We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...

ABSTRACT: The transitional blending between terrain and objects is a core challenge in enhancing the realism of game scenes. Aiming at the problems of poor universality, reliance on high-configuration ...

The field of quantum machine learning, which aims to leverage quantum computing to improve upon classical machine learning, has made notable progress recently. A study published in Intelligent ...

In the ever-evolving landscape of video technology, new encoding scenarios present a set of new challenges in measuring accurately perceived quality. Accurate quality measurement is essential for ...

In QML, classical data must be encoded into quantum states. This process maps classical data to a quantum Hilbert space, allowing quantum operations to be performed on it. Various encoding techniques ...

Abstract: The new coding standard Versatile Video Coding (VVC) introduces additional encoding techniques based on the existing video coding standard, such as the difference in block partition ...

Abstract: The existing body of research on quantum embedding techniques is not only confined in scope but also lacks a comprehensive understanding of the intricacies of the quantum embedding process.

This study explores the integration of quantum data embedding techniques into classical machine learning (ML) algorithms; to assess performance enhancements and computational implications across a ...

Large language model (LLM) research and applications have advanced remarkably in recent years. These generative models have enthralled the artificial intelligence community, and many models trained on ...

encodify is a powerful Python module designed to provide a suite of advanced encoding techniques for Python scripts. These encoding methods encompass compression, base64 encoding, and XOR encryption, ...