Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

James has been writing about technology for years but has loved it since the early 90s. While his main areas of expertise are maker tools -- 3D printers, vinyl cutters, paper printers, and laser ...

In a unique partnership between the Intrepid Museum and FARO Technologies, one of America's most historic aircraft carriers has been digitally preserved with millimeter-level precision, creating a ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Abstract: Synthesizing 3D content from single image has great potential in many real-world applications. To deal with the inherent ambiguity of single image, existing methods usually leverage ...

Abstract: This article proposes an advanced neuro-transfer function (neuro-TF) modeling method incorporating quadratic approximated vector fitting of parametric poles/residues extraction for ...

This is the official implementation of MeshDiffusion (ICLR 2023 Spotlight). MeshDiffusion is a diffusion model for generating 3D meshes with a direct parametrization of deep marching tetrahedra (DMTet ...

Take the next step up in learning how to solve the Rubik's Cube with speed and dexterity. Learn these essential finger tricks and become a light-fingered wizard.