Efficiency plays a critical role in many industries, from logistics and manufacturing to resource management and beyond. Problems such as optimizing delivery routes, scheduling tasks, or allocating resources have gained great relevance in our daily lives, mainly driven by the massive rise of e-commerce retail over the last couple of years. Despite not being as … Continued
While scrolling through LinkedIn, a video came across with captivating music and a strong opening: gs.generate(“A water droplet drops onto a beer bottle and then slowly slides down along the bottle surface”). Then, an ultra-realistic 4K commercial appeared to be generated from this simple prompt, showcasing stunning graphics in an almost close-up view. The video … Continued
It’s no surprise that AI models are getting bigger, with an increase in training data and the number of parameters. For example, while OpenAI’s GPT-3.5 was trained with 175 billion parameters and over 570 GB of data from various sources, GPT-4 was likely trained on close to 1 trillion parameters and terabytes of data. As … Continued
Introduction Nowadays, when we think about solving complex problems with computers, immediately we think about big data and Machine Learning. Developing a Machine Learning solution usually requires an intensive amount of data, which we use to extract the patterns and rules that lie behind the behavior of our systems. But what happens when this data … Continued
In today’s digital economy, data is one of the most valuable assets in an organization, crucial in every business area. Yet, with more and more data coming from different systems and devices, in different formats and frequency, keeping track of the existing data assets, their relationship, and who can access them has become harder than … Continued
In this blog, we introduce Universal Scene Description (USD), a powerful framework that has become a foundation for 3D content creation and collaboration. We explore how USD enables seamless integration of tools and workflows, revolutionizing industries from film and game production to robotics and AI simulation. By showcasing its role within NVIDIA Omniverse and Isaac … Continued
This blog summarizes the workflow for synthetic dataset generation using Isaac Sim. The provided code demonstrates how to automate object movement and rotation within a simulated environment, capture images from a camera, and generate annotations such as bounding boxes. This process is essential for creating synthetic datasets for training and testing computer vision models. … Continued
This blog provides an overview of the NVIDIA Omniverse ecosystem, with a particular emphasis on NVIDIA Isaac Sim. Introduction NVIDIA Omniverse™ is a platform of APIs, SDKs, and services. It helps developers use Universal Scene Description (OpenUSD) and NVIDIA RTX™ rendering tools. These tools can be added to current software and simulation processes to create … Continued
This blog presents the steps necessary to set up a NVIDIA Omniverse instance in an AWS EC2. There are two possible installations: Workstation and Container. We will set up a remote headless server using a Docker container, and use the GUI via Streaming Client/WebRTC. Steps for AMI creation In this section we describe the … Continued
Computers are more powerful than ever before. This means we can do things with AI that we couldn’t do in the past. But, these new AI models need a lot of data to learn. This appetite for data has been successfully addressed in natural language processing (NLP) by self-supervised pretraining. The solutions are easy to … Continued