Deep Learning

Practical Guide to Achieving 10x Inference Speed with YOLOv5: Model Deployment Using TensorRT on Jetson NX

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Practical Guide to Achieving 10x Inference Speed with YOLOv5: Model Deployment Using TensorRT on Jetson NX

Follow our public account to discover the beauty of CV technology This article is adapted from the Frontier of Aerial Robotics, authored by Liang Jiachen, an engineer at Westlake University. With the continuous improvement of computing power and the growth of data, deep learning algorithms have made significant advancements. These algorithms are increasingly applied across … Read more

License Plate Recognition Based on MATLAB GUI Convolutional Neural Network (CNN) with Source Code

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License Plate Recognition Based on MATLAB GUI Convolutional Neural Network (CNN) with Source Code

✅ Author Introduction: A MATLAB simulation developer passionate about research, improving both mindset and technology. For MATLAB project collaboration, feel free to contact me. 🏆 How to Obtain Code: QQ:912100926 ⛳️ Motto: A journey of a hundred miles begins with a single step. ## ⛄ 1. Introduction to CNN License Plate Recognition 1 License Plate … Read more

Essential Tips for LoRA Fine-Tuning

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Essential Tips for LoRA Fine-Tuning

As mentioned in previous articles, LoRA fine-tuning primarily targets the weight matrices of linear layers, such as the Q, K, and V projection matrices in the attention mechanism, as well as the weight matrices in the feedforward network (FFN). So, when fine-tuning a model with a Transformer architecture using LoRA, which weight matrices should we … Read more

Academician Gao Wen, Chairman of GCC SAC: Building a National Highway for AI Computing Power to Make It as Convenient as Electricity

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Academician Gao Wen, Chairman of GCC SAC: Building a National Highway for AI Computing Power to Make It as Convenient as Electricity

Gao Wen, a representative of the National People’s Congress, an academician of the Chinese Academy of Engineering, and the director of the Pengcheng National Laboratory, mentioned in an interview that the construction of the computing power network includes three core elements: large-scale core computing power, super optical networks, and computing power scheduling systems. The ideal … Read more

Development of Artificial Intelligence and Intelligent Computing

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Development of Artificial Intelligence and Intelligent Computing

“IT有得聊” is a professional information and service platform under the Machinery Industry Press, dedicated to helping readers master more professional and practical knowledge and skills in the broad field of IT, quickly enhancing workplace competitiveness. Click the blue WeChat name to quickly follow us! On the morning of April 26, after the closing of the … Read more

HBM: Spatial-Temporal Graph Convolutional Networks for Alzheimer’s Diagnosis Using Brain Functional Connectivity

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HBM: Spatial-Temporal Graph Convolutional Networks for Alzheimer's Diagnosis Using Brain Functional Connectivity

Written by︱Dan Xiaocai, Cao Jun, Zhao Yifan Editor︱Wang Sizhen Edited by︱Yang Binwei Alzheimer’s disease (Alzheimer’s disease, AD) is the most common form of dementia, leading to memory loss and cognitive impairment. According to the World Health Organization, over 55 million people are currently diagnosed with some form of dementia[1, 2]. The increasing global aging population … Read more

AI Ultra Transformation: Understanding How NPU Accelerates AI Performance

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AI Ultra Transformation: Understanding How NPU Accelerates AI Performance

Click the 🔺 public account above to follow me ✅ Computing power has become a significant bottleneck in the development of AI. To overcome this bottleneck, GPUs and NPUs, as the two main forces, are addressing this issue in different ways. So, how does the NPU accelerate AI from a hardware perspective? What are the … Read more

How Edge AI Video Recognition Terminals Are Constructed and Operate

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How Edge AI Video Recognition Terminals Are Constructed and Operate

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

The FPGA vs. ASIC Battle: A Tough Fight Over Cost, Power Consumption, and Performance

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The FPGA vs. ASIC Battle: A Tough Fight Over Cost, Power Consumption, and Performance

【Join the GGAI Intelligent Automotive Industry Group (Autonomous Driving Industry Group 3, Intelligent Connected Cockpit Group 2, Intelligent Commercial Vehicle Industry Group), WeChat: 15818636852. Limited to intelligent connected software and hardware companies, automotive parts, and OEM manufacturers】 On June 4, 2018, domestic ADAS company Maxieye Intelligent Driving Technology announced the launch of its second-generation pre-installed … Read more

Forward: RK3399 Passes First Round AI Chip Evaluation by AIIA

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Forward: RK3399 Passes First Round AI Chip Evaluation by AIIA

According to official news from Rockchip: On March 6, the international forum “AI in 5G – Leading the New Era Forum” was held in Shenzhen, co-hosted by the International Telecommunication Union and the China Academy of Information and Communications Technology, with the Artificial Intelligence Industry Development Alliance (AIIA) and ZTE Corporation as the organizers. At … Read more