Tagungen und Workshops zum Thema Software-Agenten und künstliche Intelligenz

CZES

Welcome to the official website of the 2021 IEEE International Conference on Software Engineering and Artificial Intelligence (SEAI), which will be held in Xiamen, China during June 11-13, 2021, sponsored by IEEE and Huaqiao University, hosted by Huaqiao University, organized by College of Computer Science and Technology and CAS Spark Information Technology Institute. The event has the objective of creating an international forum for academics, researchers and scientists from worldwide to discuss worldwide results and proposals regarding to the soundest issues related to Artificial Intelligence and Software Engineering. This event will include the participation of renowned keynote speakers, oral presentations, posters sessions and technical conferences related to the topics dealt with in the Program as well as an attractive social and cultural program.

Ms. Teri Zhang;     Tel.: [+86-13096333337];     Email: Vera_qh@outlook.com

Artificial Intelligence & Applications, AI Algorithms, Software & System Quality of Service, Soft computing, Software and system testing methods, Software Engineering Techniques and Production Perspectives, Requirements engineering, Software analysis, design and modeling, Software & System Security

Softwareentwicklung,    Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen

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

AI2A 2021 is dedicated to addressing the challenges in the areas of Artificial Intelligence, Automation and Algorithms as well as its applications, presenting the latest scientific research results related to these topics. AI2A 2021 looks forward to bringing together researchers and practitioners from academia and industries to focus on related topics and establishing new collaboration in these areas.

IEEE AI Test Conference 2021

This is a great opportunity for you all if you like to learn AV simulation technology and test automation on this subject. The challenge has been supported by LG and Baidu and other companies. The winning teams will receive cash awards (from $1000 to $5000) and IEEE Challenge Certificate Award. The registration is free, and you will get a chance to publish a challenge paper on the IEEE AV-Test Challenge Workshop program. We encourage you to form a team to join the challenge. LG AV Simulator Team will provide the training sessions for you.

Email: jerry.gao@sjsu.edu

TechEx

The AI & Big Data Expo Global, the leading Artificial Intelligence & Big Data Conference & Exhibition event will take place on 6-7th September 2021 at the Business Design Centre, London and virtually on the 13-15 September 2021. It is a showcase of next-generation technologies and strategies from the world of Artificial Intelligence & Big Data, an opportunity to explore and discover the practical and successful implementation of AI & Big Data in driving forward your business in 2021 and beyond.

Event Inquiries;     Tel.: [+44 (0)117 980 9023];     Email: enquiries@ai-expo.net

Artificial Intelligence, Big Data, Data, AI, Robotics, Technology

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.

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

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