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SUMMARY:Li Deng (Citadel)
DTSTART:20200818T163000Z
DTEND:20200818T174500Z
DTSTAMP:20260423T003231Z
UID:IASML/20
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/IASML/20/">F
 rom Speech AI to Finance AI and Back</a>\nby Li Deng (Citadel) as part of 
 IAS Seminar Series on Theoretical Machine Learning\n\n\nAbstract\nA brief 
 review will be provided first on how deep learning has disrupted speech re
 cognition and language processing industries since 2009. Then connections 
 will be drawn between the techniques (deep learning or otherwise) for mode
 ling speech and language and those for financial markets. Similarities and
  differences of these two fields will be explored. In particular\, three u
 nique technical challenges to financial investment are addressed: extremel
 y low signal-to-noise ratio\, extremely strong nonstationarity (with adver
 sarial nature)\, and heterogeneous big data. Finally\, how the potential s
 olutions to these challenges can come back to benefit and further advance 
 speech recognition and language processing technology will be discussed.\n
LOCATION:https://researchseminars.org/talk/IASML/20/
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