A high-performance image compression algorithm is crucial for real-time information transmission across numerous fields. Despite rapid progress in image compression, computational inefficiency and ...

Abstract: Distributed deep learning faces a major bottleneck in communication efficiency due to the frequent exchange of gradient information among computing nodes. Gradient compression offers a ...

"to 'think step by step'), few-shot CoT (where the prompt includes several " "worked examples), and self-consistency (where multiple independent reasoning " "paths are sampled and the final answer is ...

Algorithms are everywhere, even when we do not notice them. They help us search the web, navigate roads, and discover new content online. Understanding how algorithms work is one of the simplest ways ...

Abstract: Data compression is critical for efficient data operations such as migration, backup, and analytical processing. While there has been significant research into compression techniques for ...