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
Automatic Identification of Outlier Galaxy Images
Do We Need Deep Learning in Time Series
Detecting Drift
Darts Library for Time Series
Forecasting Principles and Practice
Prequisites for Time Series
Orders of Magnitude
They're Coming for Our Jobs
Pandemic Machine Learning Pitfalls
Flesch Kincaid Readability Tests
Fairness Aware Outlier Detection
Life May be Rare
Social Networks
The QAnon Conspiracy
Benchmarking Vision on Edge vs Cloud
Goodhart's Law in Reinforcement Learning
Video Anomaly Detection
Fault Tolerant Distributed Gradient Descent
Decentralized Information Gathering
Leaderless Consensus
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