AI technology

FP8 (8-bit floating-point) low-precision format has become the best choice for high computing power and low energy consumption in AI, and is gradually being natively supported by chips from NVIDIA, AMD, and other manufacturers. This article provides a detailed analysis of the principles, advantages, and risks of FP8, and compares it with mainstream formats such as BF16, FP16, FP32, and INT4...

NVIDIA Isaac Sim is becoming the preferred physics simulation platform in robotics and smart manufacturing. Its open-source nature, multi-platform extensibility, and deep AI integration provide R&D teams with high-fidelity physical/visual simulation, automated synthetic data processing, and large-scale testing capabilities. It is highly compatible with ROS...

The Gaussian distribution (also known as the normal distribution) is the most fundamental and widely used probability model in statistics and data science. Its "bell curve" describes the distribution patterns of numerous natural phenomena and social data. This article, from the perspective of in-depth news reporting, systematically analyzes the basic principles, mathematical formulas, and classic applications of the Gaussian distribution...

The Swin Transformer, an innovative architecture that integrates the hierarchical design of Transformers with convolutional heuristics, became a mainstream model in computer vision in 2025. It boasts state-of-the-art performance, excellent hardware compatibility, and multi-size adaptability...

This article, from a news reporting perspective, focuses on five key techniques used by AI platforms and enterprises in model compression and inference acceleration: quantization, pruning, knowledge distillation, lightweight architecture design, compilers, and hardware acceleration. The content covers mainstream methodologies...

In 2024, NVIDIA CUDA 11.8 remained the mainstream platform for AI development and deep learning. This article, presented in a news report format, combines the latest official documentation and case studies to comprehensively break down the key points of CUDA 11.8 installation and configuration, and deeply analyzes common pitfalls for beginners, such as driver issues...

MGX is NVIDIA's modular AI server architecture, poised to revolutionize the AI industry in 2025. The MGX platform employs a modular design philosophy, supporting various GPUs, CPUs, and cooling methods, providing enterprises and research institutions with a flexible foundation for AI computing power. This article provides an in-depth analysis of MGX...

Human-feedback-based reinforcement learning (RLHF) is poised to become an indispensable core technology for large-scale model training and intelligent upgrades in the AI field by 2025. This article comprehensively reviews the fundamental principles of RLHF, its differences from traditional RL, key training processes, and mainstream application tools, and delves into data bottlenecks, reward models, etc.

Overfitting is a core challenge in machine learning, referring to a model's excessive fit to training data, which reduces its predictive ability for new data. As AI becomes increasingly prevalent in industries such as healthcare, finance, and e-commerce, overfitting not only affects decision accuracy but can also pose significant risks. This….

This article provides a professional analysis of the technical principles, mainstream structures, and cutting-edge iterations of the DETR (Detection Transformer) object detection framework by 2025, comparing its advantages with traditional detectors, covering Deformable DETR, DINO, RT-DET, etc.