Abstract: The exponential growth of digital imagery necessitates advanced compression techniques that balance storage efficiency, transmission speed, and image quality. This paper presents an embedded ...
Random rotation: Multiply the input vector by a fixed random orthogonal matrix. This makes each coordinate follow a known Beta(d/2, d/2) distribution. Lloyd-Max scalar quantization: Quantize each ...
The big picture: Google has developed three AI compression algorithms – TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss – designed to significantly reduce the memory footprint of large ...
As the U.S.-Israeli war on Iran continues, we look at how the Pentagon is using artificial intelligence in its operations. The system, known as Project Maven, relies on technology by Palantir and also ...
Abstract: In training image generators, autoencoders (AEs) are used to compress data into latent variables. However, when attempting to reconstruct video images, learning more complex distributions is ...
Stay up to date with everything that is happening in the wonderful world of AM via our LinkedIn community. Formula 1’s governing body, the FIA, introduced a revised compression ratio ceiling of 16:1 ...
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