Introduction The AI chips needed for the vast IoT market consist of three parts: cloud service provider chips, edge intelligence chips, and endpoint chips. This article focuses on the selection of edge intelligence chips, the key factors for selection, and application cases, as edge intelligence chips are the “backbone process” that empowers enterprise applications. They … Read more
Both AI technology professionals and experts in the healthcare industry hope to leverage AI technology to enhance the level and effectiveness of medical services and health management. However, an increasing number of AI technologies are adopting micro AI algorithms to achieve remote decision-making mechanisms, especially in applications involving smart wearable devices and digital health apps, … Read more
When most people think of artificial intelligence (AI), they usually envision applications that can generate new text, images, or voice content. Popular text applications like ChatGPT have quickly risen in the market, attracting over 1 million users in just a few days, and are widely adopted. Mobile users frequently utilize voice search features. What do … Read more
The widespread application of edge AI models is driving chip manufacturers to gradually adopt heterogeneous computing architectures, combining general-purpose processors with semi-custom AI accelerators to meet the demands of specific tasks. In an era where artificial intelligence and edge computing are increasingly integrated, chip manufacturers are facing new challenges, including how to efficiently and low-power … Read more
The following content is sourced from JuShi Security, reprinted from Unmanned Challenge Unmanned Aerial Vehicles (UAVs), commonly known as drones, face many challenges and applications that can be improved through Artificial Intelligence (AI), edge computing, and edge AI. AI “describes the workflow of machines that would require intelligence if performed by humans.” Recently, robots/drones have … Read more
Source: Edge Computing Community Original Author: Bian Xiaoyuan Edge AI enables devices to make faster and smarter decisions without needing to connect to the cloud or remote data centers. Edge AI is the implementation of artificial intelligence in edge computing environments, allowing computation to occur near where data is generated rather than in centralized cloud … Read more
Advanced Manufacturing Industry ยท Introduction On July 25, at the 2023 Caos Digital Ecology Conference, the “Annual Trend White Paper on the Development of China’s Industrial Internet Technology (2023)” was released, providing an analysis of the top ten trends in the industrial internet sector, including edge computing, industrial mechanism models, industrial big data, and digital … Read more
PleaseFollowThe Video Account Learn More About Smart Manufacturing Information In the past few years, there has been a surge in the construction and application of Industrial Internet of Things (IIoT) in both traditional industries and emerging fields. Industrial IoT solutions integrate machines, cloud computing, analytics, and personnel to enhance the efficiency and productivity of manufacturing … Read more
Edge computing integrates technologies from IT, CT, and OT fields, with MEC technology being a representative of the CT field, primarily addressing network connectivity issues. However, in addition to this, edge computing also involves technologies from the IT and OT domains, and MEC technology must work in conjunction with these technologies to enable the practical … Read more
This article provides an overview. Traditional manufacturing is facing severe challenges in digital transformation due to rising demand and industry technological upgrades. Especially after the pandemic, uncertainties in personnel movement and epidemic control have made equipment debugging and maintenance for system integrators and operational enterprises even more challenging. More and more factories and equipment require … Read more