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No strong matches for “simulation”. Here are the closest videos.
Animated Voting Methods6:18

Animated Voting Methods

16K views • 9 years ago
Unify The Vote
An animated simulation comparing single-winner voting methods such as plurality, instant runoff and STAR. Colored regions show which candidate wins as a randomized electorate shifts across a two-dimensional political space, building on Ka-Ping Yee's earlier diagrams.
What is a Geometry Kernel? C3D vs ACIS vs Parasolid9:27

What is a Geometry Kernel? C3D vs ACIS vs Parasolid

25K views • 4 years ago
nickkallen1
The Plasticity creator explains what a geometry kernel is and compares commercial options C3D, ACIS, and Parasolid, describing his months of research and why he chose as he did.
Topic match · Computer graphics & rendering
AI Learns Noise Filtering For Photorealistic Videos | Two Minute Papers #2154:17

AI Learns Noise Filtering For Photorealistic Videos | Two Minute Papers #215

65K views • 8 years ago
Two Minute Papers
A Two Minute Papers episode on NVIDIA's recurrent denoising autoencoder, which cleans up noisy Monte Carlo path-traced image sequences. It shows how a neural network can produce usable renders from very few samples.
Topic match · Computer graphics & rendering
pointerpointer.com's use of voronoi, canvas, and javascript3:45

pointerpointer.com's use of voronoi, canvas, and javascript

40K views • 14 years ago
Paul Irish
Paul Irish explains how pointerpointer.com works. It uses a hidden canvas of colored Voronoi regions to look up which photo matches the cursor position.
Topic match · Computer graphics & rendering
Unix and Google7:16

Unix and Google

9K views • 10 years ago
FOAM
A short animated simulation comparing how Multics and Unix were developed, showing why Unix's small composable programs and pipes gave it a efficiency advantage. It frames Unix as a moonshot achievable by a small team.
Dance p 3 Mar099:36

Dance p 3 Mar09

83K views • 17 years ago
Geoff Cumming
Geoff Cumming uses a simulation to show how wildly the p value varies from one replication to the next because of sampling variability. He argues for estimation and confidence intervals over null hypothesis significance testing.