After Ghibli-style images earlier in the year, a new trend has engulfed social media, where users are generating 3D model images of themselves using Google's new and powerful Gemini 2.5 Flash model, ...

The Analogue 3D hardware has finally been showcased, nearly a year after it was announced. A press video, uncovered by a Discord user before its official release, shows the finished hardware. After ...

The Bambu Lab H2S, heir to the company's X1 Carbon, offers a larger print volume and other enhancements. Here's why it might be worth the $1,249 asking price. Since 2004, I have worked on PCMag’s ...

University of Minnesota researchers developed a 3D-printed scaffold that directs stem cells to grow into functioning nerve cells, successfully restoring movement in rats with severed spinal cords.

The Analogue 3D has been delayed for a third time. The modernized Nintendo 64 was expected to ship before the end of August, but now it's slated for Q4 2025. The retro console was initially scheduled ...

A superintendent at a Pennsylvania school is helping to reduce costs for families with students interested in playing a musical instrument. Once a popular choice, the violin can cost hundreds of ...

What if your note-taking app didn’t just keep up with your life but actively elevated it? With the release of iOS 26, Apple Notes takes a bold leap forward, transforming from a simple digital notebook ...

Copilot 3D will turn your 2D images into 3D models. The tool is freely available to anyone, though you do need a Microsoft account. Microsoft suggests using an image with a single subject, even ...

What if you could create a fully-formed, intricately detailed 3D object in the time it takes to brew a cup of coffee? It sounds like science fiction, but with volumetric 3D printing, this is now a ...

All products featured on WIRED are independently selected by our editors. However, when you buy something through our retail links, we may earn an affiliate commission. Strange software bugs. Could ...

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...