Follow 👆 the public account, reply "python" to receive the beginner's tutorial! Source from the internet, will delete if infringed. 1. Introduction to Python 1. Why Learn Python? [Details on how to receive at the end of the article!!] [Details on how to receive at the end of the article!!] Before learning Python, don’t worry … Read more
Follow 👆 the public account, reply with 'python' to get the zero-based tutorial! Source from the internet, please delete if infringing. 1. Introduction to Python 1. Why Learn Python? [Details on how to obtain are at the end of the article!!] [Details on how to obtain are at the end of the article!!] Before learning … Read more
One Background Introduction Human perception of the physical world has evolved from subjective feelings to sensors and then to sensor networks, as shown in Figure 1. As sensors become smaller and data collection becomes more widespread, a prominent issue has also emerged: the high deployment cost of sensing systems. Especially as the sensing range and … Read more
Introduction LoRA (Low-Rank Adaptation of Large Language Models) is a very practical fine-tuning framework for large models. Before the emergence of LoRA, I used to manually modify parameters, optimizers, or layer counts to “refine” models, which was extremely blind. However, the LoRA technique allows for quick fine-tuning of parameters. If the results after LoRA fine-tuning … Read more
Disclaimer All works indicated as “Source: XXX (not from Jizhi Shutong)” on this public account are reprinted from other media; copyright belongs to the original author. If there is any infringement, please contact us for deletion. Thank you. Crack detection, especially in the domain of pavement images, faces significant challenges in the field of computer … Read more
Recently, NVIDIA’s market value increased by 5.2%, closing at $3.019 trillion, surpassing Apple to become the second largest company by market value in the US stock market, second only to Microsoft. In today’s technology landscape, GPUs have become one of the most important infrastructures driving the development of artificial intelligence, deep learning, and high-performance computing. … 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
Artificial intelligence consists of three elements: algorithms, computation, and data. Algorithms are the core of AI implementation, while computation and data serve as the foundation. In terms of algorithms, they can mainly be divided into engineering methods and simulation methods. The engineering method employs traditional programming techniques to improve algorithm performance using extensive data processing … Read more
The current mainstream AI chips can be mainly divided into three categories: GPU, FPGA, and ASIC. Both GPU and FPGA are relatively mature chip architectures and belong to general-purpose chips. ASIC is a chip customized for specific AI scenarios. The industry has confirmed that CPU is not suitable for AI computing, but is still indispensable … Read more
Banner Promotion Writtenby Research Team Introduction Recently, Professor Yi Lilin’s team from the Key Laboratory of Regional Optical Fiber Communication Networks and New Optical Communication Systems at Shanghai Jiao Tong University proposed a Learnable Digital Signal Processing (LDSP) technology for high-speed optical fiber communication systems. This technology treats traditional Digital Signal Processing (DSP) modules as … Read more