Computational Sciences  and AI in Industry (CSAI): new digital technologies for solving  future societal and economical challenges

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The advances in technology and the ever-growing role of digital sensors and computers in science have led to an exponential growth in the amount and complexity of (big) data that scientists and industries collect. Artificial Intelligence (AI) is getting closer and closer to Human Intelligence, and in the future, it has to be able to create the greatest value for all stakeholders: not only for the industry and users, but for the society as well. One great example where all actors benefit from the use of AI can be seen in healthcare.

Meanwhile, the data algorithmics of Computational Sciences are already improving performance and productivity in several industrial sectors. For example the proliferation of sensors installed on complex systems at every level of industry help both to fine-tune service in real time and to regulate all production sequences at the highest possible level. While these principles are mainly applied in the industry, there is no reason why they would not work for society as well.

The knowledge of Computational Sciences should not ignore the knowledge of AI, but has to benefit from its new technologies in an win-win alliance. While the impact of AI can provide a major competitive advantage for businesses and even for societal issues, Computational Sciences can provide new and innovative solutions for problem solving with algorithms boosted with the use of big data and AI. Together, these scientific fields have great potential to offer solutions not only to industrial issues, but also to the vast societal challenges of today.

This ECCOMAS thematic conference will explore the possibilities and challenges of applying Computational Sciences and AI-expert systems in the industrial sector, such as transport, medicine, finance, police investigation, and more. Conference topics include, among others: innovations and industrial or societal applications of the fields in question, big data analysis and processes, intelligence issues, algorithms for problem-solving and those used with big data and AI, tools and emerging technologies, deep and machine learning, and optimization.

Everyone interested in these issues is warmly welcome to participate and contribute.

CSAI Conference brochure (pdf)


Extended deadline for abstracts is 31 March 2019. Submit an abstract.


CSAI is a satellite conference of ICIAM2019. 



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