Diffusion models are emerging as a game-changer in smart and precision agriculture. Unlike earlier AI methods such as ...

In rough terms, diffusion models are trained to sort of uncover an image from an isotropic Gaussian noise distribution that is the outcome of the training process from a finite set of sample images.

OpenAI ‘s latest endeavor, Shap-E, is a model that allows you to generate 3D objects from text, not unlike how Dall-E can create 2D images. According to OpenAI, Shap-E is “a conditional ...

Scholars, observing clustering in transitions to democracy, argue that democratization diffuses across borders as citizens in autocracies demand the same reforms they witness in neighboring states. We ...

We propose a Vuong-type model-selection test for models defined by conditional moment restrictions. The moment restrictions that define the models can be standard equality restrictions that ...

When a diffusion model trains on this, it learns how to gradually subtract the noise, moving closer, step by step, to a target output piece of media (e.g. a new image).

Stable Video Diffusion is far from the first AI model to offer this kind of functionality. We've previously covered other AI video synthesis methods, including those from Meta, Google, and Adobe.