I have zero coding skills, but I was able to quickly assemble camera feeds from around the world into a single view. Here's ...

Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...

MicroPython is a well-known and easy-to-use way to program microcontrollers in Python. If you’re using an Arduino Uno Q, ...

Abstract: In the CORSA project [1] we demonstrated an AI method for near-lossless image compression for Sentinel-2 data using the concept of vector quantized auto-encoders. As part of the MOVIQ ...

In this eye-opening documentary, we explore how fake weapons are shaping real outcomes on the modern battlefield. Ukrainian engineers and volunteers reveal how decoys—from wooden tanks to mock Patriot ...

A team of researchers led by California Institute of Technology computer scientist and mathematician Babak Hassibi says it has created a large language model that radically compresses its size without ...

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 ...

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

TurboQuant compresses AI model vectors from 32 bits down to as few as 3 bits by mapping high-dimensional data onto an efficient quantized grid. (Image: Google Research) The AI industry loves a big ...