Year: 2025

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

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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?

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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?

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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

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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

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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

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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

The Evolution from AIoT to Edge AI

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The Evolution from AIoT to Edge AI

The migration of AI, including generative AI, to edge devices has raised widespread questions: If cloud or data centers already possess excellent AI inference capabilities that far exceed those of edge devices, why do we still need to deploy edge or on-device AI? Until we realized that automotive ADAS/AD decision-making must prioritize real-time performance; otherwise, … Read more

Why MCU Manufacturers Are Accelerating Their Layout in Edge AI?

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Why MCU Manufacturers Are Accelerating Their Layout in Edge AI?

Smart homes, industrial IoT, wearable devices, and smart surveillance are currently hot topics of interest. Enhancing the AI processing capabilities of edge computing will significantly improve the intelligence level of terminal devices. In this context, edge AI has entered a fast track of development in recent years. The MCU is the most widely used processor … Read more

Advancements in Sensor Attack Techniques in OT Networks: A Deep Dive

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Advancements in Sensor Attack Techniques in OT Networks: A Deep Dive

Editor’s NoteThe Russia-Ukraine war has accelerated the innovation of tactics and techniques for cyber attacks on industrial control systems. The bombing incident involving pagers and walkie-talkies in the Lebanon conflict has reshaped the understanding of traditional cyber warfare. Artificial intelligence and large models have reduced the spatiotemporal costs for attackers. Targeted ICS malware, weaponized PLCs, … Read more

Task Allocation Strategies in Wireless Sensor Networks Based on Heterogeneous Clusters: Matlab Code

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Task Allocation Strategies in Wireless Sensor Networks Based on Heterogeneous Clusters: Matlab Code

✅ Author Profile: 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, follow the personal homepage:Matlab Research Studio 🍊 Personal motto: Investigate to gain knowledge, complete Matlab code and simulation consultation available via private message. Intelligent Optimization Algorithms … Read more