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SUMMARY:2nd SMASHING Workshop
DTSTART:20261019T070000Z
DTEND:20261023T120000Z
DTSTAMP:20260527T202900Z
UID:indico-event-55@indico.ung.si
DESCRIPTION:This workshop is the second network meeting of the SMASH proje
 ct (here you can find the first edition https://indico.ung.si/event/35). S
 MASH is a multidisciplinary program centered on developing cutting-edge Ma
 chine Learning (ML) and Artificial Intelligence (AI) applications for scie
 nce and humanities. These include climate science\, precision medicine\, f
 undamental physics and linguistics.  It is co-funded by the European Unio
 n via the Marie Skłodowska-Curie COFUND action and connects scholars from
  five top-level institutions in Slovenia with 25 associated partners\, Slo
 venian businesses and academic institutions globally.\nThe Second SMASHING
  workshop will gather scientists working in the SMASH research areas with 
 the aim to create a multi-disciplinary environment that will foster knowle
 dge exchange between different fields and between academia and industry\, 
 thereby building the SMASH community. The workshop will be structured arou
 nd discussions of different classes of ML/AI techniques\, followed up with
  examples on the successful application in SMASH research areas. More spec
 ifically the workshop will focus on:\n\nAgentic AI approaches to science\n
 Foundation models\nGenerative models and computer vision\nStatistical appr
 oaches (simulation based inference\, etc) \nGraphs/transformers and time 
 series\n\nIn addition to invited talks the workshop will have discussion s
 essions and there will be plenty of time to exchange ideas and build the c
 ommunity. \nSpeakers include:\n\n\nMatteo Cagiada (University of Copenhag
 en and Oxford University)\, Deep learning\, generative models\, protein st
 ability\, protein folding\n\nImad Haddad (Paul Scherrer\, Switzerland)\, M
 L assisted Modeling of different air pollutants and impact on EU regulatio
 ns \nGad Schaulsky (Baylor College of Medicine\, Houston\, USA)\, Agentic 
 approach to studies of the Dictyostelium discoideum\nLili Yang (Sun Yat-se
 n University\, China)\, Selected AI techniques application to neutrino and
  gamma-ray astrophysics\nJure Zupan (University Cincinnati\, USA)\, Simula
 ting Particle Physics Hadronization with Machine Learning\n\n \n\n\nhttps
 ://indico.ung.si/event/55/
IMAGE;VALUE=URI:https://indico.ung.si/event/55/logo-3156997623.png
LOCATION:Lanthieri Mansion\, Vipava
URL:https://indico.ung.si/event/55/
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