Comprehensive Analysis of PLC Simulation Tool PLCSIM Advanced V5.0

Comprehensive Analysis of PLC Simulation Tool PLCSIM Advanced V5.0

Introduction: The “Virtual Laboratory” of Industrial Programming Imagine spending three days and nights writing a PLC program, only for it to “crash” during on-site debugging. Every engineer has experienced this frustrating moment. Today, we will unveil Siemens PLCSIM Advanced V5.0, this “virtual laboratory,” in simple terms, covering everything from installation to practical use, making it … Read more

What is the Best Computer for PLC Programming?

What is the Best Computer for PLC Programming?

Click↑↑Technical Training, follow and pin it to subscribe for free long-term 180,000+ industrial control professionals follow this WeChat platform: technical sharing, learning exchange, industrial control videos What is the best computer for PLC programming? What kind of laptop is suitable for PLC programming? Can the teacher recommend one? Are there high requirements for computers in … Read more

Practical Case of PLC: Key Points for Achieving 300% Improvement in Labor Efficiency in Electronic Factory Testing Lines!

Practical Case of PLC: Key Points for Achieving 300% Improvement in Labor Efficiency in Electronic Factory Testing Lines!

Estimated reading time: 8 minutes | Target audience: PLC engineers, automation engineers > 🤔 Have you encountered these issues: – Low testing efficiency in electronic factories, high labor costs? – Testing data is difficult to trace, quality control faces numerous challenges? – Interconnectivity of equipment is problematic, low production line collaboration? – High investment in … Read more

New Breakthrough in TinyML! Efficient Indoor Localization Using Transformers and Mamba

New Breakthrough in TinyML! Efficient Indoor Localization Using Transformers and Mamba

Paper Title: Optimising TinyML with Quantization and Distillation of Transformer and Mamba Models for Indoor Localisation on Edge DevicesPublication Date: December 2024Authors: Thanaphon Suwannaphong, Ferdian Jovan, Ian Craddock, Ryan McConvilleAffiliations: University of Bristol, University of AberdeenOriginal Link: https://arxiv.org/pdf/2412.09289Open Source Code and Dataset Link: https://github.com/AloeUoB/tinyML_indoor_localisation Introduction Typically, accurate indoor localization systems rely on large machine learning … Read more

Solving Composite Problems in One Inference: The MeteoRA Architecture for Scalable Integration of Knowledge Modules in MoE-based Large Language Models

Solving Composite Problems in One Inference: The MeteoRA Architecture for Scalable Integration of Knowledge Modules in MoE-based Large Language Models

The AIxiv column is a section published by Machine Heart that features academic and technical content. Over the past few years, the AIxiv column has reported on more than 2000 pieces of content, covering top laboratories from major universities and companies worldwide, effectively promoting academic exchange and dissemination. If you have excellent work to share, … Read more

Qualcomm Acquires Edge Impulse: A Powerful Alliance in Edge AI and TinyML, How Will It Reshape the Industry Landscape?

Qualcomm Acquires Edge Impulse: A Powerful Alliance in Edge AI and TinyML, How Will It Reshape the Industry Landscape?

📢 Breaking News:Only 4 days left until the deadline for the 2025 China Edge Computing Top 20 Company list registration! If you miss this moment, your company may miss the biggest exposure opportunity in edge computing this year!🚀 The edge computing community has learned that Qualcomm has recently acquired the edge AI startup Edge Impulse. … Read more

What Are the Future Challenges of Edge AI and Robotics According to NVIDIA?

What Are the Future Challenges of Edge AI and Robotics According to NVIDIA?

This article is based on a lecture from NVIDIA GTC2024: I am discussing what will happen in the future. However, today’s talk will focus heavily on the practical challenges and the emerging trends that we believe can help address the challenges in artificial intelligence and robotics. But before looking to the future, it is important … Read more

Tech Giants Enter TinyML: A New Turning Point for Edge AI

Tech Giants Enter TinyML: A New Turning Point for Edge AI

Author: Zach Shelby (Founder of Edge Impulse, Co-founder of Yunhe Capital)IoT Think Tank Original This is my 364th column article. Recently, the field of Tiny Machine Learning (TinyML) has made milestone progress, crossing an important watershed. The maturity and development potential of this technology will reach a new level. The most representative event was Qualcomm’s … Read more

Seizing Opportunities and Shaping the Future: Etron Technology’s Strategic Layout in Edge AI

Seizing Opportunities and Shaping the Future: Etron Technology's Strategic Layout in Edge AI

With the rapid development of emerging technologies such as the Internet of Things, big data, and artificial intelligence, the demand for industrial-grade storage continues to grow. As AI technology rapidly evolves, AI solutions are migrating to the edge, presenting new opportunities for the storage industry in the edge AI market. Etron Technology, which has a … Read more

2025 Edge AI Report: Real-Time Autonomous Intelligence, From Paradigm Innovation to the Technological Foundation of AI Hardware

2025 Edge AI Report: Real-Time Autonomous Intelligence, From Paradigm Innovation to the Technological Foundation of AI Hardware

Author: Peng Zhao (Founder of Zhici Fang, Co-Founder of Yunhe Capital)IoT Think Tank Original This is my 365th column article. In the previous article “Tech Giants Enter TinyML, Edge AI Reaches a New Turning Point,” I mentioned that the TinyML Foundation has undergone a rebranding and is now known as the Edge AI Foundation. Recently, … Read more