Common Deep Learning Methods for Small Object Detection
Survey of techniques for small object detection and face detection: image pyramids, FPNs, data augmentation, anchor strategies, SNIP/SNIPER training and context modeling.
Survey of techniques for small object detection and face detection: image pyramids, FPNs, data augmentation, anchor strategies, SNIP/SNIPER training and context modeling.
Technical overview of the EASY EAI Nano-TB AIoT mainboard (RV1126B): quad-core Cortex-A53, up to 3 Tops NPU, dual MIPI CSI, MIPI DSI, dual GbE, WiFi 6, USB, GPIO, Linux SDK.
Overview of the AI-RAN Alliance formed at MWC 2024, its goals to integrate AI into radio access networks for 5G/6G, edge AI deployment, and contrast with OpenRAN.
Technical overview of AI server interconnects and components: DGX H100 architecture, PCIe switches and Retimers, and DDR5 memory interface chip trends.
Explains Fourier transform fundamentals, FFT use in signal processing and machine learning, and Python time-series examples for frequency-domain feature extraction.
Guide to machine learning visualization techniques covering model structure, performance plots (ROC, confusion matrix), feature importance, and practical analysis.
Overview of AIGC and ChatGPT: technologies, industry chain, applications in text/image/video, e-commerce impact, and prompt engineering best practices.
Overview of AI smart safety helmet integrating AI vision, vital-sign and environmental sensors for real-time monitoring, alerts, positioning and intelligent management.
AI super-resolution and upscaling: GPU and transfer-learning advances, training-data limits, and applications in satellite, medical, gaming, and video-conferencing.
MegaScale system for large-scale LLM training beyond 10,000 GPUs, detailing algorithm-system co-design, communication and network tuning, MFU improvements, and fault-tolerant recovery.