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 ...

We humans excel at generalization. If you taught a toddler to identify the color red by showing her a red ball, a red truck ...

Two new neural network designs promise to make AI models more adaptable and efficient, potentially changing how artificial ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

A team of researchers at Western University has now taken a major step toward opening these AI black boxes. By applying ...

The device paves the way for a new era of ultrafast computing, say researchers.

To address the above problems, this article proposes a recurrent self-coding neural network (RSCN) for one-stop noise cancellation of the whole measurement line signal. The method adopts the gated ...

Nvidia provided in-depth details on the various neural rendering techniques that will be unveiled with the RTX 50-series later this month. Here's everything you'll need to know about DLSS 4, Multi ...

This work models reinforcement-learning experiments using a recurrent neural network. It examines if the detailed credit assignment necessary for back-propagation through time can be replaced with ...

Western researchers have developed a novel technique using math to understand exactly how neural networks make decisions—a ...

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...