Industry Insights 8-minute read
2026 AI Hardware Trends: Key Directions Developers Need to Know
From edge AI chips to neuromorphic computing: exploring the key hardware trends that will define AI development from 2026 onward.
Dr. Liu•2026-5-15
Blog
Insights, tutorials, and industry analysis on AI hardware, embedded systems, and edge computing.
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Technical Guide 12-minute read
Deploying Transformer Models on Edge Devices: A Practical Guide
Learn optimization techniques for running large language models and vision transformers on resource-constrained embedded systems.
Zhang Ming•2026-5-8
Design Tips 10-minute read
Best Practices for PCBA Design of High-Speed AI Workloads
Basic PCB Design Guidelines for High-Speed Digital Signals, DDR Memory, and PCIe Interfaces in AI Applications
Chen Jie•2026-4-28
Technical Guide 15-minute read
AI Inference Optimization for Embedded Linux
Deep dive into kernel tuning, real-time patches, and system optimization techniques to maximize AI inference performance on embedded Linux.
Dr. Wang•2026-4-20
Case Studies 7-minute read
Computer Vision in Manufacturing: 5 Real-World Use Cases
Discover how AI-powered vision systems are transforming manufacturing quality control, predictive maintenance, and process optimization.
Kim Roberts•2026-4-12
Buying Guide 11-minute read
How to Choose the Right AI Hardware Platform for Your Project
Comprehensive comparison of NVIDIA Jetson, Intel Movidius, Rockchip NPU, and other AI accelerators for embedded applications.
Dr. Liu•2026-4-5
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