Tagungen und Workshops zum Thema Software-Agenten und künstliche Intelligenz

The International Symposium on Multi-Robot and Multi-Agent Systems (MRS) is a single-track conference to be held at Rutgers University, New Brunswick, NJ, USA, on 22-23 August, 2019. MRS is an initiative of the IEEE RAS Technical Committee on Multi-Robot Systems, and is technically co-sponsored by the IEEE Robotics and Automation Society (RAS). The submission deadline is April 8, 2019, and the acceptance notification is June 3, 2019.

Email: mrs2019@laas.fr

robotics, multi-robot systems, multi-agent systems, ieee conference

O’Reilly + Intel AI

The AI Conference attracts the brightest minds in AI: algorithm and perception engineers, research and machine learning scientists, data scientists and data engineers, program and product managers, innovation officers and business leaders who come together to share ideas and to explore the most essential—and intriguing—topics in applied AI.

Join 600+ senior technology leaders from AI chip start-ups, semiconductor companies, system vendors/OEMs, data centers, end users, financial services, investors and fund managers, to build a comprehensive architectural roadmap of the emerging AI chip market.

Angewandte Mathematik: Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen,    Computerhardware

The symposium will take place on 21-25 October 2019 at the Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico. The conference is organized by the Instituto de Ciencias Nucleares, the Coordinación de la Investigación Cientifica (UNAM), and the CERN Open Lab. The policy aspects will be organised by the OECD.

Tel.: [+41754114843];     Email: Federico.Carminati@cern.ch

Artificial Intelligence, Quantum Computing, High Energy Physics, Societal Application

ICTAI 2019: The IEEE International Conference on Tools with Artificial Intelligence (ICTAI) is a leading Conference of AI in the Computer Society providing a major international forum where the creation and exchange of ideas related to artificial intelligence are fostered among academia, industry, and government agencies.

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

The International Conference on Artificial Intelligence, Robotics & IOT (ICAIRIOT - 19) will be held on 27th & 28th November 2019 in Hong Kong. The Digital transformation due to AI, Robotics and IoT in the world is leading to more growth in Technology and Business development. These Latest trending Technologies has a great impact on many fields like Manufacturing, Automation, Control system, healthcare, energy, Transport, Defence, Space, Data mining etc. This day to day progress in Technologies Seeks more research and exploring more to find new trends coming up in this Futuristic World.

Tel.: [08208261996];     Email: abhijeet@technoarete.org

Robotik, Automatisierung & Mechatronik,    Internet der Dinge (IoT) und Sensornetze

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.

Institute for Mathematical Sciences/National University of Singapore

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

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