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Events for the 3rd week of May

  • Repeating EventMeet USC: Admission Presentation, Campus Tour, and Engineering Talk

    Mon, May 13, 2019

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    This half day program is designed for prospective freshmen (HS juniors and younger) and family members. Meet USC includes an information session on the University and the Admission process, a student led walking tour of campus, and a meeting with us in the Viterbi School. During the engineering session we will discuss the curriculum, research opportunities, hands-on projects, entrepreneurial support programs, and other aspects of the engineering school. Meet USC is designed to answer all of your questions about USC, the application process, and financial aid.

    Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m.

    Please make sure to check availability and register online for the session you wish to attend. Also, remember to list an Engineering major as your "intended major" on the webform!

    RSVP

    Location: Ronald Tutor Campus Center (TCC) - USC Admission Office

    Audiences: Everyone Is Invited

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    Contact: Viterbi Admission

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  • Repeating EventMeet USC: Admission Presentation, Campus Tour, and Engineering Talk

    Wed, May 15, 2019

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    This half day program is designed for prospective freshmen (HS juniors and younger) and family members. Meet USC includes an information session on the University and the Admission process, a student led walking tour of campus, and a meeting with us in the Viterbi School. During the engineering session we will discuss the curriculum, research opportunities, hands-on projects, entrepreneurial support programs, and other aspects of the engineering school. Meet USC is designed to answer all of your questions about USC, the application process, and financial aid.

    Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m.

    Please make sure to check availability and register online for the session you wish to attend. Also, remember to list an Engineering major as your "intended major" on the webform!

    RSVP

    Location: Ronald Tutor Campus Center (TCC) - USC Admission Office

    Audiences: Everyone Is Invited

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    Contact: Viterbi Admission

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  • AI Seminar-Natural Language Understanding with Incidental Supervision

    Wed, May 15, 2019 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Dan Roth, University of Pennsylvania

    Talk Title: Natural Language Understanding with Incidental Supervision

    Series: Artificial Intelligence Seminar

    Abstract: The fundamental issue underlying natural language understanding is that of semantics there is a need to move toward understanding natural language at an appropriate level of abstraction, beyond the word level, in order to support knowledge extraction, natural language understanding, and communication.

    Machine Learning and Inference methods have become ubiquitous in our attempt to induce semantic representations of natural language and support decisions that depend on it. However, learning models that support high level tasks is difficult, partly since most they are very sparse and generating supervision signals for it does not scale. Consequently, making natural language understanding decisions, which typically depend on multiple, interdependent, models, becomes even more challenging.

    I will describe some of our research on developing machine learning and inference methods in pursue of understanding natural language text. My focus will be on identifying and using incidental supervision signals in pursuing a range of semantics tasks, and I will point to some of the key challenges as well some possible directions for studying this problem from a principled perspective.



    Biography: Dan Roth is the Eduardo D. Glandt Distinguished Professor at the Department of Computer and Information Science, University of Pennsylvania, and a Fellow of the AAAS, the ACM, AAAI, and the ACL.

    In 2017 Roth was awarded the John McCarthy Award, the highest award the AI community gives to mid-career AI researchers. Roth was recognized for major conceptual and theoretical advances in the modeling of natural language understanding, machine learning, and reasoning.

    Roth has published broadly in machine learning, natural language processing, knowledge representation and reasoning, and learning theory, and has developed advanced machine learning based tools for natural language applications that are being used widely. Until February 2017 Roth was the Editor-in-Chief of the Journal of Artificial Intelligence Research JAIR.

    Prof. Roth received his B.A Summa cum laude in Mathematics from the Technion, Israel, and his Ph.D. in Computer Science from Harvard University in 1995.

    Host: Nanyun Peng

    More Info: https://nlg.isi.edu/nl-seminar

    Webcast: https://bluejeans.com/s/1v5oL/

    Location: Information Science Institute (ISI) - Conf Rms #1135-1137

    WebCast Link: https://bluejeans.com/s/1v5oL/

    Audiences: Everyone Is Invited

    Contact: Peter Zamar

    Event Link: https://nlg.isi.edu/nl-seminar

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  • NL Seminar-THE BLOCKS WORLD REDUX

    Thu, May 16, 2019 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Martha Palmer , Univ of Colorado

    Talk Title: THE BLOCKS WORLD REDUX

    Series: Natural Language Seminar

    Abstract: This talk will discuss some of the challenges arising from the Blocks World scenario in the DARPA Communicating with Computers program. The actions are very simple and concrete, such as Add a block to the tower. However, even in this restricted world, getting the appropriate contextual interpretation of a sentence can be challenging, especially with respect to spatial relations. The talk will review the progress we have made so far on collecting useful data and attempting to achieve the goal of contextual interpretation. To do this we bring to bear many resources, ranging from AMR parsing to Jerry Hobbs's axiomatization of object and action definitions, to our recent merger of James Pustejovsky's Generative Lexicon GL, and VerbNet VN, i.e., GL VN. A main focus of the talk will be the ways in which we are expanding AMR annotation to encompass spatial relations and also the recovery of implicit arguments. Both expansions play into the task of maintaining a discourse structure. The talk will conclude with both short term and long term goals for our collaborations on CwC, with respect to both AMR and GL-VN.



    Biography: Martha Palmer is the Helen & Hubert Croft Endowed Professor of Engineering in the Computer Science Department, and an Arts & Sciences Professor of Distinction in the Linguistics Department, at the University of Colorado, with a split appointment. She is also an Institute of Cognitive Science Faculty Fellow, a co Director of CLEAR and an Association of Computational Linguistics ACL Fellow. She won an Outstanding Graduate Advisor 2014 Award, a Boulder Faculty Assembly 2010 Research Award and was the Director of the 2011 Linguistics Institute in Boulder, CO. Her research is focused on capturing elements of the meanings of words that can comprise automatic representations of complex sentences and documents in English, Chinese, Arabic, Hindi, and Urdu, funded by DARPA and NSF. A more recent focus is the application of these methods to biomedical journal articles and clinical notes, funded by NIH, and the geo and bio sciences, funded by NSF. She co edits LiLT, Linguistic Issues in Language Technology, and has been a co editor of the Journal of Natural Language Engineering and on the CLJ Editorial Board. She is a past President of ACL, past Chair of SIGLEX, was the Founding Chair of SIGHAN, and has well over 250 peer reviewed publications.

    Host: Xusen Yin

    More Info: https://nlg.isi.edu/nl-seminar

    Webcast: https://bluejeans.com/s/ny0H5

    Location: Information Science Institute (ISI) - CR #689

    WebCast Link: https://bluejeans.com/s/ny0H5

    Audiences: Everyone Is Invited

    Contact: Peter Zamar

    Event Link: https://nlg.isi.edu/nl-seminar

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  • Repeating EventMeet USC: Admission Presentation, Campus Tour, and Engineering Talk

    Fri, May 17, 2019

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    This half day program is designed for prospective freshmen (HS juniors and younger) and family members. Meet USC includes an information session on the University and the Admission process, a student led walking tour of campus, and a meeting with us in the Viterbi School. During the engineering session we will discuss the curriculum, research opportunities, hands-on projects, entrepreneurial support programs, and other aspects of the engineering school. Meet USC is designed to answer all of your questions about USC, the application process, and financial aid.

    Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m.

    Please make sure to check availability and register online for the session you wish to attend. Also, remember to list an Engineering major as your "intended major" on the webform!

    RSVP

    Location: Ronald Tutor Campus Center (TCC) - USC Admission Office

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Viterbi Admission

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  • Supercharge Analytics Over Large IoT Data: An OS Approach

    Fri, May 17, 2019 @ 10:30 AM - 12:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Felix Xiaozhu Lin, Purdue University

    Talk Title: Supercharge Analytics Over Large IoT Data: An OS Approach

    Abstract: This talk overviews our inquiry in systems software for taming large IoT data. I will describe two systems that target two complementary analytics paradigms: a data engine for processing large telemetry streams (hot data); a data store for querying large archival videos (cold data). The two systems exploit emerging hardware (e.g. 3D-stacked DRAM) as well as emerging workloads (e.g. neural networks). Both systems advance the state-of-the-art performance by orders of magnitude.

    Our experiences highlight the significance of designing OSes for specific scenarios, where the OSes play key roles: mapping AI to new hardware, dynamically configuring AI, and trading off among competing objectives.

    Biography: Felix Xiaozhu Lin is an assistant professor of Purdue ECE. He received PhD in CS from Rice and BS/MS from Tsinghua. At Purdue, he leads the Xroads systems exploration lab (XSEL) to accelerate and safeguard important computing scenarios. He and his students measure and build systems software with diverse techniques, including novel OS structures, kernel subsystem design, binary translation, and user-level runtimes. See http://felixlin.org for more information.

    He is a recipient of ASPLOS best paper award (2014), NSF CRII award (2015), Google Faculty Award (2016), and NSF CAREER award (2019).


    Host: Xuehai Qian, xuehai.qian@usc.edu

    More Information: 19.05.17 Felix Xiaozhu Lin_CENG Seminar.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Contact: Brienne Moore

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