Upcoming Events

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

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  • Thursday, October 19, 2017 -
    1:00pm to 2:00pm
    1240 CS
    Venkat Venkataramani

    In this talk, Venkat will focus on fundamental concepts baked in all traditional systems software that aren't very well suited to exploit the economics of the cloud. Almost all systems software that run in the cloud today were originally built for on-premises data center installations and have simply been ported to work on cloud VMs. This talk will explore properties that truly cloud-native software should have, some of the advances that is ongoing and open challenges that still remain.

    Bio: Venkat is the founder and CEO of Rockset, a cloud infrastructure startup founded in... Read More

  • Friday, October 20, 2017 - 10:00am
    3310 CS
    Maxwell Collins
    University of Wisconsin - Madison

    Dissertation title: Scalable Optimization Methods with Side Information in Image Understanding

    Vikas Singh (Advisor)
    Mohit Gupta
    Chuck Dyer
    Li Zhang
    Jerry Zhu

  • Friday, October 20, 2017 -
    12:00pm to 1:15pm
    1240 Computer Science (lunch on your own)
    Brent Seales
    Computer Science, University of Kentucky

    Brent earned his doctorate at UW-Madison, and spent several years engaged in student fellowship here through InterVarsity. His interest in the scriptures and study of imaging algorithms led him to develop methods to “read” ancient texts that are too damaged and delicate to be unrolled and viewed. In his talk, Brent will speak about his personal faith journey, academic pursuits and life service. Brent is also giving a community lecture at Upper House this same evening.

  • Friday, October 20, 2017 -
    4:30pm to 6:00pm
    1240 CS

    SACM is hosting a trivia for students, faculty and staff!
    There will be refreshments thanks to our TGIF team.

    1. Teams of up to 3 members.
    2. No yelling out answers, right or wrong.
    3. Max one faculty member per team.
    4. Most answers can be worked out from something in the question. Clever guesses will go a long way!
    5. Trivia host and SACM will have final say on all related matters.

    Invite your friends and your students!

    Remember to bring a pen.

  • Monday, October 23, 2017 -
    12:00pm to 1:00pm
    2310 CS
    Eugene Wu
    Columbia University

    Title: Closing the loop on data analysis

    Abstract: The rapid democratization of data has placed its access and analysis in the hands of the entire population. While the tools for rapid and large-scale data processing have continued to reduce the time to compute analysis results, the techniques to help users better and more easily visualize their data, clean and prepare their data, and understand what their results mean are still lacking. In this talk, I will provide an overview of our lab's recent work on addressing each stage of data analysis—data cleaning, data visualization... Read More

  • Tuesday, October 24, 2017 -
    9:30am to 10:30am
    Orchard View Room, Discovery Building
    Rich Caruana
    Microsoft Research

    Abstract: In machine learning often a tradeoff must be made between accuracy and intelligibility: the most accurate models usually are not very intelligible (e.g., deep nets, boosted trees, and random forests), and the most intelligible models usually are less accurate (e.g., linear or logistic regression). This tradeoff often limits the accuracy of models that can be safely deployed in mission-critical applications such as healthcare where being able to understand, validate, edit, and ultimately trust a learned model is important. We have been working on a learning method based on... Read More

  • Tuesday, October 24, 2017 -
    4:00pm to 5:00pm
    CS 1240
    James E. Smith
    UW Emeritus Professor

    For more than a decade, a grand challenge posed to computer researchers has been to understand, and eventually replicate, the way the brain computes – “reverse engineer the brain”, so to speak. Despite its universally recognized importance, computer researchers have made little forward progress. In fact, theoretical neuroscientists have assumed leadership in architecting plausible computing models and consequently have taken significant first steps toward solving the problem.

    The challenge needn’t be cast in strictly neuroscience terms. It can also be addressed in computer... Read More

  • Tuesday, October 31, 2017 - 10:00am
    4310 CS
    Haixing Liu
    University of Wisconsin - Madison

    Title: High-Performance Simulation and Validation of Finite Element Method for Soft Tissues

    Eftychios Sifakis (Advisor)
    Michael Gleicher
    Dan Negrut

  • Tuesday, November 7, 2017 -
    4:00pm to 5:00pm
    CS 1240
    Mark Silberstein
    Technion - Israel Institute of Technology

    Emerging intelligent bump-in-the-wire network adapters, iNICs, are increasingly deployed for accelerating custom network functions in large-scale data center and cloud environments such as Microsoft Azure. However, their potential to speed up network-intensive server applications remains largely unexplored due to the lack of appropriate programming models and OS abstractions.

    GAON is a framework that facilitates accelerating network applications using iNICs. GAON introduces an ikernel abstraction that encapsulates the code and state of an iNIC-resident application task. The... Read More

  • Thursday, November 9, 2017 -
    3:30pm to 4:45pm
    Health Sciences Learning Center - Room 1335; Reception to follow in the HSLC Atrium
    Dr. Rob Tibshirani, Prof. of Statistics & Prof. of Biomedical Data Science
    Stanford University

    This talk will be a research/overview talk accessible to a general biomedical/public health audience. Ideally, it will highlight, in one or more ways, critical and impactful contributions from quantitative methodological areas (e.g., biostatistics and/or biomedical informatics) to discoveries in biomedicine, and/or advancement of human/public health.

  • Friday, November 10, 2017 -
    12:00pm to 1:00pm
    Biotech Center
    Dr. Rob Tibshirani, Prof. of Statistics & Prof. of Biomedical Data Science
    Stanford University

    This will be a world-class research talk in biostatistics or biomedical informatics.


    Talk 1: Some Progress and Challenges in Biomedical Data Science

    I will discuss some new developments in the application of statistics and
    data science to medicine, and some challenges that this exciting field
    faces. Examples from my own work that I will discuss include cancer
    diagnosis from DESI mass spec data, estimating the number of units of
    platelets needed by a hospital each day and making treatment
    recommendations from observational data (... Read More