Space The AMOC moves closer to collapse, scientists create artificial neurons, the "Iliad" is found inside and Egyptian mummy, and researchers search for treatments for brain-eating amoebas Artificial ...

Abstract: Deep learning (DL) has revolutionized image processing, particularly image detection of deepfakes, which have become harder and harder to distinguish due to generative model improvements.

In this tutorial, we design a practical image-generation workflow using the Diffusers library. We start by stabilizing the environment, then generate high-quality images from text prompts using Stable ...

In this tutorial, we build an end-to-end cognitive complexity analysis workflow using complexipy. We start by measuring complexity directly from raw code strings, then scale the same analysis to ...

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, Sigmoid, and more. #ActivationFunctions #DeepLearning #Python Multiple ...

Abstract: Image captioning has become one of the important areas of research that automatically produces comprehensible natural language descriptions of visual content, especially static images, by ...

Representing and integrating continuous variables is a fundamental capability of the brain, often relying on ring attractor circuits that maintain a persistent bump of activity. To investigate how ...

Computational systems have to learn when and how they should exert control over their actions. How do agents learn to solve this “metacontrol” problem? Here, we created a task that externalizes this ...