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DTSTART:20230312T070000
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DTSTART;TZID=America/Toronto:20240207T103000
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URL:/computer-science/events/seminar-ai-learning-genera
 tive-models-from-a-control-perspective-for-scientific-discovery
SUMMARY:Seminar • Artificial Intelligence • Learning Generative Models\
 nfrom a Control Perspective for Scientific Discovery
CLASS:PUBLIC
DESCRIPTION:Summary \n\nPLEASE NOTE: THIS SEMINAR WILL TAKE PLACE IN DC 130
 4.\n\nDINGHUAI ZHANG\, PHD CANDIDATE\n_Mila_\n\nAdvancements in scientific
  discovery have always been at the forefront\nof human endeavor\, particul
 arly in complex domains such as molecule\nsynthesis. The intrinsic challen
 ges in these fields stem from two main\nfactors: the vast and combinatoria
 lly complex high-dimensional search\nspaces\, and the costly evaluation of
  scientific hypotheses. Therefore\,\nleveraging machine learning offers a 
 promising avenue to expedite the\nscientific discovery process.\n 
DTSTAMP:20250524T153554Z
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