Deep Learning

Building a Fusion Model of Transformer and Wavelet Transform for Univariate Time Series Prediction (Case Study + Source Code)

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Building a Fusion Model of Transformer and Wavelet Transform for Univariate Time Series Prediction (Case Study + Source Code)

This is my423rd original article. Introduction “Data Forum” focuses on Python as the core, vertical to the data science field, specializing in (click 👉) Python programming development | data collection | data analysis | data visualization | feature engineering | machine learning | time series data | deep learning | artificial intelligence and other technology … Read more

Research Progress on Single Object Tracking Algorithms Based on Deep Learning

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Research Progress on Single Object Tracking Algorithms Based on Deep Learning

Banner Figure 1: Cover image of the 8th issue of “Liquid Crystal and Display” in 2025 Abstract Single object tracking is one of the important tasks in computer vision, aiming to accurately locate targets in video sequences. Due to its wide applications in autonomous driving, drone following, and intelligent security, it has become a research … Read more

Research Achievements from the School of Computer Science and Information Engineering at Hefei University of Technology Published in the Top Chinese Journal ‘Science China: Information Sciences’

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Research Achievements from the School of Computer Science and Information Engineering at Hefei University of Technology Published in the Top Chinese Journal 'Science China: Information Sciences'

Deep neural networks exhibit exceptional performance in visual classification tasks; however, their security faces significant challenges, particularly as the output results of classifiers are susceptible to malicious manipulation through adversarial attacks. To address this issue, adversarial training has rapidly developed as an effective defense mechanism. However, existing adversarial training methods predominantly rely on white-box defense … Read more

Detailed Steps for Fine-Tuning Large Models with LoRA

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Detailed Steps for Fine-Tuning Large Models with LoRA

📚 Fine-Tuning Series Articles Understanding the Development and Evolution of Fine-Tuning Technology Estimated reading time: 5 minutes With the widespread application of large-scale Transformer models (such as GPT, LLaMA, ViT), the computational and storage costs of fine-tuning large models have become limiting factors. LoRA, as a Parameter-Efficient Fine-Tuning (PEFT) technique, effectively reduces resource consumption by … Read more

Optimal Transport (OT) Algorithms in Python: Comprehensive Coverage from Theory to Application

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Optimal Transport (OT) Algorithms in Python: Comprehensive Coverage from Theory to Application

Optimal Transport (OT) Algorithms in Python: Comprehensive Coverage from Theory to Application The optimal transport algorithm is becoming a new cornerstone in the field of machine learning, from image matching to gene alignment. In today’s artificial intelligence landscape, the theory of Optimal Transport (OT) is quietly sparking an algorithmic revolution. From image matching in computer … Read more

Artificial Intelligence and Robotics: The New Business of Silicon Valley

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Artificial Intelligence and Robotics: The New Business of Silicon Valley

Author: John Markoff, Source: Today’s Headlines (ID: headline_today) For over a decade, Silicon Valley’s tech investors and entrepreneurs have been obsessed with social media and mobile apps, which help people find new friends, hail rides home, or crowdsource reviews for a product or movie. Today, Silicon Valley has found its next new inflection point. And … Read more

Practical PCB Defect Detection Using YOLOv11

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Practical PCB Defect Detection Using YOLOv11

Abstract With the continuous development of electronic products, PCBs (Printed Circuit Boards) are crucial components, and quality issues directly affect product performance and reliability. Traditional PCB defect detection methods suffer from high dependency on manual labor and low detection efficiency. Therefore, this article proposes a PCB defect detection method based on YOLOv11. By introducing the … Read more

Seven Major Trends in the Future of the NPU Chip Market

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Seven Major Trends in the Future of the NPU Chip Market

This article is compiled by Semiconductor Industry Insight (ID: ICVIEWS) from verifiedmarketreports The NPU is becoming an important component of high-performance intelligent network architectures. The Network Processing Unit (NPU) is a specialized programmable chip designed for packet detection, forwarding, quality of service (QoS) and the growing demand for AI driven inference, and has evolved into … Read more

Your Exclusive Cyber Fingerprint: Wi-Fi Can ‘See’ You

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Your Exclusive Cyber Fingerprint: Wi-Fi Can 'See' You

Wi-Fi as an Invisible Eye Written by | Dongdian TechnologyAuthor | Li PenghuiLayout | Winnie Estimated reading time: 3 minutes Cover image source: Ann on Unsplash Wi-Fi may not only be used for internet access; it can also “recognize” you. A study from Sapienza University of Rome shows that every person’s body uniquely interferes with … Read more

Innovative Paths of Huawei NPU and Google TPU Chips from a Patent Perspective

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Innovative Paths of Huawei NPU and Google TPU Chips from a Patent Perspective

With the rapid development of algorithms such as deep learning, large models, and generative artificial intelligence, the advancement of artificial intelligence has placed higher demands on chip computing power, leading to the emergence of AI-specific chips that meet these higher computing requirements. In February 2025, Huawei launched a groundbreaking product called the “Ascend DeepSeek Large … Read more