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UID:01a1989d-2ca1-7180-9c8c-897c62a763e9@www.devopschat.co
DTSTAMP:20261106T122746Z
DTSTART:20191002T160000Z
DTEND:20191002T170000Z
SUMMARY:AI for Social Good\, by Fei Fang (CMU+C&S Confluence Series)
DESCRIPTION:AI for Social Good:\nIntegrating Learning with Game Theory for 
 Societal Challenges\n\nBy Fei Fang\, Assistant Professor\, School of Compu
 ter Science @ CMU\n\nThere is a rising interest in developing artificial i
 ntelligence-based tools to address challenges in various security domains\
 , e.g.\, protecting critical infrastructure and cyber networks and protect
 ing wildlife\, fishery\, and forest. Motivated by these challenges\, we ha
 ve proposed game theory and machine learning based models and algorithms f
 or problems with strategic interactions among agents. In this talk\, I wil
 l introduce our models and algorithms that have led to two successfully de
 ploy applications: one used by US Coast Guard for protecting the Staten Is
 land Ferry in New York City since April 2013\, the other used in multiple 
 conservation areas around the world for anti-poaching effort. In addition\
 , I will highlight our most recent advances in integrating deep learning w
 ith game theory\, including computing equilibrium by learning from self-pl
 ay and end-to-end learning of game parameters.\n\nBio:\nFei Fang is an Ass
 istant Professor at the Institute for Software Research in the School of C
 omputer Science at Carnegie Mellon University.\nHer research lies in the f
 ield of artificial intelligence and multi-agent systems\, focusing on inte
 grating game theory and mechanism design with machine learning. Her work h
 as been motivated by and applied to security\, sustainability\, and mobili
 ty domains\, contributing to the theme of AI for Social Good. Her work has
  been deployed by the US Coast Guard for protecting the Staten Island Ferr
 y in New York City since April 2013. Her work has led to the deployment of
  PAWS (Protection Assistant for Wildlife Security) in multiple conservatio
 n areas around the world\, which provides predictive and prescriptive anal
 ysis for anti-poaching effort.\n\nAbout the CMU+C&S Confluence Talk Series
 :\n--------------------------------------------------------------\nFrom AI
 -powered computer vision to ultra-massive distributed systems\, the interw
 oven nature of the research/practice dynamic can’t be understated.\n\nCo
 nfluence is a talk series that grabs that dynamic by the horns.\n\nJointly
  produced by Carnegie Mellon University’s Institute for Software Researc
 h and Code & Supply\, Confluence is a free tech talk series will bring tog
 ether Pittsburgh’s most bleeding-edge researchers and influential front-
 line developers to learn\, inform\, guide\, and inspire one another.\n\nIn
 fo about the event:\n-----------------------------\nLight food and beverag
 es will be provided.\nPlease bring identification!\n\nhttps://www.devopsch
 at.co/meetings/ai-for-social-good-by-fei-fang-cmucs-confluence-series
URL:https://www.devopschat.co/meetings/ai-for-social-good-by-fei-fang-cmucs
 -confluence-series
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