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
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
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