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Events for February 07, 2020
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Grammar TutoringFri, Feb 07, 2020 @ 10:00 AM - 12:00 PM
Viterbi School of Engineering Student Affairs
Workshops & Infosessions
INDIVIDUAL GRAMMAR TUTORIALS
Need help refining your grammar skills in your academic and professional writing? Meet one-on-one with professors from the Engineering Writing Program, work together on your grammar skills, and take your writing to the next level!
ALL VITERBI UNDERGRADUATE AND GRADUATE STUDENTS WELCOME!
Sign up here: http://bit.ly/grammaratUSC
All sessions will be via Zoom.
Questions? Contact helenhch@usc.eduLocation: ZOOM
Audiences: Graduate and Undergraduate Students
Contact: Helen Choi
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NL Seminar-MACHINE LEARNING THROUGH THE INFORMATION BOTTLENECK
Fri, Feb 07, 2020 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Artemy Kolchinsky, Santa Fe Institute
Talk Title: MACHINE LEARNING THROUGH THE INFORMATION BOTTLENECK
Series: Natural Language Seminar
Abstract: he information bottleneck IB has been proposed as a principled way to compress a random variable, while only preserving that information which is relevant for predicting another random variable. In recent times, the IB has been proposed and challenged as a theoretical framework for understanding why and how deep learning architectures achieve good performance. I will cover: 1. an introduction to the ideas behind IB, 2. methods for implementing information-theoretic compression in neural networks + some possible applications of such methods, 3. the current status of the IB theory of deep learning, 4. recently discovered caveats that arise for IB in machine learning scenarios.
Biography: Artemy Kolchinsky is a postdoctoral fellow at the Santa Fe Institute (Santa Fe, NM). His work lies at the intersection of information theory, statistical physics, and machine learning. He is interested in using tools from statistical physics to derive fundamental bounds on the ability of real-world agents whether protocells, organisms, or computers to acquire and exploit information in adaptive ways.
Host: Emily Sheng
More Info: https://nlg.isi.edu/nl-seminar
Webcast: https://bluejeans.com/298422226Location: Information Science Institute (ISI) - CR #1016
WebCast Link: https://bluejeans.com/298422226
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: https://nlg.isi.edu/nl-seminar
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Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar
Fri, Feb 07, 2020 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Nikunj Mehta, Falkonry
Talk Title: Discovering and Explaining Patterns in Industrial Multivariate Time Series Data
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Complex assets and process units exhibit many different behaviors during the course of industrial operations. Identifying and removing sources of inefficiency in these operations is essential for advancing manufacturing and process operations. In this talk, we explain how classification as opposed to anomaly detection and forecasting is the essential machine learning problem for Industry 4.0. We explain the main challenges for these machine learning problems to motivate research directions. We then describe a signal processing pipeline and user interface for democratizing such machine learning and real-time processing.
Biography: Dr. Nikunj founded Falkonry after realizing that very valuable operational data produced in industrial infrastructure goes mostly unutilized in the energy, manufacturing and transportation sectors. Falkonry has enabled companies to scale predictive operations. Falkonry has significantly improved their uptime, yield and quality. Prior to Falkonry, Dr. Mehta led software architecture and customer success for C3 IoT. Earlier, he led innovation teams at Oracle focused on database technology and led the creation of the IndexedDB standard for databases embedded inside all modern browsers. He has contributed to standards at both W3C and IETF, and is a member of the ACM.
Host: Paul Bogdan, pbogdan@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Talyia White
