Tagungen und Workshops zum Thema Software-Agenten und künstliche Intelligenz

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.

Entwickler Akademie

Von Machine Learning über Data Science bis hin zu Python – bei den großen Trainingsevents ML & Python Summit vom 19. bis 21. April 2021, erwarten Sie zahlreiche Expert:innen, die ihr geballtes Fachwissen in 18 halbtägigen Power-Workshops mit Ihnen teilen.

Machine Learning, Python, Deep Learning, Künstliche Intelligenz, Programmierung

Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen,    Online Training, Webinare

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

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

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