"mousecrack" (no capitalization): "Imitate human mouse movement with deep learning"

"Synthesize organically varied, human-like mouse movement."

"This project aims to test the abilities of deep-learning for mouse imitation."

How does it work?

"Mousecrack treats mouse prediction like a time forecasting problem."

"It models mouse movement as a change in position (dx, dy) and time (dt), and tries to predict the next step in this multivariate time series."

Further down it says,

"To avoid the mode collapse" (not to be confused with model collapse) "problem, Mousecrack uses a Mixture Density Network to model several trajectories as a probability distribution."

"Mode collapse" refers to when a generative model gives output less diverse than expected, essentially getting stuck in a subset of "modes".

"Model collapse" is when AI models train on their own output. People are filling the internet up with AI-generated text, much of which will become training data for future rounds of AI models.

puffinsoft / mousecrack

#solidstatelife #ai #genai #timeseries