TL;DR; The Rendered.ai Channel for NVIDIA Omniverse is now available. Anyone can try it out by signing up for the Rendered.ai platform and using the content code “OVDEMO”. The channel demonstrates how familiar Omniverse workflows, such as the Omniverse Replicator tutorials, can be implemented and used to generate data in…

TL;DR; Last year, we shared our partnership with the RIT DIRS Laboratory, enabling us to use the physically accurate DIRSIG(TM) simulator in Rendered.ai for synthetic data generation. We have added updates for trial users to explore common sensor and platform configurations with standard scenes that are provided through DIRSIG. With…

TL; DR: The push to automation requires us to engineer the data we use for AI. Eventually, AI practitioners will start considering synthetic data as a core corporate capability and incorporate synthetic data into their long-term AI strategy. Rendered.ai …

Tl;DR: Synthetic Aperture Radar (SAR) is changing how we view our planet. With the growing interest in developing artificial intelligence (AI) algorithms for object recognition and classification, we hear from customers who want to access SAR datasets to test and train algorithms. Rendered.ai is publicly sharing a demo of our…

TL;DR: In an interview, the leaders of Rendered.ai discuss the latest trends in AI, adapting to a rapidly shifting market, and how to prepare for a career in AI. With the growing emphasis on automation, there is an increased demand for skills to adapt artificial intelligence and machine learning tools…

TL; DR: Synthetic Aperture Radar (SAR) is changing the way we look at our planet. With the growing interest in developing artificial intelligence (AI) algorithms for object recognition and classification, we are hearing from customers who would like to access SAR datasets to test and train algorithms. Rendered.ai is publicly…

Are you interested in increasing your ability to innovate, reducing the costs of data acquisition, and reducing the impact of real data collection on the environment? Join us for a webinar on March 28th at 11 am ET on how to enhance your AI training with physics-driven synthetic multi and hyper-spectra Imagery from Rendered.ai’s platform using Rochester Institute of Technology’s DIRSIG simulation technologies for synthetic data generation. Register now!

What is physics-based synthetic data, how is different from generative synthetic data, and what can you do with it? Rendered.ai’s CEO, Nathan Kundtz, answers these questions and more during his talk at Gretel.ai’s Synthesize 2023. Catch his talk and all other sessions on demand now! Want to stay in the loop? Sign up for Rendered.ai’s newsletter! We’ll share news, tips, and product updates on synthetic data for computer vision applications.

TL;DR: Rendered.ai is publicly releasing the capability to generate synthetic RGB satellite imagery for rare object detection. To try it for yourself, sign up for the Rendered.ai platform and input the content code SATRDEMO Introduction One of the greatest needs we have heard from our customers in the Earth Observation…