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
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
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
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
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
Abstract Printed Circuit Boards (PCBs) play a crucial role in electronic devices, and defect detection during their manufacturing process is a key step in ensuring product quality. In recent years, deep learning technologies have made significant progress in object detection tasks, particularly with the YOLO (You Only Look Once) series of algorithms, which excel in … Read more
Title:A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classification Paper Link:https://doi.org/10.1016/j.dsp.2025.105070 Collaborative CNN-Transformer Architecture Design A synergistic CNN-Transformer network is proposed, combining the local spatial feature extraction capability of CNNs with the global modeling capability of Transformers, effectively achieving joint modeling of spectral and spatial information in hyperspectral images (HSI). Two-Branch Feature … Read more
ScienceShare ｜ Scientific Sharing Real-time Freshness Monitoring of Fruits and Vegetables Integrating 3D-Printed Alginate-Based Colorimetric Sensors with Deep Convolutional Neural Networks Introduction On July 26, 2025, Professor Zhang Min’s team from Jiangnan University published a research paper titled “Real-time freshness monitoring of fruits and vegetables integrating 3D-printed alginate-based colorimetric sensors with deep convolutional neural networks” … Read more
Author | Ben Dickson Translator | Daxiaofei Editor | Chen Si The rise of artificial intelligence has triggered a massive demand for GPUs in the market, but the application of GPUs in AI scenarios faces issues such as short lifespan and high usage costs. Field Programmable Gate Arrays (FPGAs), which are customizable hardware processors, may … Read more
Selected fromarXiv Translated by Machine Heart Contributors:Lu, Siyuan Recently, researchers from DeepMind and the CoMPLEX group at University College London proposed a Relational Recurrent Neural Network that utilizes a novel memory module, RMC, to address the challenges of relational reasoning tasks that standard memory architectures struggle to perform. This method has made significant advancements in … Read more