The team's objective was to compare existing models of decision-making and potentially identify new ones that better describe how people make decisions during strategic interactions with others. "We ...

A multimodal neural network integrating morphology and spectral energy distribution data improves classification accuracy for ...

A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from ...

A new international study has introduced Curved Neural Networks -- a new type of AI memory architecture inspired by ideas ...

Recurrent Neural Network in Deep Learning. Recurrent Neural Network in Deep Learning is a model that is used for Natural ...

• Generative AI models use massive datasets and neural networks to create outputs such as images, text, and audio. They operate using unsupervised or semi-supervised learning to recognize ...

Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today.

Chainer is a fully featured neural network software that allows for easy and intuitive definition of complex neural network models. Chainer is written in Python and can be used with popular ...

The Data Science Lab Neural Network Regression from Scratch Using C# Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction ...

In 2021, cognitive neuroscientist Evelina Fedorenko from the Massachusetts Institute of Technology and her team published a paper presenting their evaluation of how well several state-of-the-art ...