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Not exactly a smash hit, but we learned a lot! https://kinematicsoup.com/news/2018/6/28/epic-announces-1m-in-developer-grants-scene-fusion-in-included monthly 0.5 2024-06-24 https://kinematicsoup.com/news/2018/3/21/make-something-unreal monthly 0.5 2024-06-24 https://kinematicsoup.com/news/2017/11/21/scene-fusion-17-what-a-journey monthly 0.5 2024-07-31 https://images.squarespace-cdn.com/content/v1/525ed7ade4b0924d2f499223/1511291654855-JNFRQLGKD401VZUACPGO/SF-dungeon.jpg Blog - Scene Fusion 1.7, What a Journey! Thank you, Unity Labs! https://kinematicsoup.com/news/2017/8/17/data-compression-crushing-data-using-entropy monthly 0.5 2024-06-24 https://images.squarespace-cdn.com/content/v1/525ed7ade4b0924d2f499223/1503530266258-CD2RWWU00BMTN1KZPY1G/encoding+visual.png Blog - Data Compression: Crushing Data Using Entropy Here is how you encode the first few symbols of a string of bits. At each stage, a symbol gets encoded by tracking the resulting proability. At the first stage, the output is 0.75. We then 'zoom in' on the 0...0.75 range and repeat the process with the probability model. The 0 occupies the upper .25 of the probability space, so we zoom in on the 0.5625...0.75 range. The process repeats until the last symbol is encoded, and the output of the process is 0.66796875. https://images.squarespace-cdn.com/content/v1/525ed7ade4b0924d2f499223/1503530308389-97PX4ZRZNCPBI3LC56ZC/decoding+visual.png Blog - Data Compression: Crushing Data Using Entropy The decoding process uses the same math to compute the progression of probability ranges. The encoded number will always fall in the correct probability range for the given symbol at each stage, allowing the original data to be decoded. Here we test the encoded message 0.66796875 against each iteration of the probability ranges and emits the symbol associated with the sub-range the value sits in. In this case, 0.6679... sits below 0.75 in the first iteration, so the first symbol is a 1. We then rescale the ranges in the same way as when we encoded and test again. We find that 0.6679... is larger than 0.5625, which sits in the probability range for 0, so we emit a 0. 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