Learn about ThOR 10, the innovative glass-filled cyclic olefin resin for high-performance 3D printing applications across ...

3D TVs failed after providing some hope in the early 2010s. The push for more high-quality full-color 3D movies ended soon after due to insufficient demand. Consumers weren’t motivated enough to ...

The role of openings in architecture and how flat roof windows balance light, privacy, and ventilation for healthier spaces.

Leading the lineup is the Odyssey 3D (G90XF), a 27-inch gaming monitor that delivers a true 3D experience without the need for glasses ... in 27-inch and 32-inch models, it offers deep blacks ...

Stability warns the model may produce lower-quality results in certain scenarios, however, particularly with images featuring humans, animals, or “dynamic textures” like water. “Highly ...

Tencent Holdings Ltd. released new AI services that turn text or images into 3D ... Tencent’s five new 3D-content generators are built atop its Hunyuan3D-2.0 model, all of which it intends ...

Users on social media have discovered a controversial use case for Google’s new Gemini AI model: removing watermarks from images, including from images published by Getty Images and other well ...

The experimental feature marks the first time a major US tech company has integrated text and image generation within the same AI model. Unlike traditional AI image generation setups ...

Down the line, Cube 3D will be able to generate objects using images as inputs, too. “It will ultimately be a multimodal model, trained on text, images, video, and other types of input – and ...

Their 3D-printed version replaces traditional mesh spacers used during reverse osmosis, which is a water separation and decontamination process that uses pressure to force water through a ...

Abstract: Deep learning models have been widely investigated for computing and analyzing brain images across various downstream tasks such as disease diagnosis and age regression. Most existing models ...

Mixed Data Training: To optimize the grounding model's performance, we adopted a mixed-data training strategy by integrating detection data with grounding data during the grounding finetuning process.