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.
Even Cooperative Chess is Hard
Aside from victory questions like “can black force a checkmate on white in 5 moves?” many novel questions can be asked about a game of chess. Some questions are trivial (e.g. “How many pieces does white have?") while more computationally challenging questions can contribute interesting results in computational complexity theory.
In this episode, Josh Brunner, Master's student in Theoretical Computer Science at MIT, joins us to discuss his recent paper Complexity of Retrograde and Helpmate Chess Problems: Even Cooperative Chess is Hard.
Complexity of Retrograde and Helpmate Chess Problems: Even Cooperative Chess is Hard
by Josh Brunner, Erik D. Demaine, Dylan Hendrickson, and Juilian Wellman
1x1 Rush Hour With Fixed Blocks is PSPACE Complete
by Josh Brunner, Lily Chung, Erik D. Demaine, Dylan Hendrickson, Adam Hesterberg, Adam Suhl, Avi Zeff
Consecutive Votes in Paxos
Eil Goldweber, a graduate student at the University of Michigan, comes on today to share his work in applying formal verification to systems and a modification to the Paxos protocol discussed in the paper Significance on Consecutive Ballots in Paxos.
Works Mentioned :
Previous Episode on Paxos
On the Significance on Consecutive Ballots in Paxos by: Eli Goldweber, Nuda Zhang, and Manos Kapritsos
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Visual Illusions Deceiving Neural Networks
Today on the show we have Adrian Martin, a Postdoctorial researcher from the Univeristy of Pompeu Fabra in Barcelona, Spain. He comes on the show today to discuss his research from the paper “Convolutional Neural Networks can be Decieved by Visual Illusions.”
Workes Mentioned in Paper:
“Convolutional Neural Networks can be Decieved by Visual Illusions.” by Alexander Gomez-Villa, Adrian Martin, Javier Vazquez-Corral, and Marcelo Bertalmio
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Earthquake Detection with Crowd-sourced Data
Have you ever wanted to hear what an earthquake sounds like? Today on the show we have Omkar Ranadive, Computer Science Masters student at NorthWestern University, who collaborates with Suzan van der Lee, an Earth and Planetary Sciences professor at Northwestern University, on the crowd-sourcing project Earthquake Detective.
Paper: Applying Machine Learning to Crowd-sourced Data from Earthquake Detective
by Omkar Ranadive, Suzan van der Lee, Vivan Tang, and Kevin Chao
Earthquake Detective: https://www.zooniverse.org/projects/vivitang/earthquake-detective
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Byzantine Fault Tolerant Consensus
Byzantine fault tolerance (BFT) is a desirable property in a distributed computing environment. BFT means the system can survive the loss of nodes and nodes becoming unreliable. There are many different protocols for achieving BFT, though not all options can scale to large network sizes.
Ted Yin joins us to explain BFT, survey the wide variety of protocols, and share details about HotStuff.
Kyle shared some initial reactions to the announcement about Alpha Fold 2's celebrated performance in the CASP14 prediction. By many accounts, this exciting result means protein folding is now a solved problem.
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Customer ReviewsSee All
My favourite listen!
Excellent . But...
Kyle is a good presenter but is problematic at times
monotonous and boring
i don’t really know what it is, the way this person talks or the way he presents the ideas, but i have never been able to focus on a single episode... it’s a long boring monologue that takes so long to get to the point that i’ve drifted off to some other thought
most of the examples given don’t make any sense ... his girlfriend is always disinterested and treated as an intellectually inferior person who’s been part of it from day one and been part of most podcasts but still doesn’t have a clue what this guy is talking about.
right now i’m listening to the BERT podcast and the guy has flitted around to 8 different things and i have NO CKue what the hell hes talking about
i subscribed to it after it was recommended by some youtube and i regret subscribing to it it’s been a total waste of my time
i’ve given it two stars instead of one, that one extra star is for effort, mainly.