This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

Abstract: In recent years, the ascendance of diffusion modeling as a state-of-the-art generative modeling approach has spurred significant interest in their use as priors in Bayesian inverse problems.

Bayesian statistics remain popular for addressing inverse problems, whereby quantities of interest are determined from their noisy and indirect observations. Bayes’ theorem forms the foundation of ...

OpenAI’s GPT-4o represents a new milestone in multimodal AI: a single model capable of generating fluent text and high-quality images in the same output sequence. Unlike previous systems (e.g., ...

Stable Diffusion 3.5, released on October 22, claims improved prompt adherence and diverse outputs with three customizable models for various uses. Stability AI claims this update enhances prompt ...

A.I.’s math problem reflects how much the new technology is a break with computing’s past. By Steve Lohr In the school year that ended recently, one class of learners stood out as a seeming puzzle.

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Latent diffusion models have been demonstrated to generate high-quality images, while offering efficiency in model training compared to diffusion models operating in the pixel space. However, ...

Language models often need more exposure to fruitful mistakes during training, hindering their ability to anticipate consequences beyond the next token. LMs must ...