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Events for February 07, 2020

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

    Fri, Feb 07, 2020

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions

    This half day program is designed for prospective freshmen (HS seniors 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!

    Register Here

    Location: Ronald Tutor Campus Center (TCC) -

    Audiences: Everyone Is Invited

    View All Dates

    Posted By: Viterbi Admission

  • Repeating EventGrammar Tutoring

    Fri, Feb 07, 2020 @ 10:00 AM - 12:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions

    Need help refining your grammar skills in your academic and professional writing? Meet one-on-one with professors from the Engineering Writing Program, work together on your grammar skills, and take your writing to the next level!

    Sign up here: http://bit.ly/grammaratUSC
    Questions? Contact helenhch@usc.edu or amy.schroeder@usc.edu

    More Information: Grammar Tutorial FLYER.pdf

    Location: Olin Hall of Engineering (OHE) - 106

    Audiences: Graduate and Undergraduate Students

    View All Dates

    Posted By: Helen Choi


    Fri, Feb 07, 2020 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars

    Speaker: Artemy Kolchinsky, Santa Fe Institute


    Series: Natural Language Seminar

    Abstract: he information bottleneck IB has been proposed as a principled way to compress a random variable, while only preserving that information which is relevant for predicting another random variable. In recent times, the IB has been proposed and challenged as a theoretical framework for understanding why and how deep learning architectures achieve good performance. I will cover: 1. an introduction to the ideas behind IB, 2. methods for implementing information-theoretic compression in neural networks + some possible applications of such methods, 3. the current status of the IB theory of deep learning, 4. recently discovered caveats that arise for IB in machine learning scenarios.

    Biography: Artemy Kolchinsky is a postdoctoral fellow at the Santa Fe Institute (Santa Fe, NM). His work lies at the intersection of information theory, statistical physics, and machine learning. He is interested in using tools from statistical physics to derive fundamental bounds on the ability of real-world agents whether protocells, organisms, or computers to acquire and exploit information in adaptive ways.

    Host: Emily Sheng

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

    Webcast: https://bluejeans.com/298422226

    Location: Information Science Institute (ISI) - CR #1016

    WebCast Link: https://bluejeans.com/298422226

    Audiences: Everyone Is Invited

    Posted By: Peter Zamar

  • Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar

    Fri, Feb 07, 2020 @ 11:00 AM - 12:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Nikunj Mehta, Falkonry

    Talk Title: Discovering and Explaining Patterns in Industrial Multivariate Time Series Data

    Series: Center for Cyber-Physical Systems and Internet of Things

    Abstract: Complex assets and process units exhibit many different behaviors during the course of industrial operations. Identifying and removing sources of inefficiency in these operations is essential for advancing manufacturing and process operations. In this talk, we explain how classification as opposed to anomaly detection and forecasting is the essential machine learning problem for Industry 4.0. We explain the main challenges for these machine learning problems to motivate research directions. We then describe a signal processing pipeline and user interface for democratizing such machine learning and real-time processing.

    Biography: Dr. Nikunj founded Falkonry after realizing that very valuable operational data produced in industrial infrastructure goes mostly unutilized in the energy, manufacturing and transportation sectors. Falkonry has enabled companies to scale predictive operations. Falkonry has significantly improved their uptime, yield and quality. Prior to Falkonry, Dr. Mehta led software architecture and customer success for C3 IoT. Earlier, he led innovation teams at Oracle focused on database technology and led the creation of the IndexedDB standard for databases embedded inside all modern browsers. He has contributed to standards at both W3C and IETF, and is a member of the ACM.

    Host: Paul Bogdan, pbogdan@usc.edu

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    Audiences: Everyone Is Invited

    Posted By: Talyia White