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Events for January 16, 2020

  • Viterbi Get Connected Fair

    Thu, Jan 16, 2020 @ 11:00 AM - 02:00 PM

    Viterbi School of Engineering Student Affairs, Viterbi School of Engineering Student Organizations, Viterbi School of Engineering Undergraduate Admission

    Receptions & Special Events

    Would you like to join a club, organization, or design team?

    Come by the Get Connected Engineering Involvement Fair Thursday, January 16th from 11:00 AM-2:00 PM in the Epstein Family Plaza (E-Quad).

    There will be plenty of booths for you to choose from! All you have to do is walk up and start talking with a representative to learn more about them.

    You are bound to find at least one club, organization, or design team that is right for you, or you can just attend to learn more about the different that Viterbi has to offer. Hope to see you there!

    Location: Michelson Center for Convergent Bioscience (MCB) - 101

    Audiences: Everyone Is Invited

    Contact: Viterbi Undergraduate Programs

  • CS Colloquium: Arjun Guha (University of Massachusetts Amherst) - New Abstractions for New Programming Platforms

    Thu, Jan 16, 2020 @ 11:00 AM - 12:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars

    Speaker: Arjun Guha, University of Massachusetts Amherst

    Talk Title: New Abstractions for New Programming Platforms

    Series: CS Colloquium

    Abstract: Programmers today have to wrestle with a wide variety of programming platforms. However, traditional programming abstractions and tools were designed for an earlier era, and are often ineffective today, e.g., when building scalable cloud services, reliable robot controllers, and robust web applications. To address these kinds of challenges, we need to rethink the abstractions and tools that programmers employ.

    In this talk, we first discuss problems that arise in "serverless computing", which is a new approach to cloud computing. We carefully define an operational semantics for serverless computing, which we then use to 1) formulate correctness criteria, 2) design new modularity mechanisms, and 3) develop a serverless computing accelerator that uses language-based sandboxing and speculative optimizations.

    Next, we present fundamental limitations of the web programming model, which affect the design of JavaScript, and make it hard to build robust programming tools that run in web browsers. We address this problem by extending JavaScript with first-class continuations, and efficiently compile the extended language to run in unmodified web browsers.

    Finally, we present challenges that arise when debugging robot controllers, and why traditional debugging tools do not help. We present an interactive program repair tool, which uses a MAX-SMT solver to search for corrections to a robot state machine, given a small number of human-provided inputs.

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Arjun Guha is an associate professor of Computer Science at the University of Massachusetts Amherst. Using the tools and techniques of programming languages, his research addresses security, reliability, and performance problems in web applications, systems, networking, and robotics. His work has received an ACM SIGPLAN Most Influential Paper Award, an ACM SIGPLAN Distinguished Paper Award, an ACM SIGPLAN Research Highlight, and a Google Faculty Research Award.

    Host: Ramesh Govindan

    Location: Olin Hall of Engineering (OHE) - 132

    Audiences: Everyone Is Invited

    Contact: Assistant to CS chair

  • NL Seminar Leveraging Context for Natural Language Processing

    Thu, Jan 16, 2020 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars

    Speaker: Samee Ibraheem , UC Berkeley

    Talk Title: Leveraging Context for Natural Language Processing

    Series: Natural Language Seminar

    Abstract: Neural networks have allowed for a host of advances in natural language processing, from text classification to machine translation. However, the effects of contextual information, such as speaker gender or race, on NLP tasks is still an active area of research. In this talk, we first explore how such context can affect an NLP systems accuracy. Next, we investigate methods for incorporating additional context into a machine translation system. Finally, we investigate methods for collecting additional contextual information when the signal is sparse.

    Biography: Samee Ibraheem is a PhD student in Computer Science at UC Berkeley working with John DeNero on incorporating context for NLP applications. He received a Bachelors in Neurobiology from Harvard University and is currently supported by an NSF Fellowship.

    Host: Emily Sheng

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

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

    Location: Information Science Institute (ISI) - Conf Rm 689

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

    Audiences: Everyone Is Invited

    Contact: Peter Zamar

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

  • Gateway Lab, Powerful job and internship search tool

    Thu, Jan 16, 2020 @ 04:00 PM - 05:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions

    Take part in a live tutorial to help you navigate Viterbi Career Gateway, a powerful job and internship search tool available ONLY to Viterbi students.

    Remember to bring your laptop!

    For more information about Labs & Open Forums, please visit viterbicareers.usc.edu/workshops.

    Location: Ronald Tutor Hall of Engineering (RTH) - 211

    Audiences: All Viterbi Students

    Contact: RTH 218 Viterbi Career Connections