Conferences, Lectures, & Seminars
Events for February
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NL Seminar-Why journalism is broken and how data can help fix it
Wed, Feb 05, 2020 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Gabriel Kahn , USC Annenberg
Talk Title: Why journalism is broken and how data can help fix it
Series: Natural Language Seminar
Abstract: Pizza gate, Russian trolls, deep fakes. We live in an information swamp and it sucks. At its core, the crisis in journalism is about a shifting economic model that has made it difficult for legitimate news organizations to survive. The consequences are dire. But harnessing data in the right ways can provide vital information to communities and can help news organizations do more with less. The future of a healthy news environment requires collaboration between news, data and computer science. Gabriel Kahn outlines the current problems and some potential solutions.
Biography: Gabriel Kahn has worked as a newspaper correspondent and editor for three decades, including 10 years at The Wall Street Journal, where he served as Los Angeles bureau chief, deputy Hong Kong bureau chief and deputy Southern Europe bureau chief, based in Rome. He has reported from more than a dozen countries on three continents. He joined USC Annenberg in the fall of 2010, where he jointly runs the Media, Economics and Entrepreneurship program. The goal of M 2e is to bolster students understanding of economics and encourage innovation and experimentation with new ideas in communication and journalism. In addition to his teaching and reporting work, Kahn studies the economic models of the news industry and consults with startups and established news companies on strategy. In 2018, he launched Crosstown, which has pioneered a new approach to local news through data.
Host: Emily Sheng
More Info: https://nlg.isi.edu/nl-seminar
Webcast: https://bluejeans.com/s/FVVU4/Location: Information Science Institute (ISI) - CR 689
WebCast Link: https://bluejeans.com/s/FVVU4/
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: https://nlg.isi.edu/nl-seminar
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. -
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
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.
