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
Jumpstart Your ML Project
Serverless NLP Model Training
Team Data Science Process
Ancient Text Restoration
ML Ops
Annotator Bias
NLP for Developers
Indigenous American Language Research
Talking to GPT-2
Reproducing Deep Learning Models
What BERT is Not
SpanBERT
BERT is Shallow
BERT is Magic
Applied Data Science in Industry
Building the howto100m Video Corpus
BERT
Onnx
Catastrophic Forgetting
Transfer Learning
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