Computer Sciences

A model that can realistically insert humans into images

The recent advent of generative models, computational tools that can generate new texts or images based on the data they are trained on, opened interesting new possibilities for the creative industries. For example, they ...

Machine learning & AI

AI trained to draw inspiration from images, not copy them

Powerful new artificial intelligence models sometimes, quite famously, get things wrong—whether hallucinating false information or memorizing others' work and offering it up as their own. To address the latter, researchers ...

Computer Sciences

Novel AI framework generates images from nothing

A new, potentially revolutionary artificial intelligence framework called "Blackout Diffusion" generates images from a completely empty picture, meaning that, unlike other generative diffusion models, the machine-learning ...

Computer Sciences

Researchers use GPUs to evaluate human brain connectivity

A new GPU-based machine learning algorithm developed by researchers at the Indian Institute of Science (IISc) can help scientists better understand and predict connectivity between different regions of the brain.

Computer Sciences

Artificial intelligence boosts super-resolution microscopy

Generative artificial intelligence (AI) might be best known from text or image-creating applications like ChatGPT or Stable Diffusion. But its usefulness beyond that is being shown in more and more different scientific fields.

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Diffusion

Diffusion describes the spread of particles through random motion from regions of higher concentration to regions of lower concentration. The time dependence of the statistical distribution in space is given by the diffusion equation. The concept of diffusion is tied to that of mass transfer driven by a concentration gradient. Diffusion is invoked in the social sciences to describe the spread of ideas.

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