- survey several important computational problems for which the traditional worst-case analysis of algorithms is ill-suited
- study systematically alternatives to worst-case analysis
Gibson’s underlying database of spaces includes 572 full buildings composed of 1447 floors covering a total area of 211k m2s. The database is collected from real indoor spaces using 3D scanning and reconstruction. For each space, we provide: the 3D reconstruction, RGB images, depth, surface normal, and for a fraction of the spaces, semantic object annotations. In this page you can see various visualizations for each space, including 3D dissections, exploration using a randomly controlled husky agent, and standard point-to-point navigation episodes
In contrast to most traditional bottom-up methods of education, I discuss how taking existing creations and remixing them provides a more grounded and meaningful unstructured educational experience, drawing on examples from creative media such as games, websites, and music.
Programmers think dynamic languages like Python are easier to use than static ones, but why? I look at uniquely dynamic programming idioms and their static alternatives, identifying a few broad trends that impact language usability.