Recent efforts to accelerate inference in Multimodal Large Language Models (MLLMs) have largely focused on visual token compression. The effectiveness of these methods is commonly evaluated by ...

This package was developed to enable scalable, reusable and reproducable research of weight pruning, quantization and distillation methods with ease. This package contains implementations of several ...

Thermo Fisher Scientific serves the pharmaceutical, biotech, and life sciences industries as a strategic contract development ...

A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically ...

GBP K.K. has launched a new Mechanical Inline Connector for the Japanese market, designed to enable direct inline connection ...

Researchers have developed a dynamic range compression dual-domain attention network for enhancing tunnel images under extreme exposure conditions, a problem that continues to challenge transportation ...

Abstract: Learned lossless compression methods for volumetric biomedical images have achieved significant performance improvements compared with the traditional ones. However, they often perform ...

Abstract: In this paper, we address the limitations of current measures for estimating the lossless compression limits. Shannon entropy, while practical, assumes a known data distribution and does not ...

Learn how to compress images and JPEG files to reduce file size, speed up your website and maintain image quality.

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 ...