Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

By crafting an artificial brain-like environment with microscopic nanopillars, researchers have successfully guided neurons to grow in structured networks. This innovation could revolutionize how scie ...

Researchers developed a PV-RNN model that learns like children, integrating language and action to uncover mechanisms of ...

Artificial intelligence (AI) writing tools have been exploding in popularity. Automated rewriting tools, or text generators, or article spinners, these algorithms claim to generate human-like content ...

A new AI model, based on the PV-RNN framework, learns to generalize language and actions in a manner similar to toddlers by ...

Researchers developed COMET, a deep learning framework that leverages electronic health records and omics data to improve ...

In this study, we propose a novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing ... and other common trading systems over a long out-of-sample ...

Learn More A new neural-network architecture developed by researchers ... attention and memory modules to complement each other. For example, the attention layers can use the historical and ...

Starting with basic shapes like squares and triangles, the team created a recurrent neural network (RNN ... can be useful far beyond this first example.” As AI continues to shape the world ...

Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.