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X-WR-CALDESC:Centro Tecnológico de Castilla y León
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DTSTART;TZID=Europe/Madrid:20230517T100000
DTEND;TZID=Europe/Madrid:20230517T164500
DTSTAMP:20230510T133641Z
CREATED:20230510
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SUMMARY:Machine/Deep Learning applications at industry
DESCRIPTION:AI4LABOUR IS THE HORIZON 2020 MSCA-RISE EUROPEAN PROJECT: ‘RESHAPING LABOUR FORCE PARTICIPATION WITH  ARTIFICIAL INTELLIGENCE’\n \nProgram\n10:00 – Welcome and introductions\nMeltem Ucal. Professor of Economics. Kadir Has University\n10:15 – «Optimization of the automation of production lines in the industry»\nDr. Erik Skibinsky Gitlin. Machine Learning Engineer. ITCL Technology Centre\n12:00 – «Unboxing artificial learning models for robust industrial ai applications: an overview of interpretability and explainability methods in high dimensional setting»\nZafer Doğan. Asst. Professor of Electrical and Electronics Engineering Koç University\n12:45 – «Role of machine learning in digital transformation»\nSelçuk Öğrenci. Asst. Professor of Engineering and Natural Sciences Kadir Has University\n13:30 – Comfort Break\n14:00 – «A beginner’s guide to machine learning and deep learning»\nDr. Maria Navas. Postdoctoral Researcher at the Ontology Engineering Group Technical University of Madrid\n14:45 – «Situational extended intelligence: (re)placing joint human-machine intelligence in real-world contexts»\nMehmet Aydin. Assoc. Professor of Management Information Systems. Kadir Has University\n15:30 – Comfort break\n15:45 – «Why ml for industry is different than ml for research»\nKayra Kakcioğlu. Co-founder. CEO Datalobster Company\n16:30 – Closing remarks\n \nThis project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101007961.\n
URL:https://itcl.es/en/events/machine-deep-learning-applications-at-industry/
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