Summary Federated learning is revolutionizing the development of autonomous vehicles (AVs), particularly in cross-country scenarios where diverse data sources and conditions are crucial. Unlike traditional machine learning methods that require centralized data storage, federated learning enables AVs to collaboratively train algorithms using locally collected data while keeping the data decentralized. This approach enhances privacy and security, as sensitive data never leaves the country, and improves the robustness of the models by incorporating a wide range of driving environments and situations....

Making Federated XGBoost Practical and Productive with NVIDIA FLARE Summary Federated learning allows multiple organizations to collaborate on machine learning models without sharing sensitive data. NVIDIA FLARE enhances federated XGBoost, making it more practical and productive for tasks like regression, classification, and ranking. This article explores how NVIDIA FLARE supports federated XGBoost, highlighting its key features and applications. Introduction to Federated Learning Federated learning is a machine learning approach that enables multiple parties to train a model together without sharing their raw data....

Summary Mosquitoes are a major public health concern, spreading diseases like dengue, Zika, chikungunya, and yellow fever. Identifying the species of mosquitoes is crucial in controlling their spread. A recent study uses deep learning to recognize tiger mosquitoes from images taken by citizen scientists with high accuracy. This article explores how neural networks can help in the fight against disease-carrying mosquitoes. The Challenge of Mosquito Identification Mosquitoes are a significant threat to public health, transmitting diseases that affect millions of people worldwide....

Summary This article delves into the process of analysis-driven optimization using NVIDIA Nsight Compute, a powerful tool for improving the performance of GPU kernels. It guides readers through a step-by-step approach to identify and address performance limiters, leading to significant improvements in code efficiency. Improving Code Performance with Analysis-Driven Optimization Analysis-driven optimization (ADO) is a methodical approach to enhancing the performance of GPU kernels. It involves using tools like NVIDIA Nsight Compute to identify the most critical performance limiters and then iteratively addressing these issues....

Summary Ray Tracing Gems is a series of books that delve into the world of real-time rendering, focusing on the techniques and algorithms used in ray tracing. The fourth installment of this series is now available for free on NVIDIA Developer Zone. This latest edition focuses on sampling, a crucial aspect of ray tracing that involves computing averages to simulate the physical behavior of light. The chapters in this book provide in-depth explanations and practical examples of various sampling techniques, making it a valuable resource for developers and researchers in the field of computer graphics....

Breaking Records with AI: How Fujitsu Trained ImageNet in Record Time Summary: In a groundbreaking achievement, researchers from Fujitsu have set a new speed record for training ImageNet to 75 accuracy in just 74.7 seconds. This feat was accomplished using 2,048 NVIDIA Tesla V100 GPUs and the MXNet deep learning framework on the AI Bridging Cloud Infrastructure system at the University of Tokyo in Japan. This article delves into the details of this record-breaking achievement and explores the technology behind it....

Bringing Virtual Characters to Life with Generative AI Summary Generative AI is revolutionizing the gaming industry by creating more intelligent and interactive non-playable characters (NPCs). NVIDIA’s Avatar Cloud Engine (ACE) for Games is at the forefront of this transformation, offering a suite of AI models that enable dynamic conversations, facial animations, and realistic behavior. This article explores how ACE for Games is changing the way NPCs are created and interacted with in games....

Summary NVIDIA’s RTX AI systems are revolutionizing the development and deployment of generative AI models on Windows PCs. With the NVIDIA RTX AI Toolkit, developers can leverage pretrained models, customize and optimize them, and deploy them to run locally or in the cloud. This comprehensive toolkit includes tools for fine-tuning, optimization, and deployment, making it easier for developers to bring powerful AI capabilities to Windows applications. Getting Started with Generative AI Development for Windows PCs Generative AI is transforming the way we interact with technology, from creating digital humans to generating content....

Unlocking Real-Time Ray Tracing and DLSS in Unreal Engine 4 Summary: Real-time ray tracing and DLSS (Deep Learning Super Sampling) are powerful tools in Unreal Engine 4 (UE4) that can elevate your game’s graphics to new heights. This article will guide you through getting started with these technologies, highlighting key features, performance improvements, and practical tips for integrating them into your projects. Getting Started with Real-Time Ray Tracing Real-time ray tracing in UE4 offers unparalleled photorealism by accurately simulating light interactions in real-time environments....

Summary Global illumination is a crucial aspect of rendering realistic scenes in computer graphics. It simulates the way light interacts with various objects in a scene, including indirect lighting, reflections, and refractions. Ray tracing, a technique that traces the path of light rays as they bounce off surfaces, is a powerful method for achieving global illumination. This article explores the impact of ray tracing on global illumination, highlighting its benefits and challenges, and discussing various techniques and systems for integrating ray tracing into real-time rendering applications....