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Events for February 21, 2017

  • USC Stem Cell Seminar: David Scadden, Harvard University

    Tue, Feb 21, 2017 @ 11:00 AM - 12:00 PM

    Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: David Scadden, Harvard University

    Talk Title: TBD

    Series: Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research at USC Distinguished Speakers Series

    Host: USC Stem Cell

    More Info: http://stemcell.usc.edu/events

    Webcast: http://keckmedia.usc.edu/stem-cell-seminar

    Location: Eli & Edythe Broad CIRM Center for Regenerative Medicine & Stem Cell Resch. (BCC) - First Floor Conference Room

    WebCast Link: http://keckmedia.usc.edu/stem-cell-seminar

    Audiences: Everyone Is Invited

    Contact: Cristy Lytal/USC Stem Cell

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  • CS Colloquium: Shivaram Venkataraman (UC Berkeley) - Scalable Systems for Fast and Easy Machine Learning

    Tue, Feb 21, 2017 @ 11:00 AM - 12:20 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Shivaram Venkataraman, UC Berkeley

    Talk Title: Scalable Systems for Fast and Easy Machine Learning

    Series: CS Colloquium

    Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium.

    Machine learning models trained on massive datasets power a number of applications; from machine translation to detecting supernovae in astrophysics. However the end of Moore's law and the shift towards distributed computing architectures presents many new challenges for building and executing such applications in a scalable fashion.

    In this talk I will present my research on systems that make it easier to develop new machine learning applications and scale them while achieving high performance. I will first present programming models that let users easily build distributed machine learning applications. Next, I will show how we can exploit the structure of machine learning workloads to build low-overhead performance models that can help users understand scalability and simplify large scale deployments. Finally, I will describe scheduling techniques that can improve scalability and achieve high performance when using distributed data processing frameworks.


    Biography: Shivaram Venkataraman is a PhD Candidate at the University of California, Berkeley and is advised by Mike Franklin and Ion Stoica. His research interests are in designing systems and algorithms for large scale data processing and machine-learning. He is a recipient of the Siebel Scholarship and best-of-conference citations at VLDB and KDD. Before coming to Berkeley, he completed his M.S at the University of Illinois, Urbana-Champaign.

    Host: CS Department

    Location: Ronald Tutor Hall of Engineering (RTH) - 217

    Audiences: Everyone Is Invited

    Contact: Assistant to CS chair

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  • Epstein Institute Seminar, ISE 651

    Tue, Feb 21, 2017 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Benjamin Recht , Associate Professor, UC Berkeley

    Talk Title: Optimization Challenges in Deep Learning

    Host: Dr. Suvrajeet Sen

    More Information: February 21, 2017_Recht.pdf

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

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • Seminars in Biomedical Engineering

    Tue, Feb 21, 2017 @ 04:00 PM - 05:00 PM

    Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Bruno Olshausen, Ph.D, Professor, Helen Wills Neuroscience Institute and School of Optometry Director, Redwood Center for Theoretical Neuroscience University of California, Berkeley

    Talk Title: Neural Computations for Active Perception

    Biography: http://redwood.berkeley.edu/bruno/

    Host: Bartlett Mel, PhD

    More Information: Bruno Olshausen flyer 2.pdf

    Location: Hedco Neurosciences Building (HNB) - 100

    Audiences: Everyone Is Invited

    Contact: Mischalgrace Diasanta

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