Computational Sciences and AI in Industry (CSAI): new digital technologies for solving future societal and economical challenges
Pablo A. Kler
pabloakler at gmail.com
Wed Jan 9 10:50:22 -03 2019
lugar: Jyväskylä, FINLANDIA
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
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