Edge Computer Vision Why Choose Edge Computing? Embedded devices are becoming increasingly intelligent, with many machine learning and computer vision tasks being pushed to edge devices. Running AI models on such devices, while challenging, offers numerous advantages: Reduced Latency: Processing data on-device eliminates the wait time for transmitting data to the cloud or a central … Read more
Edge AI video terminals implement complex video data analysis functions in various edge environments (such as factories, power plants, and parks). They do not rely on cloud servers and can process video streams from multiple cameras in real-time, performing tasks such as object recognition and behavior analysis. Below, I will explain step by step from … Read more
There is no doubt about Sony’s dominant position in the sensor industry, and the company has never relaxed its efforts, accelerating its development of new sensor technologies. Recently, Sony announced the release of sensors with built-in artificial intelligence, marking the world’s first image sensor integrated with AI. This sensor features a 12.3-megapixel 1/2.3-inch back-illuminated design, … Read more
1. EAIS Positioning EAIS (Edge AI Server) is a series of software-defined hardware edge AI computing platform products jointly developed by OPEN AI LAB and industry partners, consisting of three main components: 1) High-performance embedded hardware platform (compatible with various computing power forms from 1-16T); 2) AIoT application development framework Tengine; 3) Business-level algorithmic application … Read more
The leap in computing power for edge AI fundamentally reconstructs the interaction paradigm between humans, machines, and the physical world.Author | Yunpeng Editor | Mo YingOne of the core values brought by the popularity of DeepSeek to the global AI industry is the significant acceleration of AI application adoption, especially in the domestic market, where … Read more
Click the card below to follow the “LiteAI” official account Hi, everyone, I am Lite. Recently, I shared the Efficient Large Model Full-Stack Technology from Part 1 to Part 19, which includes content on large model quantization and fine-tuning, efficient inference for LLMs, quantum computing, generative AI acceleration, and more. The content links are as … Read more
· Desktop Robot Development Practical Course· Exploring the Application Potential of Edge AI and Large Language Models 01 Course Background With the acceleration of digital transformation across various industries, edge AI and cloud-based large model technologies are leading a new wave of innovation in smart devices. This year, the Ministry of Industry and Information Technology … Read more
Artificial Intelligence (AI) has become a transformative force across multiple domains, and the defense sector is no exception. However, there is a subset of AI that is particularly groundbreaking in this regard: Edge AI. By processing data locally on devices, Edge AI can provide faster responses, enhanced security, and more robust operations even in disconnected … Read more
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
Source: ZHUAN ZHI This article is approximately 1200 words long and is recommended for a 5-minute read. The tutorial on "Edge Artificial Intelligence" from the IT University of Copenhagen is worth noting! From June 17 to 21, 2024, one of the top events in the field of computer vision, the International Conference on Computer Vision … Read more