Autonomous driving is an important application of edge computing, requiring 100-1000 TOPS of Edge AI computing power, which has become an industry barrier due to its high performance and low power consumption. AI computing requires domains to optimize algorithms and data flow architectures. The Moore’s Law is nearing its limits; without the correct algorithms and … 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
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
In the rapidly evolving field of technology, the Internet of Things (IoT) and digital twin technology stand out as key innovations. The IoT and its interconnected network of devices, along with digital twins (virtual replicas of physical systems), are fundamentally transforming industries from manufacturing to urban planning. This article provides a comprehensive exploration of IoT … Read more
1. Background and Issues of the Research With the development of the Industrial Internet of Things, steel enterprises face numerous problems in system operation and maintenance. Issues include weak device perception capabilities, difficulties in processing high-frequency data, challenges in integrating multi-source and multi-dimensional data, and the presence of many information silos in the dimension of … Read more
The emergence of edge computing in the drilling field enables us to tackle complex challenges by combining IoT sensors, artificial intelligence, and self-learning models. By utilizing edge computing and analytics, we achieve real-time drilling analysis and develop analytical models using vast amounts of data. Original content from Oil Circle, WeChat account: oilsns Translated by | … Read more
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
Click the Blue Text to Follow Us In today’s wave of digital transformation, data has become one of the most valuable assets for enterprises. However, with the explosive growth of data volume, efficiently and securely governing this data has become a significant challenge for businesses. The integration of Artificial Intelligence (AI) and edge computing technology … Read more
1. Background Introduction With the rapid development of mobile communication technology and intelligent applications, the number of mobile devices and network data traffic has grown exponentially, placing a huge burden on the network and posing significant challenges in meeting user demands. Edge caching technology utilizes edge nodes to bring computing and storage resources closer to … Read more
The development of the Internet of Things and mobile internet technologies has led to an explosive growth of data at the network edge. The single computing resources based on the cloud computing model can no longer meet the requirements for real-time processing, security, and low energy consumption of big data. Against this backdrop, edge computing … Read more