Click on the arrow “China Electroplating Network” , follow us There are four main methods of electroplating in circuit boards: finger-type electroplating, through-hole electroplating, roller-type selective plating, and brush plating. Here is a brief introduction: 1 Finger-type Electroplating This method requires rare metals to be plated on the edge connectors, protruding contacts, or gold fingers … Read more
When performing PCB soldering, we need to strictly control the entire soldering process to ensure the quality of the soldering. Below are the key considerations for PCB soldering. 1. After receiving the bare PCB, first conduct a visual inspection to check for issues such as short circuits or open circuits. Then familiarize yourself with the … Read more
Click ↑ for automotive repair cases and follow for updates to obtain the complete timing guide Highly versatile, applicable to all circuit boards! 1. How to repair circuit boards without schematics? 1. You must have a clear mental image. You need to thoroughly understand the principles of some typical circuits and be very familiar with … Read more
InXilinx FPGA, the Site is the smallest configurable unit in the physical layout of the chip, representing the specific location of hardware resources. 1. Definition and Function of Site Physical Level: A Site is the smallest independently configurable unit on an FPGA chip, with each Site corresponding to a fixed physical location, containing specific resources … Read more
Introduction The explosive growth of artificial intelligence is profoundly reshaping the semiconductor industry landscape, and the wave of democratization of edge AI has created an urgent demand for dedicated computing architectures. As an accelerator specifically optimized for neural networks, the NPU is becoming the core computing power for terminals such as smartphones, AI PCs, and … Read more
This article evaluates the performance of MindSpore and PyTorch based on Huawei’s Ascend Neural Processing Unit (Ascend NPU). Huawei’s Ascend NPU isa chip designed specifically for accelerating neural network computations, which not onlysupports the self-developed framework MindSpore but alsohas been adapted for PyTorch. However, there is currentlya lack of comparative evaluation studies on MindSpore and … Read more
Overview The official PyTorch plugin provided by Huawei: <span>torch-npu</span> enables running PyTorch code on Huawei Ascend servers, facilitating AI development—training and inference—based on the open-source PyTorch ecosystem. Although Huawei has its own machine learning development framework: MindSpore, similar frameworks exist from companies like Baidu and Alibaba, such as Baidu’s PaddlePaddle. Essentially, these frameworks are directly … Read more
Objective of This Article This article will detail how to configure the RKNN Docker environment on an Android development board equipped with the RK3588 chip in a Windows 11 system environment, and how to run the YOLOv5 object detection model accelerated by NPU on the development board using the adb tool. Development Environment Description Host … Read more
The Ascend DeepSeek integrated machine is an AI solution based on self-developed Ascend AI chips (such as Ascend 910B and 910C) deeply integrated with the DeepSeek large model, aimed at providing a high-performance, low-cost, domestically produced AI computing power platform. This article provides a detailed analysis from various dimensions including the technology, products, architecture, specifications, … Read more
Qwen2.5-VL:the new flagship vision-language model of Qwen and also a significant leap from the previous Qwen2-VL. Axera Tongyuan:an AI computing processor based on operator as the atomic instruction set. It efficiently supports mixed precision algorithm design and Transformers, providing a strong foundation for large models (DeepSeek, Qwen, MiniCPM, etc.) in “cloud-edge-end” AI applications. https://www.axera-tech.com/Skill/166.html TLDR … Read more