Abstract: The widespread use of artificial intelligence has reached to almost every application dealing with lot of real-world problems. The need for hardware and power efficient deep neural network ...

Forward-looking: Intel is pitching a new way to pack game textures that leans heavily on neural networks but still nods to traditional block compression. The company's Texture Set Neural Compression, ...

Slate, characterized by its layered structure, exhibits mechanical properties predominantly influenced by structural planes. To investigate the mechanical behavior and failure modes of slate under ...

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 ...