Abstract: This paper proposed a satellite remote sensing image compression algorithm based on neural network architecture evolution, the method includes a neural network automatic evolution method, a ...

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 ...

Topics python deep-learning numpy transformer attention quantization vector-quantization model-compression inference-optimization memory-optimization kv-cache post-training-quantization llm ...

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 ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

VS Code 1.112 agents can now read image files from disk. The image carousel can open generated or selected images in chat. My PoC used three leaderboard screenshots to summarize model trade-offs.