On today’s show, we are joined by our co-host, Becky Hansis-O’Neil. Becky is a Ph.D. student at the University of Missouri, St Louis, where she studies bumblebees and tarantulas to understand their learning and cognitive work.
She joins us to discuss the paper: Perception in Chess. The paper aimed to understand how chess players perceive the positions of chess pieces on a chess board. She discussed the findings paper. She spoke about situations where grandmasters had better recall of chess positions than beginners and situations where they did not.
Becky and Kyle discussed the use of chess engines for cheating. They also discussed how chess players use chunking. Becky discussed some approaches to studying chess cognition, including eye tracking, EEG, and MRI.
## Paper in Focus
Perception in chess
## Resources
Detecting Cheating in Chess with Ken Regan
Self-Explaining AI
Plastic Bag Bans
Self Driving Cars and Pedestrians
Computer Vision is Not Perfect
Uncertainty Representations
AlphaGo, COVID-19 Contact Tracing and New Data Set
Visualizing Uncertainty
Interpretability Tooling
Shapley Values
Anchors as Explanations
Mathematical Models of Ecological Systems
Adversarial Explanations
ObjectNet
Visualization and Interpretability
Interpretable One Shot Learning
Fooling Computer Vision
Algorithmic Fairness
Interpretability
NLP in 2019
The Limits of NLP
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