Upcoming Events

To submit new events to this listing please login or email jensmith@cs.wisc.edu.

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  • Tuesday, September 27, 2016 -
    11:00am to 3:00pm
    CS Lobby (near main elevators)
  • Tuesday, September 27, 2016 -
    4:00pm to 5:00pm
    1240 CS
    Matthew Layser, Kimmy Cummings, John Schmidt
    Capital One

    As consumers, we expect to be able to use our debit cards, mobile wallets and wearables to transact where and when we want. In any given moment, Capital One must make millions of decisions on whether or not to approve a transaction, and if something doesn't look right, thanks to advanced technology, we can notify you within seconds. We will present how big and fast data and other technology makes it possible to give customers the freedom to transact when and where they want and the peace of mind in knowing we're watching out for them.

    Matthew Layser is a software engineer... Read More

  • Tuesday, September 27, 2016 -
    4:00pm to 5:00pm
    Biotechnology Center Auditorium, 425 Henry Mall
    Paul Raccuglia
    Cobalt Speech and Language, Cambridge MA

    Exploratory synthesis often entails educated guesswork and innumerable failed experiments. We demonstrate a machine learning approach to using the data from failed experiments to intelligently target our exploration and uncover the relationship between physicochemical properties and reaction outcomes in the crystallization of templated vanadium selenites. This talk will review some common approaches to computationally aided materials science and exploratory synthesis, show where our work fits into this space, and discuss how we can use failure data and machine learning tools to be more... Read More

  • Tuesday, September 27, 2016 - 4:00pm
    CS 2310
    David Schlais
    UW Madison

    As modern processor pipeline depth and issue width increase, the performance penalties caused by a branch misprediction also increase, motivating the need for highly accurate branch predictors. Virtually every modern processor contains a sophisticated branch predictor to improve processor performance. Branch predictors try to find patterns within a program’s execution history in order to accurately predict the
    outcome of a given branch. This history used for prediction can be local for a given branch, global for the entire program, or
    often times a hybrid combination of both.... Read More

  • Wednesday, September 28, 2016 -
    5:00pm to 8:00pm
    CS 1240
    Hal Marz
    Google, Inc.
  • Thursday, September 29, 2016 -
    1:00pm to 5:00pm
    Union South

    The annual Madison Area Computer Sciences Job Fair brings together students seeking jobs and employers with a tech presence in the Madison area, from major, established companies to startups.  Find more information here.

  • Friday, September 30, 2016 -
    10:00am to 3:00pm
    CS Lobby (near main elevators)
  • Friday, October 7, 2016 -
    9:45am to 10:45am
    Pyle Center, Room 313, 702 Langdon St.
    George N. Phillips, Jr.
    Rice University
  • Friday, October 7, 2016 -
    1:15pm to 2:15pm
    Pyle Center, Room 313, 702 Langdon St.
    Jessica Tanenbaum
    Duke University

    The past decade has seen the emergence and expansion of the new discipline of translational bioinformatics (TBI). The field of TBI centers around the development of novel methods to transform increasingly voluminous amounts of molecular and biomedical data into improved human health. Evidence of the rise of TBI can be seen through new journal issues, textbooks, and conferences devoted to the topic. The 2011 NRC "Toward Precision Medicine" Report and the Precision Medicine Initiative announced by President Obama in 2015 have both served to magnify the importance of TBI. The... Read More

  • Friday, October 7, 2016 -
    3:30pm to 4:30pm
    Pyle Center, Room 313, 702 Langdon St.
    Keith Noto
    Ancestry.com, Manager of Computational Genomics

    AncestryDNA has genotyped over two million human samples, the largest consumer DNA database, and our research team is tasked with analyzing these data, and finding new ways to use them to connect people with their personal ancestry.

    I will discuss the machine learning problems involved in connecting people to their ancestors at three different levels. The first problem is estimating a person's admixture with respect to several established populations, typically from hundreds or thousands of years ago. This problem has received considerable attention in the population genetics... Read More

  • Tuesday, October 11, 2016 - 4:00pm
    CS 1240
    David Wentzlaff

    Current-day data centers and IaaS clouds (e.g. Amazon EC2, MS Azure,
    Google GCE) use microprocessors that are very similar to or the same as
    those used in small servers and desktops. This work rethinks the design
    of microprocessors specifically for data center use along with how
    microprocessors are affected by the novel economic models that have been
    popularized by IaaS clouds. This talk will describe several
    architectural changes including how a processor can be decomposed into
    sub-components (e.g. ALU, Cache, Fetch Unit) that can be... Read More

  • Tuesday, December 13, 2016 -
    4:00pm to 5:00pm
    Computer Sciences 1240
    Steve Marschner
    Cornell University

    Faculty host : Eftychios Sifakis (sifakis@cs.wisc.edu)