Morgan Stanley Direct Lending Fund (MSDL) remains a sell as persistent NAV deterioration and thin dividend coverage signal ...

Gunn is part of a research team at UC Berkeley that has developed an undetectable watermark for generative image models. The ...

Reports have surfaced that some manufacturers have asked for clarification because Mercedes and potentially Red Bull ...

Abstract: To implement deep learning models on edge devices, model compression methods have been widely recognized as useful. However, it remains unclear which model compression methods are effective ...

The increasing prevalence of large language models (LLMs) such as GPT-4 in various applications has led to a surge in the size of prompts required for optimal performance, leading to challenges in ...

Safe and cost-effective storage represents one of the major hurdles in the widespread adoption of “clean” hydrogen in energy applications. A hydrogen-storage approach called cryo-compression is being ...

AOCL-Compression is a software framework of various lossless compression and decompression methods tuned and optimized for AMD Zen based CPUs. This framework offers a single set of unified APIs for ...

People store large quantities of data in their electronic devices and transfer some of this data to others, whether for professional or personal reasons. Data compression methods are thus of the ...

Add a description, image, and links to the compression-methods topic page so that developers can more easily learn about it.

The rapid advancement of large language models (LLMs) has exposed critical infrastructure challenges in model deployment and communication. As models scale in size and complexity, they encounter ...