Introduction:Embedded artificial intelligence is a fascinating concept.Previously, I often heard students preparing for jobs or graduate school ask which has a better future: embedded systems or artificial intelligence?It turns out that adults want a more promising future, leading to the emergence of embedded artificial intelligence.This article will briefly discuss embedded artificial intelligence. Author: Mu Yang … Read more
Source:Radar Communication Electronic Warfare Author: Zhou Libo Artificial intelligence is redefining decision-making and response capabilities, creating an environment where whoever possesses artificial intelligence holds global influence. Countries and regions are deploying intelligent machines and other cognitive attack capabilities utilizing artificial intelligence in an attempt to enhance their global influence at the onset of a new … Read more
Tiny Machine Learning (TinyML) has gained significant attention due to its potential to enable intelligent applications on resource-constrained devices. This review provides an in-depth analysis of the advancements in efficient neural networks and the deployment methods of deep learning models for TinyML applications on ultra-low-power microcontrollers (MCUs). It first introduces neural networks along with their … Read more
AI chips can be categorized based on their application scenarios into cloud AI training and inference, edge AI inference, and terminal AI inference. In our article on the Top 10 Domestic AI Chips, we listed the cloud AI training and inference chips from 10 domestic AI chip companies. This article will focus on edge and … Read more
Every time a new industry term emerges, we media professionals face the challenge of understanding what a company aims to achieve, especially when they use these terms to fulfill their marketing goals. A recently popular term is Edge Artificial Intelligence (AI), or Edge AI. Due to the rapid development of the Internet of Things (IoT) … Read more
Recent advancements in artificial intelligence (AI), edge computing, and the adoption of Internet of Things (IoT) devices have converged to create opportunities for edge AI. This has opened new possibilities for edge AI that were previously unimaginable—from assisting radiologists in identifying diseases, to driving cars on highways, to helping us pollinate plants. The concept of … Read more
If you often pay attention to articles about “edge computing”, you will find that it has a brother called “fog computing”. Most published articles explain these two terms in a similar way: they both refer to computing that takes place at the edge of the network, closer to the native data (physical sensing), relative to … Read more
Source: Deephub Imba This article is about 4000 words long, and it is recommended to read in 6 minutes. In this article, we will explain the basic concepts of LoRA itself and then introduce some variants that improve the functionality of LoRA in different ways. LoRA can be said to be a major breakthrough for … Read more
©PaperWeekly Original · Author | Su Jianlin Unit | Dark Side of the Moon Research Direction | NLP, Neural Networks LoRA (Low-Rank Adaptation) is one of the parameter-efficient fine-tuning methods for current LLMs. Previously, we briefly discussed it in “LoRA from a Gradient Perspective: Introduction, Analysis, Speculation, and Promotion”. In this article, we will learn … Read more
Conference Invitation Artificial Intelligence (AI) Chip Design Seminar (July 25, Beijing National Convention Center) A domestic startup specializing in AI FPGA acceleration algorithms, Deep Insight Technology, was acquired by the international giant Xilinx just two days ago, causing quite a stir in the industry. Currently, there are quite a number of companies in China working … Read more