We are TRASYS International, NRB Group, an ICT company with over 30 years of a successful track record working with European Institutions and Agencies, offering IT consulting, solutions and services. Our Mission is to help our clients keep up with the challenges of digital transformation by providing the right talent at the right time for the right job. To this end, we are constantly looking for talented professionals who are interested in working on challenging international projects and able to deliver high-quality results within multicultural environments. Our services include (but are not limited to) modernisation solutions, digital workspaces, cloud technologies and IT security. Our Headquarters are in Brussels, and we have active accounts and offices across Europe (i.e.

The "ICART 2020 12th International Conference on Agents and Artificial Intelligence" conference has been added to ResearchAndMarkets.com's offering. 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 "ICAART 2020 12th International Conference on Agents and Artificial Intelligence" conference has been added to ResearchAndMarkets.com's offering. With the help of artificial intelligence-powered services and tools, the heritage sector is working towards the next level of access to and (re)use of digitized collections. In recent years libraries, archives and museums have started to apply machine learning and advanced knowledge bases to contextually enrich digitized objects, audio-visual content, and texts and to make these retrievable in novel ways. In doing so institutions aim to increase the impact of their collections among a growing and diversifying audience. This special session welcomes papers that reflect upon, discuss and present the technical and societal challenges (e.g.