The Internet of Things (IoT) has pushed the edge computing theory, which has been dormant for decades, to the forefront of the market. It is the neuron theory that brings CPUs into the NPU era, empowering local learning capabilities, computing power, and decision-making intelligence, forming a new domain of edge intelligence. Edge computing is an … Read more
In recent years, a main theme in the AI market has been edge AI—or more specifically, edge-side AI, and even further, TinyML.Competitors in this market include not only traditional MCU/MPU suppliers and IP providers but also many startups focused on edge AI chips. The advantages of edge AI technology have been discussed in many articles, … Read more
Image source: putilov_denis/stock.adobe.com Machine Learning (ML) is a very good tool for solving problems involving pattern recognition. ML algorithms can transform chaotic raw data into usable signals. The basic process is to generate a model based on data, and then use the model to predict outputs, achieving learning, reasoning, and decision-making without human interaction. However, … Read more
To continuously improve various features in next-generation devices, wearable and hearable devices rely on memory. Memory is a key design factor for implementing advanced devices… Although wearable and hearable technologies may seem like extensions of the previous generation of handheld devices, the innovative features required to enhance their value, user experience, and functionality significantly increase … 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
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
Real-time control systems are a key driving force in the development of modern systems, with embedded processing playing an indispensable role at their core. The core task of these systems is to perform precise sensing of the physical world; analog signals from the motor control system, such as current, voltage waveforms, and position sensors, are … Read more
Edge AI is an effective supplement to cloud computing power and a necessary tool for the implementation of AI applications. It has significant long-term growth potential and is currently in the early stages of an explosion. As the scope of AI applications expands, the overall demand for computing power is increasing, and personalized needs for … Read more