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Events for October 07, 2014
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Six Sigma Green Belt for Process ImprovementTue, Oct 07, 2014
DEN@Viterbi, Executive Education
Conferences, Lectures, & Seminars
Abstract: Learn how to integrate principles of business, statistics and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a Six Sigma green belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial Engineer's green belt exam (administered on the final day of the course).
Register Now
Host: Professional Programs
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
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The Viterbi Industry Networking Event
Tue, Oct 07, 2014 @ 05:00 PM - 07:00 PM
Viterbi School of Engineering Career Connections
Receptions & Special Events
The Viterbi Industry Networking Event allows Viterbi juniors and seniors from select active student organizations to meet employers the evening before the Fall and Spring Career Fairs and allows students to practice their networking skills by engaging with top engineering companies in a professional business networking environment.
This is an Invite Only eventLocation: Ronald Tutor Campus Center (TCC) -
Audiences: Juniors & Seniors Only
Contact: RTH 218 Viterbi Career Services
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Oculus VR Tech Talk: VR, the future, and you
Tue, Oct 07, 2014 @ 05:00 PM - 06:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
In the surprisingly near future, VR is very likely to transform how we interact with information, computers, and each other. This talk will discuss why VR is likely to be a key part of our future, why it's different from anything that's come before, and what that implies for researchers and developers. Oculus VR Chief Scientist Michael Abrash will be hosting this presentation.
More Information: USC IEEE Oculus VR Tech Talk 10-7-14.pdf
Location: John Stauffer Science Lecture Hall (SLH) - 200
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Services
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Society of Women Engineers: General Meeting
Tue, Oct 07, 2014 @ 06:30 PM - 08:00 PM
Viterbi School of Engineering Student Organizations
University Calendar
Come check out SWE at our second general meeting! Learn about our upcoming events and learn how you can get more involved! Dinner will be provided.
Like our Facebook page SWE-USC for more details!Location: Grace Ford Salvatori Hall Of Letters, Arts & Sciences (GFS) -
Audiences: Everyone Is Invited
Contact: Society of Women Engineers Society of Women Engineers
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AAAI@USC Presents: Machine Learning@Google Tech Talk
Tue, Oct 07, 2014 @ 06:30 PM - 08:00 PM
Viterbi School of Engineering Student Organizations
Student Activity
Facebook Event page: https://www.facebook.com/events/684767928280665/
RSVP: https://docs.google.com/forms/d/1calarGI281ZKKo0QSSHSSOX_M78-kxWeDBbb1NDennQ/viewform
Title: From Text to Concepts at Google
Abstract: This talk will describe Rephil, a system used widely within Google to identify the concepts or topics that underlie a given piece of text. Rephil determines, for example, that "apple pie" relates to some of the same concepts as "chocolate cake", but has little in common with "apple ipod". The concepts used by Rephil are not pre-specified; instead, they are derived by an unsupervised learning algorithm running on massive amounts of text. The result of this learning process is a Rephil model -- a giant Bayesian network with concepts as nodes. I will discuss the structure of Rephil models, the distributed machine learning algorithm that we use to build these models from terabytes of data, and the Bayesian network inference algorithm that we use to identify concepts in new texts under tight time constraints. I will also discuss how Rephil relates to ongoing academic research on probabilistic topic models.
Bio: Brian Milch is a software engineer at Google's Los Angeles office. He first joined Google in 2000, after completing a B.S. in Symbolic Systems at Stanford University. A year later, he entered the Computer Science Ph.D. program at U.C. Berkeley. He received his doctorate in 2006, with a thesis focused on the integration of probabilistic and logical approaches to artificial intelligence. He then spent two years as a post-doctoral researcher at MIT before returning to Google in 2008. He has contributed to Google production systems for spelling correction, transliteration, and semantic modeling of text.
After the talk, Brian will also be happy to answer questions about both the technical material and what it's like to work on machine learning at Google.
---Free Pizzas and Google swags will be provided---
For more AAAI@USC events, visit and join our group here:
https://www.facebook.com/groups/344421032279109/736754983045710/Location: Mark Taper Hall Of Humanities (THH) - 101
Audiences: Everyone Is Invited
Contact: Giovanni Sutanto
