Today, I would like to analyze the working principles of ADC. 1. Analog to Digital Conversion Analog to Digital Conversion serves as a conversion station for transforming analog signals into digital signals. Analog signals are susceptible to interference, are easily limited by other conditions during signal processing, and are difficult to store. Therefore, in practical … Read more
Deep learning dominates various fields and fundamentally changes human society. Efficiency is a key factor in democratizing deep learning and expanding its application scope. This has become increasingly important as Moore’s Law slows down and the pace of model size expansion accelerates. We need efficient algorithms and systems to help bridge this gap. In this … Read more
Source: Zhuangzhi This article introduces the thesis, recommended reading time 5 minutes. A new trend is to utilize learning paradigms on devices, bringing the end-to-end ML process closer to edge devices. Modern machine learning (ML) applications are often deployed in cloud environments to leverage the computing power of clusters. However, traditional cloud computing solutions cannot … Read more
Basic Working Principle of ADC Source: CSDN Blogger:xtmtm ADC ( analog to digital converter ) conversion process The basic conversion principle of ADC is divided into four processes: ① Anti-aliasing filter ( Anti-aliasing ), which can be understood as a low-pass filter ② Sample and hold circuit ( Sample and hold ) ③ Quantization ( … Read more
An Analog-to-Digital Converter (ADC) is primarily used to convert continuously transmitted analog signals into digital signals, facilitating rapid processing and analysis of transmitted information by digital systems (such as CPUs and MCUs). Generally speaking, the different quantization mechanisms of ADCs are one of the key factors determining the complexity and performance of ADC design, as … Read more
This article is reprinted from the Jishu Community. Jishu Column:SiRider S1 Chip Development Board Information Author:zhangxiaolong Hello everyone, this review focuses on a domestic chip (Dragon Eagle No. 1 siengine SE1000). The main focus is on its AI capabilities, written around the theme of “how to run a complete AI application on a development board.” … Read more
1. Introduction: The Wonderful Collision of C++ and Neural Networks In today’s technological wave, neural networks are undoubtedly a shining star, driving the field of artificial intelligence forward at an astonishing pace. From accurately identifying various objects in image recognition to enabling smooth human-computer dialogue in natural language processing, and assisting doctors in detecting disease … Read more
Click belowcard, follow the “LiteAI” public account Hi, everyone, I am Lite. I recently shared the first to nineteenth articles on efficient large model full-stack technology, including large model quantization and fine-tuning, efficient inference of LLMs, quantum computing, generative AI acceleration, etc. Here is the link: Efficient Large Model Full-Stack Technology (Nineteen): Efficient Training and … Read more