This article is excerpted from “2022 Research Framework for Domestic Server CPUs“. In the post-Moore’s Law era, the performance benefits brought by the improvement of process technology are already very limited. The Dennard Scaling law constraints have led to a sharp increase in chip power consumption, and the cost of transistors has risen instead of … Read more
1. Overview With the surge of artificial intelligence and the widespread application of AI algorithms, deep learning has become a key focus of current AI research. In the field of autonomous driving, environmental perception, sensor fusion, and control decision-making all involve deep learning to some extent. The performance of autonomous driving is directly related to … Read more
Source: Semiconductor Industry Review Original Author: Feng Ning In the layout of artificial intelligence computing architecture, the collaborative working model of CPUs and acceleration chips has become a typical AI deployment solution. The CPU plays the role of providing basic computing power, while the acceleration chips are responsible for enhancing computing performance to assist algorithms … Read more
The following content is organized from Zhihu: Author: Wang Peng Link:https://www.zhihu.com/question/285202403/answer/444253962First, let me answer the question, (1) There is a significant difference in performance compared to traditional chips, such as CPUs and GPUs. When executing AI algorithms, they are faster and more energy-efficient. (2) There is no difference in manufacturing processes; everyone is the same. … Read more
This article is reproduced from the Jishu Community Jishu Column: Arm Technology Blog Source: A Detailed Explanation of Why Developers Are Migrating to Arm Platforms Developers understand that building applications that can scale efficiently while controlling costs is crucial. Cloud technology is evolving rapidly, and the underlying technologies are also continuously developing. In recent years, … Read more
Source: Wangcai Chip Original Author: Wangcai Chip – Xiaochao ▲ General algorithms and architectures for efficient on-chip learning based on memristor storage-compute integration Integrated memory-compute on-chip learning can effectively protect user privacy and data while achieving lower latency and reduced energy consumption. This chip refers to a bionic brain processing method, enabling rapid “on-chip training” … Read more
Source: Semiconductor Industry Overview Original Author: Feng Ning Traditional chip architectures face severe challenges such as the “memory wall,” “power wall,” and “compute wall.” What are they? What is a unified memory-compute chip? How does it solve these problems? In recent years, with the explosive growth of AI application scenarios, the demand for computational power … Read more
Click the title below “Guo Xin Nan Fang” for quick attention Source: Semiconductor Industry Observation (ID: icbank) Computer chips are the engine room of the digital economy, and their ever-growing capabilities are driving the development of technologies such as artificial intelligence, which are expected to transform multiple industries. Their critical role was highlighted when the … Read more
Introduction: In China’s “Artificial Intelligence Standardization White Paper (2018)”, a definition of artificial intelligence is given: “Artificial intelligence is the theory, methods, technologies, and application systems that utilize digital computers or machines controlled by digital computers to simulate, extend, and enhance human intelligence, perceive the environment, acquire knowledge, and use knowledge to achieve optimal results.”“ … Read more
Introduction In recent years, artificial intelligence (AI) large language models have made rapid advancements, and the impact of AI on human society has expanded to an unprecedented extent. This article discusses some immature insights into the AI revolution brought by large language models from two physics-related perspectives—information and time scales. It first reviews the basic … Read more