In the field of industrial automation, the role of a PLC programmer is far more complex and critical than it appears on the surface. They are not just code writers, but also architects of industrial control systems, experts in fault diagnosis, and specialists in efficiency optimization. This article will take you into the real working … Read more
Open-Source Inference Engines Currently, the mainstream and active open-source TinyML inference engines with over 1k stars on GitHub provide core support for implementing neural network model inference on MCUs. Arm CMSIS-NN/DSP (CMSIS-6) A function library designed specifically for Arm Cortex-M cores, providing efficient neural network (NN) and digital signal processing (DSP) core functions. https://github.com/ARM-software/CMSIS_6 Google … Read more
Abstract—The evolution from 5G to 6G networks highlights the strong demand for Machine Learning (ML), particularly for Deep Learning (DL) models, which have been widely applied in mobile networks and communications to support advanced services in emerging wireless environments such as smart healthcare, smart grids, autonomous driving, aerial platforms, digital twins, and the metaverse. With … Read more
FiS-VLA Team SubmissionQuantum Bit | WeChat Official Account QbitAI Teaching robots to execute tasks intelligently, quickly, and accurately has always been a challenge in the field of robotic control. To address this issue, The Chinese University of Hong Kong, Peking University, Zhi Square, and the Beijing Academy of Artificial Intelligence have collaboratively proposed the Fast-in-Slow … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and corporate researchers.The vision of the community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. Paper Title: Soft Reasoning: … Read more
Comprehensive report from Electronic Enthusiasts Network, the Edge AI box is a hardware device that integrates high-performance chips, AI algorithms, and data processing capabilities, deployed at the edge of data sources such as factories, shopping malls, and traffic intersections. It can perform local data collection, preprocessing, analysis, and decision-making without the need to upload all … Read more
The implementation principle of Edge AI is to deploy artificial intelligence algorithms and models on edge devices close to the data source, enabling these devices to process, analyze, and make decisions locally without the need to transmit data to remote cloud servers. The goal of Edge AI implementation is to bring AI capabilities down to … Read more
Project Overview The U.S. Department of Defense (DOD) seeks to implement global operational capabilities, requiring intelligence, surveillance, reconnaissance, and targeting (ISRT) across all conflict domains. For the Navy, this encompasses operations from the deep seabed, underwater, surface, air, space, and cyberspace. Global ISRT integrates sensor information across all dimensions from seabed to space, providing commanders … Read more
How Do Smart Air Quality Monitoring Stations Monitor Air Quality in Real-Time Through Sensor Networks? – Welcome to ANNA Tech Gossip. – Hello, I’m Doris. – Today, let’s talk about smart air quality monitoring stations in environmental protection. – Do you know how these stations can monitor air quality in real-time through sensor networks? – … Read more
✅ Author Bio: A research enthusiast and Matlab simulation developer, skilled in data processing, modeling simulation, program design, complete code acquisition, paper reproduction, and scientific simulation. 🍎 Previous reviews can be found on my personal homepage:Matlab Research Studio 🍊 Personal motto: Seek knowledge through investigation; complete Matlab code and simulation consultation available via private message. … Read more