Abstract: In response to the computing power processing needs of intelligent applications, Multi-access Edge Computing (MEC) provides computing services at the network edge. Unmanned Aerial Vehicles (UAVs) have good maneuverability and can serve as temporary aerial edge nodes in MEC to provide edge services to ground users. However, the MEC environment is complex and dynamically … Read more
🫱Click here to join the group chat for 16 subfields (🔥Recommended)🫲 Deepseek has open-sourced three code repositories today, focusing on “Optimizing Parallel Strategies”. Among them, DualPipe is the most popular, and we found that the development team of this algorithm includes Liang Wenfeng himself. The DualPipe dual pipeline parallel algorithm has already been used in … Read more
In recent years, the artificial intelligence industry has developed rapidly. McKinsey predicts that AI could contribute 1.2 percentage points to global GDP growth over the next decade, adding $13 trillion in value to global economic activity, comparable to the introduction of transformative technologies like the steam engine during the first Industrial Revolution. From an industry … Read more
Introduction With the emergence of large model technologies represented by ChatGPT and Sora, the use of Transformer-based models for accurate pneumonia diagnosis has become a new research hotspot. The complex shapes, uneven gray distribution, and indistinct boundaries with surrounding tissues of lung X-ray images hinder the model’s ability to adequately extract features from lesions, thus … Read more
In this tutorial, you will learn how to combine OpenCV’s Deep Neural Network (DNN) module with NVIDIA GPU, CUDA, and cuDNN to boost inference speed by 211-1549%. Back in August 2017, I published my first tutorial on image classification using OpenCV’s DNN module. Readers of PyImageSearch loved the convenience and ease of use of OpenCV’s … Read more
1. Introduction Multi-Agent Reinforcement Learning (MARL) is an important branch of reinforcement learning that extends the traditional single-agent reinforcement learning concept to multi-agent environments. In MARL, multiple agents learn optimal strategies through interactions with the environment and other agents to maximize cumulative rewards in cooperative or competitive scenarios. Adversarial interactions among agents in MAgent (mixed … Read more
Source: Fresh Date Classroom Original Author: Little Date Jun This article provides a detailed introduction to AI-related concepts. What Exactly Is AI? AI is short for artificial intelligence. Artificial, many students only recognize half of the word, thinking it is some adjective related to art. However, this is not the case; artificial means “man-made” or … Read more
Column Guide INTRODUCTION From September 4 to 6, 2023, the China International Intelligent Industry Expo (referred to as the “2023 Intelligent Expo”) was successfully held in Chongqing. Chongqing University, as the representative of higher education in the regional cooperation exhibition area, showcased 58 technological achievements in the largest exhibition hall of the university, covering multiple … Read more
Science and Technology Construction Project Project Batch: 2019 First Batch Project Number: 201901134060 Project Type: Teaching Content and Curriculum System Reform Project Project Implementation Background To become a talent with certain professional application abilities, one needs to master professional knowledge from multiple related courses, and this knowledge needs to be integrated with specific field practices … Read more
Click the “Visual Learning for Beginners” above, and choose to add “Star” or “Pin“ Important content delivered first-hand Introduction: The extraction of edges and contours is a very tricky task, as details may be obscured by overly strong image lines. Texture itself is a weak edge distribution pattern, and hierarchical representation is a commonly used … Read more