Data Skeptic

Your trusted podcast, centered on data science, machine learning, and artificial intelligence.

Tune in weekly for the latest interviews with leading experts.

Latest Podcast

Life May Be Rare (43:13)

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.”


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.

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.

Hal Ashton, a PhD student from the University College of London, joins us today to discuss a recent work

Yuqi Ouyang, in his second year of PhD study at the University of Warwick in England, joins us today to discuss his work

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.

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.

Maartje der 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.

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

Omkar Ranadive and Suzan van der Lee join us to discuss the recent paper Applying Machine Learning to Crowd-sourced Data from Earthquake Detective.

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.

Alpha Fold - 2020-12-11

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.

Counting Briberies in Elections

Computer Science research fellow of Cambridge University, Heidi Howard discusses Paxos, Raft, and distributed consensus in distributed systems alongside with her work Paxos vs. Raft: Have we reached consensus on distributed consensus?

ACID Compliance - 2020-10-23
Retraction Watch - 2020-10-05