Graph neural networks (GNNs) are models designed to perform inference on unstructured data described by graphs. For different segments and industries, GNNs find suitable applications such as molecular analysis, drug discovery and repurposing, predicting stock market developments, …

This tutorial introduces the Merlin framework which aims to make the development and deployment of recommender systems easier, providing methods for evaluating existing approaches, developing new ideas and deploying them to production. There are many techniques, such as different model …

In this workshop, you will learn how to run high fidelity robotic simulation with photo-realistic environments and highly accurate physics models. You will learn how to build a Docker image containing NVIDIA Isaac Sim, ROS, and other robotics application development and simulation tools …

GPU based audio processing has long been considered something of a unicorn in both the Pro Audio industry as well as the GPU industry. The potential for utilizing a GPU’s parallel architecture is both exciting and elusive, due to the number of computer science issues related to working with …

Learn the basics of Omniverse Create and XR as you embark on a journey to creating a virtual world. Omniverse Create and Omniverse XR provide cutting edge capabilities for 3D content simulation and visualization, forming an important first step in the digital twin creation pipeline. In this course, you’ll…

Learn how the physics and simulation features in Omniverse can simulate real-life physics and situations. Get a deep-dive look into Omniverse Create, its interface, and what PhysX is, as well as a peek at Machinima and that interface. Gain foundational knowledge of Create and how it’s relevant. …

Omniverse Replicator augments costly, laborious human-labeled real-world data, which can be error prone and incomplete, with the ability to create large and diverse physically accurate data tailored to the needs of AV and robotics developers. It also enables the generation of ground truth data that is …

Harnessing the incredible acceleration of NVIDIA GPUs is easier than ever. For over a decade NVIDIA has been collaborating in the C++ standard language committees on the adoption of features to enable parallel programming without the need for additional extensions or APIs. On account of this work, …

Learn how to use GPUs to deploy machine learning models to production scale with the Triton Inference Server. At scale machine learning models can interact with up to millions of users in a day. As usage grows, the cost of both money and engineering time can prevent models from reaching their full …

Modern quantum computing systems are noisy, remotely-hosted resources that have enabled experimentation but are currently incapable of application-specific quantum advantage. Research and development activities promise to considerably advance this situation, and we are starting to observe…

This training session introduces Sionna - NVIDIA’s new open-source software library for GPU-accelerated link-level simulations and 6G research. It enables the rapid prototyping of complex communication system architectures and provides native support for the integration of neural networks. In this …

Learn how to build and run an AI model while being aware of the AI medical project life cycle. You’ll get a short introduction to the MONAI Deploy architecture, understanding how it’s focused on defining the journey from research innovation to clinical production environments in hospitals. You’ll walk through…

Learn how to get started with AI-assisted Annotation using MONAI Label and OHIF or 3D Slicer as your image viewer and walk through creating your own MONAI label application. MONAI Label is an open-source image labeling and learning tool that allows researchers to create novel AI models and …

Attendees of the lab will gain experience with NVIDIA debugger and correctness tools by using CUDA-GDB and compute-sanitizer's functionalities on multiple small CUDA sample applications. In this workshop, you'll learn the basics of Nsight Visual Studio Code Edition and CUDA-GDB: how to build a …

With the arrival of NVIDIA RTX and realtime Ray Tracing APIs like DXR and Vulkan Ray Tracing, it's now easier than ever to create stunning visuals at interactive frame rates In this training, you'll learn how to utilize NVIDIA® Nsight™ Graphics to profile and optimize 3D Applications that are using Ray Tracing. …

Learn about designing, training, and evaluating domain-specialized health-care imaging AI models using MONAI. Researchers and data scientists need a common foundation to perform training experiments and compare against the state of the art. MONAI provides domain-specific …

Recent advances in combinatorial, computational, and synthetic chemistry have led to rapidly expanding accessible chemical space - including small molecular compounds suitable for drug discovery. Efficient exploration of such large-size chemical libraries can impact and expedite the …

Advances in the deep learning-based large language model (LLM) architectures have shown their impact on various complex tasks, including image and text processing, data generation, etc. Understanding the vast data related to biomolecules such as DNA, proteins, and drug-like chemicals …

If you have ever heard about InfiniBand you probably know it’s the pre-dominate network technology for AI and HPC deployments and now you have the chance to try it yourself. In this workshop you will have the opportunity to experience how simple it to operate and manage an InfiniBand fabric from an…

Parabricks is a GPU accelerated genomics software designed for secondary analysis. Compared to CPU based tools such as GATK, Parabricks is up to 80x faster for variant calling. This gives researchers the ability to run much more analysis on their data in a fraction of the time. In this workshop, we will …

Virtually all clinical and medical knowledge is contained in the rich free text information generated from research papers, physician notes in electronic medical records, lab notebooks and other areas that span across healthcare and life sciences applications. Extracting and structuring information from …

This training introduces the book "Learning Deep Learning" (LDL) from NVIDIA Deep Learning Institute (DLI). "LDL" was published by Pearson in 2021 and teaches deep learning from scratch to people with a programming or computer science/engineering background. Without requiring any prior machine …