Want more? Sign up for our weekly newsletter:

Folks working in 3D have no shortage of software options. Here's why we think Blender is the best overall tool for the modern 3D workflow.

AutoML revolutionized machine learning model development. Can faster, better synthetic data do the same for computer vision training data?

Get up and running with synthetic data in an instant using our starter sims. Here we present a shelf simulation for object detection models.

AI research and news breaks constantly. Subscribe to the best AI newsletters to stay up to date. Here are some of our personal favorites.

Artificial intelligence isn't neutral. Many AI systems exhibit algorithmic bias, a sort of automation of society's existing prejudices.

Pre-trained CNNs remain the standard when training models for computer vision use cases. But Visual Transformers are showing potential.

Porch pirates are no match for a computer vision model trained to detect your packages. But can you make it work with synthetic data alone?

Generative adversarial networks have been used to create fake people and photorealistic worlds. But what are GANs, and how do they work?

The European Commission has introduced a legal framework for AI regulation. Here we've summarized the proposal's goals and how it will work.

Neural rendering is a new approach to image synthesis. But how does it work, and just how does it differ from classical computer graphics?

A simple tutorial walking through how to 3D scan an object and create a synthetic dataset for machine learning from the resulting model.

This week the FTC published an explicit rebuke of algorithmic bias and the creation or use of AI systems that produce biased outcomes.

Tools that give developers end-to-end control over their deep learning projects are fundamentally changing the way machine learning is done.

René Magritte’s most famous painting is The Treachery of Images. What can it teach us about synthetic data and the way that humans learn?

Adoption of computer vision across industries has increased the demand for labeled data. But training with labeled data presents challenges.

In the next ten years, computer vision will make huge strides. In this article, we take a look at the trends and breakthroughs of the 2010s

California, the first state to implement a comprehensive privacy law, now has an updated set of rules: the California Privacy Rights Act.

Is it one word or two? In this deep dive, we aim to answer the question of whether folks should be using data set or dataset.

We trained a computer vision model to detect and count ballots using synthetic data. Start training AI of your own with our free sample data

We trained a computer vision model to identify the components of a Raspberry Pi board using exclusively synthetic data. You can too.