Select a calendar:
Filter April Events by Event Type:
SUNMONTUEWEDTHUFRISAT
Events for April 11, 2022
-
CS Undergraduate Web Registration Live Chat AssistanceMon, Apr 11, 2022 @ 09:00 AM - 09:30 AM
Thomas Lord Department of Computer Science
Student Activity
If you are a CS undergraduate with a web registration permit time of 9am today and are having difficulty with web registration, the advisement staff will be available from 9:00am - 9:30am to help troubleshoot your registration questions and issues. Chat with us at https://www.cs.usc.edu/chat/
Audiences: Undergrad
Contact: USC Computer Science
-
ECE-EP Seminar - Jie Gu, Monday, April 11th at 9am via Zoom
Mon, Apr 11, 2022 @ 09:00 AM - 10:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Jie Gu, Northwestern University
Talk Title: Efficient On-chip Neural Architecture and Data Processing in the Era of Domain-specific Computing and AI
Abstract: In this new era of data-driven domain-specific computing, the integrated circuits, serving as the cornerstones of modern electronic devices, are facing tremendous challenges in meeting the ever-growing data processing demand under staggering technology improvement. It is clear that conventional Von-Neumann architecture is no longer sufficient for the ubiquitous AI and many newly-arrived complex computing tasks. As a result, it is critical to look for new computing architecture that delivers the most efficient computing and data processing solutions. In this talk, I will first discuss our recent developments of a special "neural CPU" processor at the conjunction of Von-Neumann and deep learning architectures to establish a new computing platform where general-purpose computing is incorporated into the framework of deep learning accelerators achieving significant end-to-end performance enhancement and data movement reduction. Second, I will discuss efficient data processing solutions for domain-specific computing using examples of a sparse convolutional neural network accelerator for 3D/4D point-cloud image classification and efficient data processing for wirelessly powered human machine interface System-on-Chip (SoC) with embedded machine learning capabilities. Demonstrations of test chips using standard CMOS process will be used to show the benefits of the proposed solutions in comparison with the conventional implementations.
Biography: Jie Gu is currently an associate professor in Northwestern University. He received his B.S. degree from Tsinghua University, M.S. degree from Texas A&M University and Ph.D. degree from University of Minnesota. From 2008 to 2010, he was with Texas Instruments, Dallas, TX on research and developments of ultra-low voltage mobile processors for smartphones. From 2011 to 2014, he was with Maxlinear leading developments of home multi-media broadband SoC chips. He joined ECE department in Northwestern University from 2015 working on novel circuit and architecture for low power microprocessors and machine learning accelerators. He is a recent recipient of NSF CAREER award.
Host: ECE-Electrophysics
More Info: https://usc.zoom.us/j/93576256328?pwd=OUlzMFYxVzVTY1cwNit5NFR6Nmdmdz09
More Information: Jie Gu Flyer.pdf
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
Event Link: https://usc.zoom.us/j/93576256328?pwd=OUlzMFYxVzVTY1cwNit5NFR6Nmdmdz09
-
CAIS Seminar: Rayid Ghani (Carnegie Mellon University) - Practical Lessons and Challenges in Building Fair and Equitable AI/ML Systems
Mon, Apr 11, 2022 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Rayid Ghani, Carnegie Mellon University
Talk Title: Practical Lessons and Challenges in Building Fair and Equitable AI/ML Systems
Series: USC Center for Artificial Intelligence in Society (CAIS) Seminar Series
Abstract: As organizations become more aware of the need to build ML/AI systems that result in fair and equitable outcomes, they have started to struggle with operationalizing that need. In this talk, I'll discuss lessons learned over the past few years working with various government agencies and non-profits across health, criminal justice, social services, education, and economic & workforce development on how those organizations view this challenge, how they're attempting to design ML/AI systems, and what gaps exist in the work that Fair ML researchers have been producing. I'll also discuss some examples of methods and tools that were useful in those collaborations and resulted in more equitable impact through the use of ML.
Register in advance for this webinar at:
https://usc.zoom.us/webinar/register/WN_zr43DpG2SKaIj-rspOahZA
After registering, attendees will receive a confirmation email containing information about joining the webinar.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Rayid Ghani is a Professor in Machine Learning and Public Policy at Carnegie Mellon University focused on developing and using AI/Machine Learning/Data Science to help tackle large public policy and societal challenges in a fair and equitable manner. Among other areas, Rayid works with governments and non-profits in policy areas such as health, criminal justice, education, public safety, economic development, and urban infrastructure. Before joining Carnegie Mellon University, Rayid was the Founding Director of the Center for Data Science & Public Policy, Research Associate Professor in Computer Science, and a Senior Fellow at the Harris School of Public Policy at the University of Chicago. Previously, Rayid was the Chief Scientist of the Obama 2012 Election Campaign.
Host: USC Center for Artificial Intelligence in Society (CAIS)
Webcast: https://usc.zoom.us/webinar/register/WN_zr43DpG2SKaIj-rspOahZALocation: Online - Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/WN_zr43DpG2SKaIj-rspOahZA
Audiences: Everyone Is Invited
Contact: Computer Science Department
-
Discovering Your Passion: A Conversation with Elizabeth Spayde-Barnes (Virtual)
Mon, Apr 11, 2022 @ 03:00 PM - 04:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Interested in what it's like to be a female engineer at the intersection of technology and media? Hear from our QA Engineer and recent DTC Hackathon runner-up Elizabeth Spayde-Barnes as she shares her passions for her work and how she got to where she is. Hosted by Discovery+
Register Here: https://bit.ly/3qMJGGc
External employer-hosted events and activities are not affiliated with the USC Viterbi Career Connections Office. They are posted on Viterbi Career Connections because they may be of interest to members of the Viterbi community. Inclusion of any activity does not indicate USC sponsorship or endorsement of that activity or event. It is the participant's responsibility to apply due diligence, exercise caution when participating, and report concerns to vcareers@usc.eduLocation: Virtual. RSVP Link in the event description.
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
-
Tesla X FSAE Information Session: Vehicle Software
Mon, Apr 11, 2022 @ 03:00 PM - 04:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Tesla X FSAE Information Session: Vehicle Software
Date: April 11, 2022 @ 3:00 to 4:00 PM PDT
Special Offer: Attendees will have a chance to win $25 Uber Eats Gift Card!
Registration: Register Here!
https://forms.office.com/Pages/ResponsePage.aspx?id=9MUmkNCGn0u9ObfU0PtGdG9a0mm6j6BFvW5CeQngudlUMzA4WFM3WkJMRlhQUDhQVjlYS1RYUlJKRi4u
Make a difference from day one at Tesla. Our interns take on high-impact projects,
supported by one-on-one mentorship, hands-on learning and career development
programming.
External employer-hosted events and activities are not affiliated with the USC Viterbi Career Connections Office. They are posted on Viterbi Career Connections because they may be of interest to members of the Viterbi community. Inclusion of any activity does not indicate USC sponsorship or endorsement of that activity or event. It is the participant's responsibility to apply due diligence, exercise caution when participating, and report concerns to vcareers@usc.eduLocation: Virtual
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
