BEGIN:VCALENDAR
PRODID:-//T4Science Presentation Calendar//
VERIONS:2.0
BEGIN:VEVENT
SUMMARY:Artificial Intelligence and Applications in Research (by Andreas T
 rügler)
DTSTART:20191219T110000Z
DTEND:20191219T120000Z
DTSTAMP:20191122T120314Z
UID:presentation-100.series-5
DESCRIPTION:Machine learning\, neural networks and artificial intelligence
  are becoming almost inflationary buzzwords\, nevertheless these technique
 s increasingly shape and influence science and society. Data-driven algori
 thms allow to cope with the tremendous amounts of data in modern experimen
 ts\, ranging from particle [1] to astrophysics [2]. Especially for earth-o
 bservations there are also numerous examples where so-called deep learning
  networks [3] or a combination of different algorithms [4] can lead to new
  insights and open up new possibilities beyond established statistical met
 hods. \nIn this talk I will be giving a brief introduction to modern data 
 science methods and discuss some recent applications in science and resear
 ch. I will highlight pros and cons of these algorithms and focus on exampl
 es from weather and climate research.\n\n[1] Alexander Radovic et al.\, Na
 t. 560\, 41-48 (2018) \n[2] M. Garofalo et al.\, Proc. Int. Astr. U.\, 12(
 S325)\, 345-348 (2016)\n[3] Markus Reichstein et al.\, Nature 566\, 195–
 204 (2019)\n[4] Thomas Weber et al.\, Nat. Com. 10\, 4584 (2019)
LOCATION:SR Wegener Center\, Brandhofgasse 5\, 1st floor
ORGANIZER;CN="Douglas Maraun";ROLE=CHAIR:MAILTO:douglas.maraun@uni-graz.at
END:VEVENT
END:VCALENDAR