Introduction to AIOT Platform Products: Let’s Learn Together

Introduction to AIOT Platform Products: Let's Learn Together

The AIOT platform integrates technologies such as big data, cloud computing, and artificial intelligence to provide intelligent management and services for IoT devices. It supports the connection of massive devices, achieving interconnectivity between them, and through data analysis and machine learning, it offers users intelligent decision support and optimization solutions. 1. Demonstration Box Display 2. … Read more

A History of Artificial Intelligence Development: From ‘Robots’ to ‘Human-Machines’

A History of Artificial Intelligence Development: From 'Robots' to 'Human-Machines'

As the era of intelligence arrives, robots are increasingly participating in our lives and work. The popularity of movies like “Big Hero 6” and “Avengers: Age of Ultron”, which feature artificial intelligence robots, has sparked interest and reflection among many moviegoers and professionals on artificial intelligence. When was the intelligent robot invented? What are the … Read more

Encyclopedia of Robotics Technology – Robot Handbook

Encyclopedia of Robotics Technology - Robot Handbook

The rapid development of the field of robotics and the continuous emergence of new research areas have led me to recommend this set of “Robot Handbook, 2nd Edition” consists of three volumes, covering the basics of robotics, robotics technology, and robotics applications.This book gathers the collective wisdom of numerous active scientists and researchers, fully reflecting … Read more

Comprehensive Summary of Loss Functions

Author: mingo_敏 Editor: Deep Learning Natural Language Processing Link:https://blog.csdn.net/shanglianlm/article/details/85019768 Many of the loss functions in TensorFlow and PyTorch are similar; here we take PyTorch as an example. 19 Types of Loss Functions 1. L1 Loss L1Loss Calculates the absolute difference between output and target. torch.nn.L1Loss(reduction='mean') Parameters: reduction – three values: none: no reduction; mean: returns … Read more

Analysis Report on DeepSeek-V2 MLA (Multi-Head Latent Attention) Technology

Analysis Report on DeepSeek-V2 MLA (Multi-Head Latent Attention) Technology

1. Core Objective MLA (Multi-Head Latent Attention) is an innovative attention mechanism designed to address the inference efficiency issues caused by the excessively large KV cache in traditional Transformer models. Its core objective is to significantly reduce memory usage (KV cache) during inference through low-rank compression and decoupled positional encoding, while maintaining or even improving … Read more

Analysis Techniques for Encrypted Malicious Traffic in Offensive and Defensive Confrontations

Analysis Techniques for Encrypted Malicious Traffic in Offensive and Defensive Confrontations

Abstract: With the continuous development of the internet and the increasing demand for security, encryption technology has become the preferred choice for ensuring traffic security. However, it has also led to a surge in encrypted malicious traffic. In the face of a complex and ever-changing network environment, the ability to quickly identify malicious traffic without … Read more

Mobile Edge Distributed Learning for Intelligent Communication

Mobile Edge Distributed Learning for Intelligent Communication

Table of Contents | 2023 Issue 6 Special Topic: AI-Based Wireless Communication Technology AI-Empowered Intelligent Surface-Assisted Communication Beam Prediction Interference-Resistant Technology for Intelligent Wireless Communication Aimed at Digital Twins Exploration of Knowledge-Enabled Inherent Intelligent Architecture in Wireless Networks Overview of Semantic Communication Systems for Extended Reality AI-Assisted Scalable Video Semantic Communication Systems End-to-End Service Framework … Read more

Energy-Efficient Strategies for Federated Learning in Mobile Edge Computing

Energy-Efficient Strategies for Federated Learning in Mobile Edge Computing

Content IntroductionAbstract:With the rapid development of fifth-generation network technology and the Internet of Things, the number of end-user devices and various applications is surging, resulting in a massive amount of data generated at the network edge. To efficiently process this data, innovative mobile edge computing frameworks have emerged to achieve low latency and efficient computing … Read more

Introduction to Python Image Processing – Histogram Processing of Color Images

Introduction to Python Image Processing - Histogram Processing of Color Images

Click the "Xiaobai Learns Vision" above, select "Star" or "Top" Important content delivered at the first time Introduction In yesterday’s article, we introduced histogram processing based on grayscale images and briefly mentioned histogram processing of color images, but did not discuss the best methods. Let’s start by importing all the necessary libraries! import numpy as … Read more

Implementing Neural Networks from Scratch in Python

Implementing Neural Networks from Scratch in Python

There is something that might surprise beginners:Neural network models are not complex!The term ‘neural network’ sounds impressive, but in reality, neural network algorithms are simpler than people think. This article is entirely prepared for beginners. We will understand the principles of neural networks by implementing a neural network from scratch using Python. The outline of … Read more