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

The earliest neural networks, which have later evolved into the large language models (LLMs) revolutionizing our society, were developed to study how information is processed in our brains. Ironically ...

Hospital-at-home initiatives use innovative technologies and sensors to deliver continuous care, improving patient quality of ...

In a separate post, Behrouz claimed that based on internal testing on the BABILong benchmark (needle-in-a-haystack approach), ...

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

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

Just as GPUs once eclipsed CPUs for AI workloads, Neural Processing Units (NPUs) are set to challenge GPUs by delivering even ...

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, ...

The Chinese Canadian artist is presenting a new kinetic work as part of the arts and culture programme at the 2025 World ...

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 ...