Tuesday, September 27, 2016 -11:00am to 3:00pmCS Lobby (near main elevators)
Tuesday, September 27, 2016 -4:00pm to 5:00pm1240 CSMatthew Layser, Kimmy Cummings, John SchmidtCapital 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 5:00pmBiotechnology Center Auditorium, 425 Henry MallPaul RaccugliaCobalt 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 - 4:00pmCS 2310David SchlaisUW 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 8:00pmCS 1240Hal MarzGoogle, Inc.
Thursday, September 29, 2016 -1:00pm to 5:00pmUnion 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 3:00pmCS Lobby (near main elevators)
Friday, October 7, 2016 -9:45am to 10:45amPyle Center, Room 313, 702 Langdon St.George N. Phillips, Jr.Rice University
Translational Bioinformatics to Enable Precision Medicine: Achievements, Obstacles and OpportunitiesFriday, October 7, 2016 -1:15pm to 2:15pmPyle Center, Room 313, 702 Langdon St.Jessica TanenbaumDuke 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 4:30pmPyle Center, Room 313, 702 Langdon St.Keith NotoAncestry.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 - 4:00pmCS 1240David WentzlaffPrinceton
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 5:00pmComputer Sciences 1240Steve MarschnerCornell University
Faculty host : Eftychios Sifakis (email@example.com)