Abstract: Neural image compression, necessary in various machine-to-machine communication scenarios, suffers from its heavy encode-decode structures and inflexibility in switching between different ...

Anyone can code using AI. But it might come with a hidden cost. Subscribe to read this story ad-free Get unlimited access to ad-free articles and exclusive content. Over the past year, AI systems have ...

Scientists have created a microscopic QR code so tiny it can only be seen with an electron microscope—smaller than most bacteria and now officially a world record. But this isn’t just about size; it’s ...

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 ...

TensorFlow Compression (TFC) contains data compression tools for TensorFlow. You can use this library to build your own ML models with end-to-end optimized data compression built in. It's useful to ...

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 ...