This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models that are deeply aligned with their specific data domains ...

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 ...

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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 ...

United Airlines detected a missing external panel after one of its planes landed in Oregon, adding to the growing pile of recent mishaps for Boeing. The flight leaving San Francisco on the morning of ...