More advanced AI chatbots are more likely to oversimplify complex scientific findings based on the way they interpret the ...

When it comes to cutting-edge health technology, Jecizer Biosciences is quickly becoming the name you’ve probably haven’t ...

Understanding how the human brain represents the information picked up by the senses is a longstanding objective of ...

Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like telling a leaf apart from a rock. But they have struggled to build ...

A team of Chinese researchers led by Prof. GAO Caixia from the Institute of Genetics and Developmental Biology of the Chinese ...

A new AI model mimics human thinking with striking accuracy, even in unfamiliar scenarios. Researchers at Helmholtz Munich ...

Centaur, an AI model trained on 10 million decisions, learns to simulate human thinking, even in unfamiliar situations.

Atomistic models articles from across Nature Portfolio Atomistic models are computational models that mimic the behaviour of a complex system by explicitly taking its smallest constituent parts ...

Computational chemistry describes the use of computer modelling and simulation – including ab initio approaches based on quantum chemistry, and empirical approaches – to study the structures ...

Recently, diffusion models as a hot paradigm have shown considerable superiority in image restoration with an unsupervised manner. However, they require iterative refinement from isotropic Gaussian ...

Remote sensing images semantic segmentation is typically challenging due to the complexity of land cover information. Existing convolutional neural network (CNN)-based models lack the capability to ...

The final output image resolution is 512x512, so your input image resolution should be 128x128 (4x), 256x256 (2x), or 512x512 (1x). You can adjust the temperature and CFG(Classifier-Free Guidance) ...