Wednesday, October 16, 2024

Creating Your Own 3D Virtual World

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Organizations must consistently focus on technical skill development in order to grow and flourish, particularly in quickly expanding fields of technology such as generative AI and the construction of 3D virtual worlds. 

NVIDIA Training, which prepares teams for the age of AI, high performance computing, and industrial digitalization, has announced the addition of new courses covering these technologies. Hundreds of thousands of students, developers, researchers, and data scientists have already benefited from the program’s important technical skills.   

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NVIDIA Training’s latest courses enable organizations to work. It allows users to instantly create new content from a range of inputs, such as text, photographs, audio, animation, 3D models, and other data kinds. 

NVIDIA Training courses on generation AI that are new or upcoming include:

• Generative AI Explained — Generative models are expediting application development for a variety of use cases, including question-answering, summarization, textual entailment, and the generation of 2D and 3D images and audio. Bryan Catanzaro, vice president of applied deep learning research at NVIDIA, presents an overview of gen AI’s significant accomplishments, where it stands now, and what it might be capable of in the future in this two-hour seminar. He’ll go about technical details and popular generative AI applications, as well as how businesses might use the technology ethically.

• Diffusion Models for Generative AI— Because of advances in computational power and scientific theory, generative AI is now more accessible than ever. Get started with generative AI application development with this hands-on course that teaches students how to create a text-to-image generative AI application using cutting-edge approaches. Create images using diffusion models and enhance the results using various optimizations. Create a denoising diffusion model using the U-Net architecture and include context embeddings for more user control.

Check out these NVIDIA Training Learning Paths for a comprehensive range of courses on generative AI and huge language models.

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Creating 3D Digital Worlds

Advances in digital world-building are altering, among other industries, media and entertainment, architecture, engineering, construction and operations, factory planning, and avatar development.

Immersive 3D environments increase user engagement and provide for novel approaches to real-world challenges. NVIDIA Omniverse, a platform for linking and building 3D tools and apps, enables technical artists, designers, and engineers to swiftly assemble sophisticated and physically correct simulations and 3D scenes in real time, while collaborating with team members seamlessly.

Essentials of USD in NVIDIA Omniverse — Universal Scene Description, or OpenUSD, is revolutionizing 3D workflows across sectors, according to new and upcoming NVIDIA Training courses on the subject. It’s an open standard for connecting, composing, and simulating 3D artists and developers in the metaverse. Students will discover what makes OpenUSD distinctive in terms of developing 3D worlds. Data modeling using primitive nodes, characteristics, and relationships, as well as custom schemas and composition for scene building and collaboration, are all covered in the course.

• Applications may include a number of extensions that operate together to handle specific 3D workflows, such as industrial digitization and factory planning. Students will begin their own application creation by using Omniverse reference applications such as Omniverse USD Composer and USD Presenter.

Using Synthetic Data to Build Computer Vision Models — Learn how to use NVIDIA Omniverse Replicator, a key Omniverse feature, to expedite computer vision model building. Create accurate, lifelike, physics-conforming synthetic data to help with the time-consuming and expensive task of classifying real-world data. The Omniverse Replicator accelerates and shortens the time to production for AI development at scale.

Check out these NVIDIA Training Learning Paths for a comprehensive list of graphics and simulation courses. 

A Diverse Course Offering

NVIDIA Training provides courses and resources to assist individuals and organizations in developing expertise in the use of NVIDIA technologies to fuel innovation. In addition to those mentioned above, the training catalog contains a wide selection of courses and workshops on AI, deep learning, accelerated computing, data science, networking, and infrastructure.

At the SIGGRAPH conference session “Reimagine Your Curriculum With OpenUSD and NVIDIA Omniverse,” Laura Scholl, senior content developer on the Omniverse team at NVIDIA, will discuss how to incorporate OpenUSD and Omniverse into an educational setting using teaching kits, programs for educators and other resources available from NVIDIA.  

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