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Introduction to A* algorithm
Pathfinders let you plan ahead rather than waiting until the last moment to discover there’s a problem. There’s a tradeoff between planning with pathfinders and reacting with movement algorithms. Planning generally is slower but gives better results; movement is generally faster but can get stuck. If the game world is changing often, planning ahead is less valuable. I recommend using both: pathfinding for big picture, slow changing obstacles, and long paths; and movement for local area, fast changing, and short paths.

http://theory.stanford.edu/~amitp/GameProgramming/
lisp  algorithm  AI 
9 minutes ago by rcyphers
Microsoft Cognitive Toolkit
A free, easy-to-use, open-source, commercial-grade toolkit that trains deep learning algorithms to learn like the human brain.
cntk  microsoft  deep  learning  ai  machine-learning  toolkit  library  programming  python  algorithm 
11 hours ago by vicchow
BBC - Culture - Can data reveal the saddest number one song ever?
Data journalist Miriam Quick put Spotify’s new algorithm to the test, analysing over 1000 tracks to find the saddest pop songs to top the charts. The results were surprising. he streaming service has collected metadata on each of 35 million songs in their database, accessible through their web API, that includes a valence score for every track, from 0 to 1. “Tracks with high valence sound more positive (eg happy, cheerful, euphoric), while tracks with low valence sound more negative (eg sad, depressed, angry)”, according to Spotify. There are similar scores for other parameters including energy (how “fast, loud and noisy” a track is) and danceability, which is exactly what it sounds like.
spotify  algorithm  valence  echonest  sad  song  bbc  dj  web  api  AcousticBrainz  spotifyr  music  data 
15 hours ago by gdw
(44) The Truth About Algorithms | Cathy O'Neil - YouTube
We live in the age of the algorithm - mathematical models are sorting our job applications, curating our online worlds, influencing our elections, and even deciding whether or not we should go to prison. But how much do we really know about them? Former Wall St quant, Cathy O'Neil, exposes the reality behind the AI, and explains how algorithms are just as prone to bias and discrimination as the humans who program them.
math  data  video  animation  rsa  cathy  o'neil  algorithm 
17 hours ago by timstahmer
Useful links | Bloggy notes
Some good links to geometric algorithms (among other things)
generative  art  links  algorithm 
2 days ago by amcewen

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