recent advances, the exchange of recent innovations and the outline of open important future challenges in the area of Evolving and Adaptive Intelligent Systems. Over the past decade, this area has emerged to play an important role on a broad international level in today's real-world applications, especially those ones with high complexity and dynamic changes. Its embedded modelling and learning methodologies are able to cope with real-time demands, changing operation conditions, varying environmental influences, human behaviours, knowledge expansion scenarios and drifts in online data streams.

Tel.: [+357-22892693];     Email: george@cs.ucy.ac.cy

Evolving and Adaptive Intelligent Systems