Relief-type cultural heritage objects are commonly found in many historical sites worldwide, but often suffer from varying levels of damage and deterioration. Traditional methods for image ...

Deemos Tech, a leading 3D generative AI company, today announced the landmark launch of Hyper3D Rodin Gen-2, its ...

Researchers from UCLA have used a 3D printer to create an artificial neural network able to analyze large volumes of data and identify objects at the speed of light. The system is called a diffractive ...

Engineers have developed a high-throughput, multimaterial 3D inkjet printer that uses computer vision to rapidly and automatically control the amount of material being deposited during the printing ...

Storage technologies are a bit of an alphabet soup, with NAS, SAN, and DAS systems being offered. That’s Network Attached Storage, Storage Area Network, and Direct Attached Storage. The DAS is the ...

A research team has developed a powerful unsupervised deep learning network that can accurately separate wood and leaf components in 3D point clouds of trees—without the need for labor-intensive data ...

"What we are doing is creating technology to image brain activity in freely moving and behaving mice to open up the behavior paradigm," said Weijian Yang, professor of electrical and computer ...

A representative cluster of cells with microtubule (MT) protrusions comprises the early interplanar amida network (IPAN). The inset on the left provides an apical view of a subset of the cells shown ...

Prusa Research is making 3D printing more accessible to the masses, even as more people rely on mobile devices as their ...

MarketsandMarkets forecast recently that the global 3D printing market will grow by 22.5% a year, rising from $12.6bn in 2021 to $34.8bn by 2026. The technology’s usefulness was demonstrated during ...