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Events for the 4th week of October
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Master of Science in Quantum Information Science Informational Webinar
Mon, Oct 17, 2022 @ 05:00 PM - 06:00 PM
Viterbi School of Engineering Graduate Admission
Workshops & Infosessions
Do you have an interest in Quantum computing?
You are cordially invited to meet faculty and representatives from the University of Southern California Viterbi School of Engineering for an informational webinar on the Master of Science program in Quantum Information Science.
-REGISTER-
Students who have earned or are in the process of earning a Bachelor's degree in engineering, physics, computer science, or a similar technical field are welcome to attend to learn more about applying to our graduate programs.
The session will include information on the following topics:
- MS in Quantum Information Science Curriculum
- How to Apply
- Scholarships and funding
- Student life at USC and in Los Angeles
There will also be sufficient time for questions.
Speakers:
- Professor Todd Brun, Electrical and Computer Engineering, Computer Science, and Physics and Astronomy
- Professor George Ingersoll, Associate Dean of Master's and Professional Education
- Camillia Lee, Associate Dean for Graduate Admission, USC Viterbi School of Engineering
-REGISTER-WebCast Link: https://usc.zoom.us/webinar/register/WN_10qTyms6RP-tSCsIm5ekTg
Audiences: Everyone Is Invited
Contact: William Schwerin
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ECE Seminar: High-Assurance Design Methods for Trustworthy Autonomous Cyber-Physical Systems
Tue, Oct 18, 2022 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Professor Pierluigi Nuzzo, Ming Hsieh Dept of ECE, USC Viterbi School of Engineering
Talk Title: High-Assurance Design Methods for Trustworthy Autonomous Cyber-Physical Systems
Abstract: Correctness and safety assurance is of utmost importance in mission-critical systems for various applications, for example, in avionics, automobiles, robotics, and manufacturing. In these systems, increasingly more sophisticated tasks that were previously allocated to humans are expected to be performed by software, including modern artificial intelligence (AI) methods. One of the biggest challenges to full autonomy is arguably in showing that these AI and autonomous software functions will still satisfy the stringent safety and correctness requirements of mission-critical systems in uncertain or unpredictable environments. In this talk, I will introduce our approach toward enhancing design-time assurance for trustworthy autonomous cyber-physical systems. I will present synthesis methods for correct-by-construction design of optimal control and reinforcement learning policies in uncertain and unknown environments with provable guarantees on the satisfaction of complex missions, expressed by temporal logic specifications. I will then introduce the rich specification formalism of stochastic assume-guarantee contracts for compositional, quantitative requirement analysis and system verification under uncertainty. Finally, I will discuss how stochastic contracts can provide the semantic foundation for the automated construction of assurance cases, structured arguments about system dependability, which can accelerate system certification and help transition from a process-driven to a property-driven certification approach.
Biography: Pierluigi Nuzzo is an Assistant Professor and the Kenneth C. Dahlberg Early Career Chair in the Department of Electrical and Computer Engineering at USC, where he is also the Associate Director of the Center for Autonomy and Artificial Intelligence. He received the PhD in Electrical Engineering and Computer Sciences from UC Berkeley, and BS and MS degrees in Electrical and Computer Engineering from the University of Pisa and the Sant'Anna School of Advanced Studies in Pisa, Italy. Before joining UC Berkeley, he held research positions at the University of Pisa and IMEC, Leuven, Belgium, working on analog and mixed-signal circuit design. His interests focus on methodologies and tools for high-assurance design of cyber-physical systems and systems-on-chip, including the application of formal methods and optimization theory to problems in embedded and cyber-physical systems, electronic design automation, requirement engineering, security, and artificial intelligence. He received the 2022 Early-Career Award from the IEEE Technical Committee on Cyber-Physical Systems, the DARPA Young Faculty Award in 2020, the NSF CAREER Award in 2019, and best paper and design competition awards from the International Conference on Formal Methods and Models for System Design (MEMOCODE), the International Conference on Cyber-Physical Systems (ICCPS), the Design Automation Conference (DAC) and the International Solid-State Circuit Conference (ISSCC). His awards also include the IBM PhD Fellowship, the UC Berkeley Outstanding Instructor Award, and the UC Berkeley EECS David J. Sakrison Memorial Prize for his doctoral research.
Host: Professor Richard M. Leahy (leahy@sipi.usc.edu)
Webcast: https://usc.zoom.us/j/91207739138?pwd=aDVQOXRwNUZyMm5DYXhvTTM5K0Z1dz09Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: https://usc.zoom.us/j/91207739138?pwd=aDVQOXRwNUZyMm5DYXhvTTM5K0Z1dz09
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
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Tenstorrent Information Session
Tue, Oct 18, 2022 @ 02:00 PM - 03:30 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Tenstorrent Information Session
Date: Tuesday, October 18th
Time: 2:00 p.m. - 3:30 p.m.
Location: Zoom RSVP HERE
At Tenstorrent, we are working on building high performance computers based on open source RISC-V architecture, under the vision and leadership of Jim Keller.
During this Trojan Talk, our CPU core team leads Srikanth Arekapudi and Divyang Agrawal will share the latest news about our current and upcoming products, such as GraySkull.
We will also talk about current/future opportunities in our CPU DV and CPU RTL Design teams and tell you more about our recruitment process.
Speakers: Srikanth Arekapudi & Divyang Agrawal (RISC-V CPU core team leads)
Current Opportunities
CPU DV Spring / Summer Internship
CPU RTL Design Spring / Summer Internship
CPU DV graduate full-time role
CPU RTL Design graduate full-time role
What majors and class levels are you interested in connecting with? EE/CE Bachelors, Masters and PhDs
Are you recruiting for internships, full-time, or both? Both, however, you need to be able to work full time and on-site during your internship.
Can you offer Visa sponsorship? Depends on the situation but in most cases, we can.
Are you able to hire a student on CPT or OPT? YesLocation: Zoom, please see below for details on how to RSVP
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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***NO EPSTEIN INSTITUTE - ISE 651 SEMINAR (DUE TO INFORMS)***
Tue, Oct 18, 2022 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Location: Ethel Percy Andrus Gerontology Center (GER) - GER 206
Audiences: Everyone Is Invited
Contact: Grace Owh
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Apple Information Session - What it Takes to Stand Out (External, Virtual)
Tue, Oct 18, 2022 @ 03:30 PM - 04:30 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Apple Information Session - What it Takes to Stand Out
There is a Place at Apple for Every Kind of Brilliant
Our differences are our greatest strengths, leading to the collaboration and innovation that allow you to do the best work of your life.
October 18, 2022
3:30 p.m. â“ 4:30 p.m. PT
Register in Viterbi Career Gateway
Please create a profile at jobs.apple.com before the event.
Questions? Email uevents@apple.com
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. The inclusion of any activity does not indicate USC sponsorship or endorsement of that activity or event. It is the participants 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
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MFD Seminar: Mechanisms for Diffusion Dependent Interfacial Strain: New Insights for Ultrahigh Temperature In Situ TEM
Tue, Oct 18, 2022 @ 04:00 PM - 05:20 PM
Mork Family Department of Chemical Engineering and Materials Science
Conferences, Lectures, & Seminars
Speaker: Professor Shen J. Dillon, Professor of Materials Science and Engineering, University of California, Irvine
Talk Title: Mechanisms for Diffusion Dependent Interfacial Strain: New Insights for Ultrahigh Temperature In Situ TEM
Abstract: Series: MFD Distinguished Lecture Series
Polycrystals can exhibit high-temperature interface-mediated strain in response to an externally applied stress, such as creep, superplasticity, or hot-press sintering, or internal stress, such as stress relaxation at interfaces during thermal cycling or oxide scale growth, fission bubble growth, and densification during sintering. Such problems have mostly been analyzed and treated in the context of purely diffusional models. The diffusional flux, however, is one of only three necessary steps or conditions required for diffusional dependent interfacial strain, the other two include interfacial dislocation nucleation and the emission and absorption of point defects at the interfacial dislocations. The prevalence of diffusional rate limited models results from somewhat unsubstantiated assumptions within the early literature along with the non-uniqueness of the various rate-limiting kinetic models, i.e., disparate models often fit isothermal kinetic data obtained from polycrystalline experiments equally well.
Our group developed a laser heating-based approach for ultrahigh temperature in situ transmission electron microscopy (TEM) during small-scale mechanical testing. This approach enables a more direct characterization of interfacial strain kinetics and thermodynamics at individual grain boundaries, which provides an improved basis for evaluating the high-temperature deformation mechanisms. This talk will present experiments that reveal grain boundary dislocation nucleation limits interfacial strain kinetics in many systems up to relatively large stresses. Based on the experimental observations, new models for sintering and grain boundary creep are developed to account for the appropriate mechanism. These are demonstrated to fit experimental data well, predict broad trends in the literature, and provide explanations for several poorly understood phenomena within the sintering and creep literature. The talk will conclude by discussing the broader implications of the new scientific understanding.
Biography: Shen J. Dillon is a Professor in the Department of Materials Science and Engineering at the University of California Irvine. He received his B.S. and then Ph.D. in Materials Science and Engineering from Lehigh University in 2007. He began as an Assistant Professor at the University of Illinois at Urbana-Champaign in 2009 and joined the faculty at UC Irvine in 2021. His scientific interests relate to understanding the key role played by inorganic interfacial structure-property relationships in affecting the performance of systems in extreme environments. Much of his recent work relates to developing and applying novel in situ characterization techniques that can be applied to understanding the dynamic properties of materials and their interfaces. He is the author of over 100 articles and was a recipient of the 2011 Department of Energy Early Career Award, the 2013 National Science Foundation CAREER Award, and the 2015 American Ceramic Society's Robert L. Coble Award for Young Scholars.
Host: Professor Branicio, Mork Family Department of Chemical Engineering and Materials Science
More Information: Shen Dillon Seminar Flyer 10.18.22 (1).pdf
Location: James H. Zumberge Hall Of Science (ZHS) - 352
Audiences: Everyone Is Invited
Contact: Anthony Tritto
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DEN@Viterbi: How to Apply Virtual Info Session
Wed, Oct 19, 2022 @ 12:00 PM - 01:00 PM
DEN@Viterbi, Viterbi School of Engineering Graduate Admission
Workshops & Infosessions
Join USC Viterbi representatives for a step-by-step guide and tips for how to apply for formal admission into a Master's degree or Graduate Certificate program. The session is intended for individuals who wish to pursue a graduate degree program completely online via USC Viterbi's flexible online DEN@Viterbi delivery method.
Attendees will have the opportunity to connect directly with USC Viterbi representatives and ask questions about the admission process throughout the session.
Register Now!WebCast Link: https://uscviterbi.webex.com/uscviterbi/onstage/g.php?MTID=efa8d194b73b01d91d2427323c1a513d5
Audiences: Everyone Is Invited
Contact: Corporate & Professional Programs
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Center of Autonomy and AI, Center for Cyber-Physical Systems and the Internet of Things, and Ming Hsieh Institute Seminar Series
Wed, Oct 19, 2022 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Abhishek Cauligi, Jet Propulsion Laboratory
Talk Title: Enabling Long Range Autonomy for the Next Generation of Spacecraft Robotic Missions
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Surface rovers have a rich history of use for planetary body exploration, but current rover missions are limited to low operational speeds and require significant ground-in-the-loop management and teleoperation to compute safe paths for the rovers to follow. However, the next generation of proposed planetary surface rover missions require significantly faster operating speeds in order to accomplish the mission tasks and objectives, thereby making autonomy a key enabling technology for such missions. This talk will discuss the challenges ahead in developing, validating, and safely deploying autonomy algorithms for the next generation of spacecraft robotic missions. The first half of this talk will focus on the autonomy architecture for NASA's Cooperative Autonomous Distributed Robotic Explorers (CADRE) mission, a technology demonstration mission that will deliver a team of autonomous rovers to the Moon's Reiner Gamma region in 2024. The latter half of the talk will focus on how recent advances in bridging data-driven approaches with nonlinear optimization can allow for embedding sophisticated planning and decision making capabilities on resource-constrained autonomous systems.
Biography: Abhishek Cauligi is a Robotics Technologist with the Surface Mobility Group within the Robotics section of NASA's Jet Propulsion Laboratory. He received his B.S. in Aerospace Engineering from the University of Michigan - Ann Arbor in 2016 and his PhD. in Aeronautics and Astronautics from Stanford University under the supervision of Prof. Marco Pavone in 2021, where he was a recipient of the NASA Space Technology Research Fellowship (NSTRF/NSTRGO). His research interests lie in leveraging recent advances in nonlinear optimization, machine learning, and control theory towards planning and control for complex spacecraft robotic systems.
Host: Somil Bansal, somilban@usc.edu
Webcast: https://usc.zoom.us/webinar/register/WN_ySGInGwKRKKHX7NHJwTk3QLocation: Hughes Aircraft Electrical Engineering Center (EEB) - 132
WebCast Link: https://usc.zoom.us/webinar/register/WN_ySGInGwKRKKHX7NHJwTk3Q
Audiences: Everyone Is Invited
Contact: Talyia White
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AME Seminar
Wed, Oct 19, 2022 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Simon Park, University of Calgary
Talk Title: Sensing and Monitoring using Nanocomposite Sensors and Hybrid Copper Conductive Inks
Abstract: Highly accurate, miniaturized components that consist of a variety of materials will play key roles in the future development of a broad spectrum of products, such as wearable devices, lab-on-chips, subminiature actuators and sensors. With the advent of the Internet of Things (IoTs) and Industrie 4.0, the development of miniature and reliable devices will be far-reaching in the enhancement of quality of life and economic growth.
Smart polymeric nanocomposites are promising new materials applicable as media for nano-patterned surfaces. Much attention is being paid to carbon-based nanoparticles as fillers in polymer matrices, due to their outstanding mechanical, electrical and thermal properties. In particular, carbon nanotubes (CNTs) and graphenes are effective in the fabrication of electrically and thermally conductive polymer composites compared to metallic particles or carbon black, mainly due to their high aspect ratios (i.e. ~100-1000).
The sensors consisted of polymer reinforced with multi-walled carbon nanotubes (MWCNTs)/graphenes using a variety of manufacturing techniques. The sensors were electrically poled to generate piezoelectric phases. Both the piezoresistive and piezoelectric characteristics of the nanocomposite were utilized for improved performance of the sensors.
Another important aspect is cost effective manufacturing of conductive electrode patterns onto flexible substrates is vital for multifunctional and flexible systems. Conventional chemical etching, vacuum deposition and electrodeless plating are expensive and potentially hazardous to flexible substrates. Others have used metallic nanoparticle inks, such as silver nanoparticles, through inkjet printing, but the high cost of silver nanoparticles prevents mass production. We have recently developed a simple method to prepare hybrid copper-silver conductive tracks through flash light sintering. We demonstrate some of examples of the sensors and hybrid copper electrodes developments.
Biography: Currently Simon S. Park is a professor at the Schulich School of Engineering, Dept. of Mechanical and Manufacturing Engineering, University of Calgary. He is a professional engineer in Alberta, and is an associate member of CIRP (Int. Academy of Production Engineers) from Canada. Dr. Park received bachelor and masters degrees from the University of Toronto, Canada. He then continued his PhD at the University of British Columbia, Canada. He has worked in several companies including IBM manufacturing where he was a procurement engineer for printed circuit boards and Mass Prototyping Inc. dealing with rapid prototyping systems. In 2004, Dr. Park formed the Micro Engineering, Dynamics, and Automation Laboratory (MEDAL, www.ucalgary.ca/medal) to investigate the synergistic integration of both subtractive and additive processes that uniquely provide productivity, flexibility and accuracy to the processing of complex components. His research interests include micro machining, nano engineering, CNT nanocomposites, and alternative energy applications. He has also founded several start-up companies in sensing and oil extractions. He held a strategic chair position in AITF Sensing and monitoring. He is also an associate editor of the Journal of Manufacturing Processes, SME (Elsevier) and International Journal of Precision Engineering and Manufacturing-Green Technology (Springer). Currently, he is directly supervising 40 students and scholars.
Host: AME Department
More Info: https://ame.usc.edu/seminars/
Webcast: https://usc.zoom.us/j/98775609685?pwd=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09Location: Virtual Seminar
WebCast Link: https://usc.zoom.us/j/98775609685?pwd=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://ame.usc.edu/seminars/
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PhD Thesis Proposal - Chuizheng Meng
Wed, Oct 19, 2022 @ 03:30 PM - 05:00 PM
Thomas Lord Department of Computer Science
University Calendar
Phd Candidate: Chuizheng Meng
Title: Trustworthy Spatiotemporal Prediction Models
Committee:
Prof. Yan Liu (chair)
Prof. Salman Avestimehr
Prof. Aram Galstyan
Prof. Greg Ver Steeg
Prof. Craig Knoblock
Abstract:
With the great success of data-driven machine learning methods, concerns with the trustworthiness of machine learning models have been emerging in recent years. From the modeling perspective, the lack of trustworthiness amplifies the effect of insufficient training data. Purely data-driven models without constraints from domain knowledge tend to suffer from over-fitting and losing the generalizability on unseen data. Meanwhile, concerns with data privacy further obstruct the availability of data from more providers. On the application side, the absence of trustworthiness hinders the application of data-driven methods in domains such as spatiotemporal forecasting, which involves data from critical applications including traffic, climate, and energy. My thesis proposal constructs spatiotemporal prediction models with enhanced trustworthiness from both the model and the data aspects. For model trustworthiness, the proposal focuses on improving the generalizability of models via the integration of physics knowledge. For data trustworthiness, the proposal proposes a spatiotemporal forecasting model in the federated learning context, where data in a network of nodes is generated locally on each node and remains decentralized. Future works towards the completion of the thesis will target at amalgamating the trustworthiness from both aspects and combine the generalizability of knowledge-informed models with the privacy preservation of federated learning for spatiotemporal modeling.
WebCast Link: https://usc.zoom.us/j/99153030181?pwd=ZGJHK1Zha1VHa2ZVNjRUcUNXaFdPZz09
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
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Prospective Student Webinar:
Master's & PhD Programs in Engineering and Computer ScienceWed, Oct 19, 2022 @ 04:00 PM - 05:00 PM
Viterbi School of Engineering Graduate Admission
Workshops & Infosessions
Interested in Master's or PhD programs in engineering or computer science?
You are cordially invited to meet representatives from the University of Southern California Viterbi School of Engineering on an online webinar.
Students who have earned or are in the process of earning a Bachelor's degree in engineering, computer science, mathematics, or a hard science (such as physics, biology, or chemistry) are welcome to attend to learn more about applying to our graduate programs.
The session will include information on the following topics:
- Master's & PhD programs in engineering, computer science, and data science
- How to Apply
- Scholarships and funding
- Student life at USC and in Los Angeles
There will also be sufficient time for questions.
We look forward to seeing you there.
RegisterWebCast Link: https://usc.zoom.us/webinar/register/WN_3tGcvyo6QiGQFBIyPktdqA
Audiences: Everyone Is Invited
Contact: William Schwerin
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ServiceNow Open House (Virtual, External)
Thu, Oct 20, 2022 @ 10:00 AM - 11:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
At ServiceNow, our technology makes the world work for everyone, and our people make it possible. Our diverse team is changing the world with products that make a meaningful impact on people and communities. The more of 'you' you bring to work, the better. When you join ServiceNow, the world works.
Who is ServiceNow?
ServiceNow creates digital experiences that help organizations work smarter, faster, and better. Our purpose is to make the world work better for everyone.
ServiceNow Open Houses:
We are excited to announce our new Open Houses this Fall! These Open Houses are
available to anyone that would like to learn more about ServiceNow, our culture, and opportunities. Each open house will consist of an info session about ServiceNow and breakout rooms with recruiters and ServiceNow professionals. Join us and do not miss out on all the fun!
ServiceNow Workshops:
We are excited to announce that we are bringing back our career development
workshop series. These are free, virtual, career development workshops aimed to help those looking to jumpstart their careers in the tech industry. We'll be covering valuable topics that you won't want to miss!
ServiceNow Virtual Events
- Open House September 7th | 10 to 11 am
- Stand Out at Career Fairs and Conferences
Workshop September 14th| 10 to 11 am
- Open House September 22nd | 10 to 11 am
- Open House October 5th | 10 to 11 am
- Build Your Personal Brand and Give Your LinkedIn a Makeover Workshop October 12th |10 to 11 am
- Open House October 20th | 10 to 11 am
- Open House November 2nd |10 to 11 am
- How to Ace your In-Person and Virtual Interview Workshop November 9th 10:00 AM to 11:00 AM PDT
- Open House November 17th |10 to 11 am
- Open House November 30th | 10 to 11 am
- Overcoming Imposter Syndrome Workshop December 14th | 10 to 11 am
- Open House December 15th | 10:00 to 11:00 am
Check out all of our events and RSVP here!
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 participants responsibility to apply due diligence, exercise caution when participating, and report concerns to vcareers@usc.edu
Location: online
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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NL Seminar- Understanding and Improving Learning through Inference with Large Language Models
Thu, Oct 20, 2022 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Sewon Min, University of Washington
Talk Title: Understanding and Improving Learning through Inference with Large Language Models
Series: NL Seminar
Abstract: THIS TALK WILL NOT BE RECORDED, IT WILL BE BROADCAST LIVE ONLY*
REMINDER:
Meeting hosts only admit guests that they know to the Zoom meeting. Hence, you are highly encouraged to use your USC account to sign into Zoom.
If you are an outside visitor, please inform us at nlg DASH seminar DASH host AT isi DOT edu beforehand so we will be aware of your attendance and let you in.
In person attendance will be permitted for USC ISI faculty, staff, students only. Open to the public virtually via the zoom link and online.
Language models are capable of learning at inference also referred to as in context learning, learning a new task by conditioning on k examples and making a prediction for a new input with no parameter updates. While impressive, models suffer from high variance and low worst case accuracy. Moreover, we do not understand how or why in context learning works. In the first part of the talk, I will introduce new methods that lead to significant performance gains by reducing variance and improving worst case accuracy. I will present a new inference method as well as a new training method, of which combination enables the model to outperform a 230x bigger language model. In the second part of the talk, I will show that in context learning in fact works very differently from conventional learning: the model does not benefit from the correctly paired training data, but rather benefit from the correct specification of the independent distribution of inputs and labels. Finally, I will conclude the talk with lessons learned, limitations and avenues for future work.
Biography: Sewon Min is a Ph.D. student in the Paul G. Allen School of Computer Science and Engineering at the University of Washington, advised by Prof. Luke Zettlemoyer and Prof. Hannaneh Hajishirzi. She is also a part time visiting researcher at Meta AI. Her research is in the area of natural language processing and machine learning. Her work specifically focuses on question answering, natural language understanding, knowledge representation and building general purpose language understanding models. She is a recipient of the 2022 JP Morgan Ph.D. Fellowship. She has co organized multiple workshops and tutorials at ACL, EMNLP, NeurIPS and AKBC, including a workshop on Machine Reading for Question Answering, a competition on Efficient Open domain Question Answering, a workshop on Representation Learning for NLP, workshop on Semiparametric Methods in NLP, and a tutorial on Zero and Few shot Learning with Pretrained Language Models. Prior to UW, she obtained a B.S. degree in Computer Science & Engineering from Seoul National University.
Host: Jon May and Meryem M'hamdi
More Info: https://nlg.isi.edu/nl-seminar/
Webcast: https://usc.zoom.us/j/94452797669Location: Information Science Institute (ISI) - Virtual and ISI-Conf Rm#689
WebCast Link: https://usc.zoom.us/j/94452797669
Audiences: Everyone Is Invited
Contact: Pete Zamar
Event Link: https://nlg.isi.edu/nl-seminar/
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Job/Internship Search Workshop
Thu, Oct 20, 2022 @ 12:00 PM - 01:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
THIS EVENT WILL BE HOSTED HYBRID: IN-PERSON & ONLINE SIMULTANEOUSLY
Increase your knowledge on the job/internship search by attending this professional development Q&A moderated by Viterbi Career Connections staff or Viterbi employer partners.
To access this workshop, log into Viterbi Career Gateway>> Events>>Workshops: https://shibboleth-viterbi-usc-csm.symplicity.com/sso/
For more information about all workshops, please visit viterbicareers.usc.edu/workshops.
For In-Person: Attendance is limited to room capacity
Location: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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Preview Day
Fri, Oct 21, 2022 @ 09:00 AM - 03:00 PM
Viterbi School of Engineering Graduate Admission
Receptions & Special Events
Preview Day is the Viterbi School's annual visitation day for students interested in pursuing a Master's or PhD at one of the top ranked graduate engineering institutions in the nation. Attendees will meet with engineering faculty, staff and current students; and learn more about our graduate programs in engineering & computer science.
AGENDA
- 9:00 - 9:30am: Check-in - Epstein Family Plaza
- 9:30 - 10:00am: Welcome and Graduate Program Overview
- 10:00 - 11:15am: Department Breakout Sessions
- 11:30am - 12:00pm: Campus Tour
- 12:00 - 1:00pm: Lunch with Current Students & Staff
- 1:00 - 2:00pm: DEN@Viterbi Informational Session
- 1:00 - 1:30pm: Student Engagement Fair
- 1:30 - 2:00pm: Research Institute Presentation
- 2:00 - 3:00pm: Workshops & Dessert Reception
Location: Epstein Family Plaza Main Lawn
Audiences: Prospective Viterbi Graduate Students
Contact: Maria Sandone
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MHI ISSS Seminar - Dr. Kamran Entesari, Friday, Oct. 21st at 2pm in EEB 132 and via Zoom
Fri, Oct 21, 2022 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Kamran Entesari, Texas A&M University
Talk Title: Recent Advances in Millimeter-wave Silicon Photonics Circuits for Wireless Communications
Series: Integrated Systems
Abstract: Nowadays, continuously growing wireless traffic shapes the progress in the wireless communication systems. Therefore, next generation of wireless communication systems are actively
investigated to accommodate expanding data traffic of the future. As one of the promising candidates, silicon photonics devices and circuits are able to improve the performance of the future wireless system.
In this seminar, potential hybrid-integrated mm-wave silicon photonics receivers for future wireless communication systems are explored. The proposed mm-wave silicon photonics reconfigurable receiver front-end can be programmed as either a mm-wave band-pass filter (BPF) for channel selection or a mmwave notch filter for jammer rejection in adjacent and alternate channels within 20-43.5 GHz frequency range. This photonically-assisted mm-wave receiver is optimized for minimum noise figure (NF), maximum linearity or third-order input intercept point (IIP3) and maximum signal to noise ratio (SNR) by optical modulator bias control and optical amplification. Meanwhile, silicon photonics devices are
vulnerable to process and temperature variations. As a result, they require manual calibration, which is expensive, time consuming, and prone to human errors. Therefore, precise automatic calibration solutions with modified monitor-based silicon photonic filter structures are demonstrated and employed in the mmwave silicon photonics receiver. Also, thermal crosstalk effect in the photonic devices is investigated, and substrate thinning is proposed to suppress this effect and reduce calibration time to less than half. The proposed monitor-based tuning method compensates fabrication variations and thermal crosstalk by controlling micro-heaters as tuning elements individually using electrical monitors. This approach
successfully demonstrates calibration and dynamic tuning of silicon photonics filters in the mm-wave receiver from severely degraded initial magnitude response to a well-defined magnitude response.
Biography: Kamran Entesari received his Ph.D. degree from University of Michigan Ann Arbor, in computer Engineering at
Texas A&M University, College Station, where he is currently a Professor. His research interests include the design of RF/mm-wave integrated circuits and systems, and integrated RF/mm-wave photonics for wireless communications and sensing.
Prof. Entesari was a recipient of the 2017 and 2018 Qualcomm Faculty Award, and the 2011 National Science Foundation CAREER Award. He was the corecipient of the 2009 Semiconductor Research Corporation Design Contest Second Place Award, the Best
Student Paper Award of the IEEE RFIC Symposium in 2014 (second place), the IEEE Microwave Theory and Techniques Society award in 2011 (third place), and the IEEE Antennas and Propagation Society award in 2013 (Honorable Mention). He is currently a Technical Program Committee Member of the IEEE RFIC Symposiums and was an Associate Editor of the IEEE Microwave and Wireless Components Letters and a Member of Editorial Board for IEEE Solid-State Circuits Letters. He has published more than 150 peerreviewed
IEEE journal and conference papers.
Host: MHI - ISSS, Hashemi, Chen and Sideris
More Info: Meeting ID: 928 5171 5526, Passcode: 638839
More Information: Abstract and Bio-Oct 21-Entesari.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
Event Link: Meeting ID: 928 5171 5526, Passcode: 638839
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Department of Computer Science Town Hall
Fri, Oct 21, 2022 @ 02:30 PM - 03:45 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
CS Town Hall: An opportunity to meet the new chair, and bring up matters of interest to our students, staff, and faculty.
Add questions for the Town Hall and RSVP at:
https://usc.qualtrics.com/jfe/form/SV_02KDh7ksgBSZmFoLocation: John Stauffer Science Lecture Hall (SLH) - 200
Audiences: Department Only
Contact: Department of Computer Science