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UID:436@lincs.fr
DTSTART;TZID=Europe/Paris:20190221T140000
DTEND;TZID=Europe/Paris:20190221T150000
DTSTAMP:20190222T145906Z
URL:https://www.lincs.fr/events/ending-the-era-of-information-overload-and
 -cognitive-fatigue/
SUMMARY:Ending the Era of Information Overload and Cognitive Fatigue
DESCRIPTION:\nIn the post-digital era we face the risk of cognitive
 insufficiency in the attempt of dealing with the increasing exposure to
 large volume of data like chats\, emails\, multimedia\, etc. Today\, Big
 Data systems are still far from human level understand and so inadequate to
 rescue our cognitive needs. State-of-art Natural Language Processing
 systems are mostly successful in the understanding and linking of key
 entities and concepts to external knowledge repositories in specific
 domains. However\, a higher level understanding of unstructured data is
 required to unveil the shades of meanings for a deeper semantic
 interpretation.\n\n\n\nIn order to understand and interpret the growing
 volume of unstructured data\, we must go deeper to uncover the real meaning
 of content while doing it at scale and in real time. Towards this vision\,
 this talk will present advanced machine learning algorithms to understand
 unstructured multi-modal contents (e.g.\, social posts\, emails\,
 multimedia) at a deep semantic level. This research enables users to
 understand\, organize and absorb the ever-growing amount of information
 along with the different viewpoints therein. Our results are proved to be
 highly accurate with scalable training\, to work with real-time queries\,
 and to support fast dynamic updates. The output of this research is meant
 to change the way we interact\, learn\, teach - revolutionizing the way we
 communicate.\n\n\n\nBio\n\n\n\nAlessandra Sala is the Head of the Bell-Labs
 Analytics Research. In her prior appointment\, she was the technical
 manager for the Data Analytics and Operations Research&nbsp\;group in Bell
 Labs Ireland. Before that\, she held a research associate position in the
 Department of Computer Science at University of California Santa Barbara.
 During this appointment\, she was a key contributor of several funded
 proposals from National Science Foundation in USA and her research was
 awarded with the Cisco Research Award in 2011. She focused her research on
 modeling massive graphs with an emphasis on mitigating privacy threats for
 Online Social Network users. Before that\, she worked for two years as
 post-doctoral fellow with the CurrentLab research group led by Prof. Ben
 Y.Zhao. Before UCSB\, she completed her Ph.D in Computer Science at
 University of Salerno\, Italy.\n\n\n\nHer research focus lies on
 distributed algorithms and complexity analysis with an emphasis on graph
 algorithms and privacy issues in large scale networks. In her previous
 research she has developed efficient distributed systems that support
 robust and flexible application level services such as scalable search\,
 flexible data dissemination\, and reliable anonymous communication.\n
CATEGORIES:Seminars,Youtube
LOCATION:Paris-Rennes-Nice Room (EIT Digital)\, 23\, avenue d'Italie\,
 Paris\, 75013\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=23\, avenue d'Italie\,
 Paris\, 75013\, France;X-APPLE-RADIUS=100;X-TITLE=Paris-Rennes-Nice Room
 (EIT Digital):geo:0,0
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