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    Natural Sciences

    Data Skeptic

    The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.

    Advertise

    Copyright: © Creative Commons Attribution License 3.0

    • Apple Podcasts
    • Google Play
    • Spotify

    Latest Episodes:
    Life May be Rare Apr 05, 2021
    Show notes

    Today on the show Dr. Anders Sandburg, Senior Research Fellow at the Future of Humanity Institute at Oxford University, comes on to share his work "The Timing of Evolutionary Transitions Suggest Intelligent Life is Rare."

    Works Mentioned:

    Paper: "The Timing of Evolutionary Transitions Suggest Intelligent Life is Rare."by Andrew E Snyder-Beattie, Anders Sandberg, K Eric Drexler, Michael B Bonsall

    Twitter: @anderssandburg


    Social Networks Mar 29, 2021
    Show notes

    Mayank Kejriwal, Research Professor at the University of Southern California and Researcher at the Information Sciences Institute, joins us today to discuss his work and his new book Knowledge, Graphs, Fundamentals, Techniques and Applications by Mayank Kejriwal, Craig A. Knoblock, and Pedro Szekley.

    Works Mentioned "Knowledge, Graphs, Fundamentals, Techniques and Applications"by Mayank Kejriwal, Craig A. Knoblock, and Pedro Szekley


    The QAnon Conspiracy Mar 22, 2021
    Show notes

    QAnon is a conspiracy theory born in the underbelly of the internet. While easy to disprove, these cryptic ideas captured the minds of many people and (in part) paved the way to the 2021 storming of the US Capital.

    This is a contemporary conspiracy which came into existence and grew in a very digital way. This makes it possible for researchers to study this phenomenon in a way not accessible in previous conspiracy theories of similar popularity.

    This episode is not so much a debunking of this debunked theory, but rather an exploration of the metadata and origins of this conspiracy.

    This episode is also the first in our 2021 Pilot Season in which we are going to test out a few formats for Data Skeptic to see what our next season should be. This is the first installment. In a few weeks, we're going to ask everyone to vote for their favorite theme for our next season.


    Benchmarking Vision on Edge vs Cloud Mar 15, 2021
    Show notes

    Karthick Shankar, Masters Student at Carnegie Mellon University, and Somali Chaterji, Assistant Professor at Purdue University, join us today to discuss the paper "JANUS: Benchmarking Commercial and Open-Source Cloud and Edge Platforms for Object and Anomaly Detection Workloads"

    Works Mentioned:

    https://ieeexplore.ieee.org/abstract/document/9284314 "JANUS: Benchmarking Commercial and Open-Source Cloud and Edge Platforms for Object and Anomaly Detection Workloads."

    by: Karthick Shankar, Pengcheng Wang, Ran Xu, Ashraf Mahgoub, Somali ChaterjiSocial Media

    Karthick Shankar https://twitter.com/karthick_sh

    Somali Chaterji https://twitter.com/somalichaterji?lang=en https://schaterji.io/


    Goodhart's Law in Reinforcement Learning Mar 05, 2021
    Show notes

    Hal Ashton, a PhD student from the University College of London, joins us today to discuss a recent work Causal Campbell-Goodhart's law and Reinforcement Learning.

    "Only buy honey from a local producer." - Hal Ashton

    Works Mentioned:

    "Causal Campbell-Goodhart's law and Reinforcement Learning"by Hal AshtonBook "The Book of Why"by Judea PearlPaper

    Thanks to our sponsor!

    When your business is ready to make that next hire, find the right person with LinkedIn Jobs. Just visit LinkedIn.com/DATASKEPTIC to post a job for free! Terms and conditions apply

    Video Anomaly Detection Mar 01, 2021
    Show notes

    Yuqi Ouyang, in his second year of PhD study at the University of Warwick in England, joins us today to discuss his work "Video Anomaly Detection by Estimating Likelihood of Representations."Works Mentioned:

    Video Anomaly Detection by Estimating Likelihood of Representations https://arxiv.org/abs/2012.01468 by: Yuqi Ouyang, Victor Sanchez


    Fault Tolerant Distributed Gradient Descent Feb 22, 2021
    Show notes

    Nirupam Gupta, a Computer Science Post Doctoral Researcher at EDFL University in Switzerland, joins us today to discuss his work "Byzantine Fault-Tolerance in Peer-to-Peer Distributed Gradient-Descent."

    Works Mentioned: https://arxiv.org/abs/2101.12316

    Byzantine Fault-Tolerance in Peer-to-Peer Distributed Gradient-Descent by Nirupam Gupta and Nitin H. Vaidya

    Conference Details:

    https://georgetown.zoom.us/meeting/register/tJ0sc-2grDwjEtfnLI0zPnN-GwkDvJdaOxXF


    Decentralized Information Gathering Feb 15, 2021
    Show notes

    Mikko Lauri, Post Doctoral researcher at the University of Hamburg, Germany, comes on the show today to discuss the work Information Gathering in Decentralized POMDPs by Policy Graph Improvements.

    Follow Mikko: @mikko_lauri Github https://laurimi.github.io/


    Leaderless Consensus Feb 05, 2021
    Show notes

    Balaji Arun, a PhD Student in the Systems of Software Research Group at Virginia Tech, joins us today to discuss his research of distributed systems through the paper "Taming the Contention in Consensus-based Distributed Systems."

    Works Mentioned "Taming the Contention in Consensus-based Distributed Systems" by Balaji Arun, Sebastiano Peluso, Roberto Palmieri, Giuliano Losa, and Binoy Ravindranhttps://www.ssrg.ece.vt.edu/papers/tdsc20-author-version.pdf

    "Fast Paxos" by Leslie Lamport https://link.springer.com/article/10.1007/s00446-006-0005-x


    Automatic Summarization Jan 29, 2021
    Show notes

    Maartje ter Hoeve, PhD Student at the University of Amsterdam, joins us today to discuss her research in automated summarization through the paper "What Makes a Good Summary? Reconsidering the Focus of Automatic Summarization."

    Works Mentioned "What Makes a Good Summary? Reconsidering the Focus of Automatic Summarization." by Maartje der Hoeve, Juilia Kiseleva, and Maarten de Rijke

    Contact Email: m.a.terhoeve@uva.nl

    Twitter: https://twitter.com/maartjeterhoeve

    Website: https://maartjeth.github.io/#get-in-touch


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