Uncover the Latest in AI and IoT

Highlight cutting-edge IoT technologies, AI advancements, and practical applications. Include open-source libraries and development tools to provide value to tech-savvy readers.

ZedIoT Blogs

mcp-ai
MCP (Multi-Chain Processing) is reshaping AI computing! It enhances the speed, scalability, and efficiency of AI tasks. Explore MCP AI technology, application cases, and future trends!
creat-an-enterprise-level-private-knowledge-base-and-AI-document-review-system-using-Dify-and-DeepSeek
Quick learn how to creat an enterprise-level private knowledge base and AI document review system using Dify and DeepSeek. By integrating RAG  for efficient, secure document review management.
Selection Guide for Embedded MQTT Clients
Master the core logic of selecting embedded MQTT clients development in one article. Compare more than 10 technical solutions such as wolfMQTT, Paho, and EMQX. Provide scenario-based architecture design paradigms and predictions of future technology trends.
AI in Hardware Devices
An in-depth exploration of how integrates AI in hardware devices, covering technical principles, voice interaction optimization, model deployment strategies, and cost considerations.
Edge AI for IoT
This article explores Edge AI for IoT's technical architectures and implementations on IoT devices, emphasizing efficiency, performance optimization, and real-world case studies.
Real-Time AI Edge Computing
This article delves into how real-time AI edge computing is transforming applications. By processing data closer to the source, edge computing reduces latency, enhances security, and fosters a new wave of innovative, mission-critical AI solutions across industries.
2025 ai Hardware
From smart wearables to industrial AI systems, AI hardware in 2025 is evolving rapidly. This blog explores the latest innovations, applications across industries, and key trends shaping the AI hardware market.
Enterprise AI anxiety
Many business leaders face AI anxiety, unsure how to integrate AI into their operations for real value. This article explores AI's role in business, practical deployment strategies, successful case studies, and future trends to help enterprises move from uncertainty to AI-driven productivity.
aiot-in-embedded-development
Learn how Embedded AI optimize smart city systems with real-time data processing and decision-making solutions.
ChatGPT-O3 vs. Grok-3 vs. DeepSeek-R1 - 3 AI Model Comparison
ChatGPT-O3, Grok-3, and DeepSeek-R1 are among the hottest AI models today. How do they differ in terms of architecture, reasoning ability, fine-tuning methods, and inference efficiency? This article provides an in-depth technical analysis of these three AI Model Comparison.
aiot vs ai+iot
Know more about AI + IoT and AIoT, their impact on smart homes, health devices, and embedded development. Learn how these technologies shape the future of IoT and AI integration.
what-is-ai+iot
AI + IoT combines smart devices with AI, transforming homes, cities, and industries for a future that's more efficient, intelligent, and sustainable.
what-is-aiot
AIoT (Artificial Intelligence of Things) combines AI and IoT for self-learning, real-time decision-making, and automation. Learn what is aiot, AIoT meaning, applications, and future trends.
Top 10 Most Popular Machine Learning Frameworks in 2025:
Discover the top 10 most popular deep learning frameworks in 2025, including TensorFlow, PyTorch, MXNet, Detectron2, SpeechBrain, and MONAI. Learn about their technical details, applications, and how they are shaping the future of AI in computer vision, speech recognition, medical imaging, and more.
DeepSeek AIoT
DeepSeek AI is transforming the AIoT landscape! From smart healthcare to intelligent energy management, DeepSeek integrates edge computing, cloud-edge collaboration, and MoE architecture to enable self-learning and decision-making devices. Discover how AI enhances medical imaging, remote monitoring, smart grids, and building energy efficiency, driving IoT into a fully intelligent era!
deepseek edge ai
Discover how DeepSeek Edge AI models (V3 & R1) can efficiently run on edge devices and AI hardware. This article explores quantization techniques (INT8/FP16), model distillation, hardware acceleration (RK3588, Jetson, Coral TPU), and cloud-edge AI collaboration for smart homes, automotive AI, industrial IoT, and intelligent security applications.

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