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Events for April 15, 2019
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Portland, OR - Admitted Student Reception
Mon, Apr 15, 2019
Viterbi School of Engineering Undergraduate Admission
University Calendar
These Admitted Student Programs, hosted by the Undergraduate Admission Office, provide admitted students and their families an opportunity to meet admission counselors, representatives from academic departments, alumni, and you will have the opportunity to meet other admitted students from your local area. Viterbi and University Admission counselors will be there to answer any questions you might have, tell you more about campus life and your specific academic program, and welcome you to the Trojan Family. The program will last approximately two hours.
We love seeing our newly admitted students in person! if you live in or near a city we will be visiting, we encourage you to join us!
Once admitted, students can find the RSVP link in their USC Applicant Portal.Audiences: Admitted Students & Family Members
Contact: Viterbi Admission
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Spring Explore USCMon, Apr 15, 2019
Viterbi School of Engineering Undergraduate Admission
University Calendar
Spring Explore is a full-day program running from 8:30am-5pm. The day includes a presentation from the Office of Admission, a USC Campus Tour, and visit with us in the Viterbi School of Engineering. During your time with us you will learn what your life will be like as an engineering student at USC, meet some of our current engineering students, see facilities and labs, and get your questions answered about the enrollment process, housing, and your "next steps".
Once admitted, students can find the RSVP link in their USC Applicant Portal.Audiences: Spring Admits & Family Members
Contact: Viterbi Admission
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Ming Hsieh Institute Research and Technology Series
Mon, Apr 15, 2019 @ 10:00 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Mary Czerwinski, Principal Researcher and Research Manager of the Visualization andInteraction (VIBE) Research Group at Microsoft
Talk Title: Using Technology for Health and Wellbeing
Series: MHI Research & Technology Seminar
Abstract: How can we create technologies to help us reflect on and change our behavior, improve our health and overall wellbeing both at work and at home? In this talk, I will briefly describe the last several years of work our research team has been doing in this area. We have developed wearable technology to help families manage tense situations with their children, mobile phone-based applications for handling stress and depression, as well as logging tools that can help you stay focused or recommend good times to take a break at work. The overarching goal in all of this research is to develop tools that adapt to the user so that they can maximize their productivity and improve their health and happiness.
Biography: Dr. Mary Czerwinski is a Principal Researcher andResearch Manager of the Visualization and Interaction(VIBE) Research Group. Mary's latest research focuses primarily on emotion tracking and intervention design and delivery, information worker task management and health and wellness for individuals and groups. Her research background is in visual attention and multitasking. She holds a Ph.D. in Cognitive Psychology from Indiana University in Bloomington. Mary was awarded the ACM SIGCHI Lifetime Service Award, was inducted into the CHI Academy, and became an ACM Distinguished Scientist in 2010. She also received the Distinguished Alumni Award from Indiana University's Brain and Psychological Sciences department in 2014. Mary became a Fellow of the ACM in 2016. More information about Dr. Czerwinskican be found at her website:https://www.microsoft.com/en-us/research/people/marycz/
Host: Ming Hsieh Institute
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Benjamin Paul
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CS Colloquium: Jeff Clune (University of Wyoming) - Understanding and Improving Deep Neural Networks
Mon, Apr 15, 2019 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Jeff Clune, University of Wyoming
Talk Title: Understanding and Improving Deep Neural Networks
Series: CS Colloquium
Abstract: Through deep learning, deep neural networks have produced state-of-the-art results in a number of different areas of machine learning, including computer vision, natural language processing, robotics and reinforcement learning. I will summarize three projects on better understanding deep neural networks and improving their performance. First I will describe our sustained effort to study how much deep neural networks know about the images they classify. Our team initially showed that deep neural networks are "easily fooled," meaning they will declare with near certainty that completely unrecognizable images are everyday objects. These results suggested that deep neural networks do not truly understand the objects they classify. However, our subsequent results reveal that, when augmented with powerful priors, deep neural networks actually have a surprisingly deep understanding of objects, which also enables them to be incredibly effective generative models that can produce a wide diversity of photo-realistic images. Second, I will summarize our Nature paper on learning algorithms that enable robots, after being damaged, to adapt in 1-2 minutes in order to continue performing their mission. This work combines a novel stochastic optimization algorithm with Bayesian optimization to produce state-of-the-art robot damage recovery. Third, I will describe our recent Go-Explore algorithm, which dramatically improves the ability of deep reinforcement learning algorithms to solve previously unsolvable problems wherein reward signals are sparse, meaning that intelligent exploration is required. Go-Explore solves Montezuma's Revenge, considered by many to be a grand challenge of AI research. I will also very briefly summarize a few other machine learning projects from my career, including our PNAS paper on automatically identifying, counting, and describing wild animals in images taken remotely by motion-sensor cameras.
Biography: Jeff Clune is the Loy and Edith Harris Associate Professor in Computer Science at the University of Wyoming and a Senior Research Manager and founding member of Uber AI Labs, which was formed after Uber acquired a startup he helped lead. Jeff focuses on robotics and training deep neural networks via deep learning, including deep reinforcement learning. Since 2015, a robotics paper he co-authored was on the cover of Nature, a deep learning paper from his lab was on the cover of the Proceedings of the National Academy of Sciences, he won an NSF CAREER award, his deep learning papers were awarded honors (best paper awards and/or oral presentations) at the top machine learning conferences (NeurIPS, CVPR, ICLR, and ICML), he was an invited speaker at five ICML and two NeurIPS workshops (including the NeurIPS Deep Reinforcement Learning Workshop), and he was invited to give a forthcoming ICML tutorial. His research is regularly covered in the press, including the New York Times, NPR, NBC, Wired, the BBC, the Economist, Science, Nature, National Geographic, the Atlantic, and the New Scientist. Prior to becoming a professor, he was a Research Scientist at Cornell University and received degrees from Michigan State University (PhD, master's) and the University of Michigan (bachelor's).
Host: Yan Liu
Location: Ronald Tutor Hall of Engineering (RTH) - 115
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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Spring 2019 ITP Open House
Mon, Apr 15, 2019 @ 04:00 PM - 06:00 PM
Technology & Applied Computing Program (TAC)
Workshops & Infosessions
All current and prospective students are invited to attend. Learn about our classes, ask questions about our minor programs, and meet our faculty.
We'll have snacks from Porto's Bakery to enjoy with coffee and tea, and advisers will be available to answer questions about course planning and how to declare minors! Stop by whenever you are able to. No RSVP required.More Information: Spring 2019 ITP Open Houses.pdf
Location: Von Kleinsmid Center For International & Public Affairs (VKC) - 155
Audiences: Everyone Is Invited
Contact: Tim Gotimer
