Researchers at NVIDIA have come up with a clever machine learning technique for taking 2D images and fleshing them out into 3D models.

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.

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

2D natural clay offers a platform for machine learning algorithm Peer-Reviewed Publication Science China Press image: (a) Camera image of mineral mica and (b) AFM image of 2D mica flakes.

(Image sourced via axial3D ) A Northern Ireland healthcare SME is using a wide swathe of Amazon Web Services (AWS) technologies to enable its proprietary algorithms to convert CT and MRI scans into ...