Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...

Abstract: As multilingual communication systems continue to grow in complexity, there is a growing need for reliable and consistent methods to evaluate automatic translation quality. Existing ...

The need for machine vision is growing across a range of applications, including security, traffic and city cameras, retail analytics, automated inspection, process control, and vision-guided robotics ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

Getting started with Machine Learning and Deep Learning Module 1 - Python Programming Intro to Python Data Structures in Python (List, Tuple, Set, Dictionary) Control Statements (Decision and Loops) ...

@article{wang2025deeptrans, title={Deep Reasoning Translation via Reinforcement Learning}, author={Wang, Jiaan and Meng, Fandong and Zhou, Jie}, journal={arXiv ...

The Department of Justice recently issued guidance encouraging federal agencies to use “artificial intelligence and machine translation to communicate with individuals who are limited English ...

The rapid advancement of translation technology and the increasing demand for professionals skilled in its application have highlighted the need for innovative and flexible pedagogies. Blended ...

Abstract: Technological advances and AI tools can help address the challenges faced by individuals who are deaf or nonverbal in different areas of social interaction. Existing tools mainly focus on ...

Purpose: Generative artificial intelligence (GenAI), especially Large Language Model (LLM)-based chatbots such as ChatGPT, has reshaped students’ learning and engagement in higher education. Yet, ...