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Events for April 10, 2025
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NL Seminar- An Investigation of Intermediate Representations in Spoken Language Models
Thu, Apr 10, 2025 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Tolulope Ogunremi, Stanford University
Talk Title: An Investigation of Intermediate Representations in Spoken Language Models
Abstract: Meeting hosts only admit on-line guests that they know to the Zoom meeting. Hence, you’re highly encouraged to use your USC account to sign into Zoom. If you’re an outside visitor, please inform us at (nlg-seminar-host(at)isi.edu) to make us aware of your attendance so we can admit you. Specify if you will attend remotely or in person at least one business day prior to the event. Provide your: full name, job title and professional affiliation and arrive at least 10 minutes before the seminar begins. If you do not have access to the 6th Floor for in-person attendance, please check in at the 10th floor main reception desk to register as a visitor and someone will escort you to the conference room location. https://usc.zoom.us/j/93979709729?pwd=v8abin7zGE0E7jWy4cGoEj8vyyFlUT.1 Meeting ID: 939 7970 9729 Passcode: 804448
Spoken language models, large language models trained to process speech and audio inputs by leveraging speech encoder representations, have rapidly increased in popularity as a new modelling approach to speech processing tasks. These models train modality adapters to adapt speech encoder output into language model input.In this work, we use CommonVoice and FLEURS automatic speech recognition (ASR) data in several languages to investigate the output of the modality adapter of spoken language models. We introduce an algorithm to determine whether the modality adapter output resembles a transcription, transliteration or a semantic representation of the speech. We also find that the representation of a language in the language model affects the modality adapter output and transcription abilities of the spoken language models.
Biography: Tolúlá»ÂpẹàÒgúnrẹÃÂmí is a Computer Science PhD candidate at Stanford University in the Stanford NLP Group. Her work focusses on speech and language processing for low-resource languages, currently African languages. Her research combines linguistic investigations of these languages and community-based projects that integrate the concerns of local language communities with technological advances. Before, she did a Masters in Speech and Language Processing at the University Edinburgh.
If speaker approves to be recorded for this seminar, it will be posted on the USC/ISI YouTube page within 1-2 business days: https://www.youtube.com/user/USCISI Subscribe here to learn more about upcoming seminars: https://www.isi.edu/events/ For more information on the NL Seminar series and upcoming talks, please visit: https://www.isi.edu/research-groups-nlg/nlg-seminars/ Hosts: Jonathan May and Katy Felkner
Host: Jonathan May and Katy Felkner
More Info: https://www.isi.edu/research-groups-nlg/nlg-seminars/
Webcast: https://usc.zoom.us/j/93979709729?pwd=v8abin7zGE0E7jWy4cGoEj8vyyFlUT.1Location: Information Science Institute (ISI) - Conf Rm#689
WebCast Link: https://usc.zoom.us/j/93979709729?pwd=v8abin7zGE0E7jWy4cGoEj8vyyFlUT.1
Audiences: Everyone Is Invited
Contact: Pete Zamar
Event Link: https://www.isi.edu/research-groups-nlg/nlg-seminars/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Thesis Proposal - Jiahao Wen
Thu, Apr 10, 2025 @ 12:00 PM - 01:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title of Thesis Proposal: Optimal r-Adaptive In-Timestep Remeshing for Elastodynamics
Committee members: Prof. Jernej Barbic (Chair), Prof. Yong Chen, Prof. Oded Stein, Prof. Satyandra Gupta, and Prof. Stefanos Nikolaidis.
Abstract: This work is about finding optimal degrees of freedom for FEM simulation of nonlinear deformable objects with frictional contacts. This is done by moving the vertices in the undeformed (reference) mesh to improve the match to the true analytical solution of the underlying PDE. I.e., get closer to the true solution with a fewer number of mesh vertices by optimally repositioning those vertices in the undeformed mesh. More broadly, the work tries to improve how partial differential equations are solved by adapting the FEM solution space.
Location: Henry Salvatori Computer Science Center (SAL) - 213
Audiences: Everyone Is Invited
Contact: Ellecia Williams
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
PhD Thesis Proposal - Jiahao Wen
Thu, Apr 10, 2025 @ 12:00 PM - 01:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title of Thesis Proposal: Optimal r-Adaptive In-Timestep Remeshing for Elastodynamics
Date and Time: April 10th, 12 pm - 1pm
Location: SAL 213
Committee Members: Prof. Jernej Barbic, Prof. Yong Chen, Prof. Oded Stein, Prof. Satyandra Gupta, and Prof. Stefanos Nikolaidis.
Abstract: This work is about finding optimal degrees of freedom for FEM simulation of nonlinear deformable objects with frictional contacts. This is done by moving the vertices in the undeformed (reference) mesh to improve the match to the true analytical solution of the underlying PDE. I.e., get closer to the true solution with a fewer number of mesh vertices by optimally repositioning those vertices in the undeformed mesh. More broadly, the work tries to improve how partial differential equations are solved by adapting the FEM solution space.Location: Henry Salvatori Computer Science Center (SAL) - 213
Audiences: Everyone Is Invited
Contact: Jiahao Wen
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Semiconductors and Microelectronics Technology Seminar - Kyung Min Kim, Thursday, April 10th at 1:30pm in EEB 248
Thu, Apr 10, 2025 @ 01:30 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Kyung Min Kim, Associate Professor, Materials Science and Engineering Korea Advanced Institute of Science and Technology (KAIST)
Talk Title: Spatiotemporal Computing Utilizing Dual Thermal Dynamics of Mott Memristors
Series: Semiconductors & Microelectronics Technology
Abstract: The Mott memristor is a highly intriguing device that demonstrates unique electrical characteristics through the dynamic interaction of heat and current. The device exhibits dynamic thermal behavior, encompassing temporal accumulation via heat capacity and spatial transportation through heat diffusion. This spatiotemporal thermal activity enables coupling between memristor devices when arranged in arrays, which can be effectively utilized for computing. Additionally, the thermal dynamics of Mott memristors inherently involve stochasticity, resulting in probabilistic behavior. These properties, such as thermal coupling and stochasticity, provide a novel approach to tackling NP-hard problems, which are often challenging for conventional computers to solve. This presentation explores various computing devices that leverage the spatiotemporal thermal information of Mott memristors, including true random number generators (TRNGs), probabilistic computing systems, and thermal computing devices. The future potential and implications of these technologies will also be discussed.
Biography: Professor Kyung Min Kim is a Tenured Associate Professor in the Department of Materials Science and Engineering at the Korea Advanced Institute of Science and Technology (KAIST) since 2017. He earned his B.S. degree in 2003 and his Ph.D. degree in 2008 from Seoul National University, Seoul, Korea. From 2011 to 2013, he worked at Samsung Electronics in Korea, and from 2014 to 2017, he worked at Hewlett Packard Labs of Hewlett Packard Enterprise in Palo Alto, California, USA. His research covers a wide range of areas related to next-generation semiconductor technology. This includes exploring new semiconductor materials and processing techniques, post-von Neumann computing technologies such as neuromorphic computing, reservoir computing, and probabilistic computing, as well as semiconductor packaging technology.
Host: Jayakanth Ravichandran, Joshua Yang, Chongwu Zhou, Steve Cronin and Wei Wu
More Information: Kyung Min Kim Flyer.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Six Sigma Black BeltThu, Apr 10, 2025 @ 04:00 PM - 04:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: IISE Faculty, IISE Faculty
Talk Title: Six Sigma Black Belt
Abstract: USC Viterbi School of Engineering's Six Sigma Black Belt program, offered in partnership with the Institute of Industrial and Systems Engineers, enables professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Learn the advanced problem-solving skills you need to implement the principles, practices, and techniques of our Six Sigma Black Belt course in order to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements, and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certification. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process, as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis, and simulation. Computer applications are emphasized.
Host: USC Viterbi Corporate and Professional Programs
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
Audiences: Six Sigma Black Belt Students
Contact: VASE Executive Education
Event Link: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
