In today’s episode, Gregory Glatzer explained his machine learning project that involved the prediction of elephant movement and settlement, in a bid to limit the activities of poachers. He used two machine learning algorithms, DBSCAN and K-Means clustering at different stages of the project. Listen to learn about why these two techniques were useful and what conclusions could be drawn.
Ape Gestures
Evaluating AI Abilities
HMMs for Behavior
Bioinspired Engineering
Modelling Evolution
Behavioral Genetics
Signal in the Noise
Pose Tracking
Modeling Group Behavior
Advances in Data Loggers
What You Know About Intelligence is Wrong (fixed)
Animal Decision Making
Octopus Cognition
Optimal Foraging
Memory in Chess
OpenWorm
What the Antlion Knows
AI Roundtable
Uncontrollable AI Risks
I LLM and You Can Too
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