Spatial econometrics addresses the challenges posed by spatially correlated data, enabling researchers to understand and quantify how economic phenomena in one location can influence those in ...

Polygonal meshes are widely used in computer graphics, robotics, and game development to represent virtual objects and scenes. Exisitng learning-based methods for 3D object generation have relied on ...

Artificial intelligence has reached a point where it can compose text that sounds so human that it dupes most people into thinking it was written by another person. These AI programs—based on what are ...

Given the importance and the ubiquity of indoor spaces in our everyday lives, the ability to have computer models which can understand, model, and synthesize indoor scenes is of vital importance for ...

Google DeepMind quietly revealed a significant advancement in their artificial intelligence (AI) research on Tuesday, presenting a new autoregressive model aimed at improving the understanding of long ...

Mercury 2 targets structured tasks with schema-aligned JSON output; supports OpenAI API drop-in integration, for simpler deployment.

Researchers developed a hybrid AI approach that can generate realistic images with the same or better quality than state-of-the-art diffusion models, but that runs about nine times faster and uses ...

Z.ai announced their image generation model, GLM-Image, on January 14, 2026 (local time). It is a hybrid model that combines an autoregressive model and a diffusion model. The autoregressive model is ...

Today, most generative image models basically fall into two main categories: diffusion models, like Stable Diffusion, or autoregressive models, like OpenAI’s GPT-4o. But Apple just released two papers ...