Over the past decades, computer scientists have developed many computational tools that can analyze and interpret images.

Machine learning reveals vulnerabilities in 3D-printed carbon-fiber composites Machine learning can make reverse engineering of complex composite material parts easy Date: July 6, 2020 Source: NYU ...

A 3D wiring diagram, the largest of its kind, containing hundreds of thousands of cells and nearly half a billion connections of a mouse brain has been created by researchers at Baylor College of ...

Google has released TensorFlow 3D, a library that adds 3D deep-learning capabilities to the TensorFlow machine-learning framework. The new library brings tools and resources that allow researchers ...

Software Platforms This tool uses machine learning to animate 3D models on-the-fly, and it's getting Unreal Engine support soon News By Tyler Wilde published November 11, 2022 ...

Researchers have used machine learning to design nano-architected materials that have the strength of carbon steel but the lightness of Styrofoam.

A neural field network can create a continuous 3D model from a limited number of 2D images, and it does it without being trained on other samples.

Organizations are turning to machine learning because of the return on investment. The ones doing it in real-time are topping the charts.