This article is from a community submission, Author: Wang Yucheng, ML&IoT Google Developers Expert, Chief Engineer at Wenzhou University Smart Lock Research Institute.Learn more: https://blog.csdn.net/wfing In last week’s community sharing section, we introduced Getting Started with TinyML (Part 1), and this week we will continue our learning. Hello World — The Place Where Dreams Begin … Read more
1. Introduction Voice recognition technology (Automatic Speech Recognition) is a technology that converts human speech into text. For example, voice assistants like “Hey, Siri” and “Hi Alexa” are applications of voice recognition technology. Through voice assistants, users can directly control home appliances such as air conditioners, TVs, curtains, and lights using their voice, making device … Read more
LLM (Large Language Model) Definition: Large Language Models are AI models designed to understand and generate natural language text. They are typically based on deep learning techniques and trained on vast amounts of text data. Examples: GPT-3, GPT-4 (provided by OpenAI) BERT (provided by Google) T5 (provided by Google) Application Scenarios: Text generation Translation Sentiment … Read more
Click the card below to follow the “LiteAI” public account Hi, everyone, I am Lite. Recently, I shared the Efficient Large Model Full-Stack Technology Articles One to Nineteen, covering topics like large model quantization and fine-tuning, efficient inference for LLMs, quantum computing, and generative AI acceleration. The content links are as follows: Efficient Large Model … Read more
Click the blue text above Follow Us! At 6:42 AM, the alarm clock went off. You look good, thanks to the sleep cycle monitor on your nightstand, which uses built-in edge Artificial Intelligence (AI) and radar technology to monitor your heart rate and breathing, helping you optimize the precise wake-up time. As you walk to … Read more
Edge Computing Applications We know that the concept of edge computing resonates with cloud computing centers. Especially after the widespread application of the concepts of 5G and the Internet of Things in the business scenarios of Industrial Internet, the number of connected smart terminals and the data that needs to be processed are increasing, leading … Read more
According to a report from Electronic Enthusiasts (by Li Wanwan), with the explosive growth of IoT devices, massive data will accumulate at the edge, and edge AI is entering a booming development phase. Gartner predicts that by 2023, more than 50% of large enterprises will deploy at least six edge computing applications for IoT or … Read more
Electronic Enthusiast Network reports (by Li Wanwan) that Edge AI is the deployment of AI algorithms on edge devices, where computing occurs close to the user and data at the network edge, rather than centralized in cloud computing facilities or private data centers. Edge AI relies on edge computing power and algorithms; the computing power … Read more
Author | Li Xiangjing Editor | Wu Chunqiu Source | Zhidin Technology 5G and the Internet of Things (IoT) integration has opened a new chapter for telecom operators. With the growth of 5G deployment, operators are entering a development phase; however, how they will leverage 5G to shape their business models remains a question. Currently, … Read more
This article is reproduced from: Electronic Products World Author: Amit Gattan, Senior Marketing Director of Micron Embedded Products Divisioni Abstract Micron, a memory manufacturer, introduces the changes that edge AI brings to machine vision and applications in smart retail and smart factories, as well as Micron’s memory solutions. 1. AI Opportunities in Smart Retail and … Read more