a human. Take, for example, image recognition, which relies on a particular type of neural network known as the convolutional neural network (CNN) — so called because it uses a mathematical ...

A new tool, based on topology, makes finding the areas where neural ... a Reeb graph, a tool taken from the field of topological data analysis. On the graph, each group of images the network ...

A neural network is a network of artificial neurons programmed in software. It tries to simulate the human brain, so it has many layers of “neurons” just like the neurons in our brain. The first layer ...

More information: Farshad Rafiei et al, The neural network RTNet exhibits the signatures of human perceptual decision-making, Nature Human Behaviour (2024). DOI: 10.1038/s41562-024-01914-8 ...

A GAN can iteratively generate images based on genuine ... are also of a much lower resolution. Neural networks are becoming incredibly good at faking human faces. Will we be able to tell them ...

Phase contrast image of a neural network ... Self-organized and complex neural network activity has been observed in cerebral organoids – artificially grown 3D tissue cultures that resemble the ...

This data set is huge, consisting of 126 million images along with their accompanying Exif location data. Weyand and co used 91 million of these images to teach a powerful neural network to work ...

Researchers are training neural networks ... have enough human data in existing computer science literature, so we don't know how people will behave when they are exposed to these images.