Incoming information from the retina is channeled into two pathways in the brain's visual system: one that's responsible for ...

Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

While humans concentrate on the meaning of objects, artificial intelligence focuses on visual characteristics.

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...

Cooperative Vector Support enables these AI tasks to be executed across different shader stages. For instance, it allows certain neural network operations to run in pixel shaders without fully ...

The widespread use of Deep Neural Networks (DNNs) has recently resulted in their application to challenging scientific visualization tasks. While advanced DNNs demonstrate impressive generalization ...

Abstract Object classification has been proposed as a principal objective of the primate ventral visual stream and has been used as an optimization target for deep neural network models (DNNs) of the ...

Summary: Researchers developed a tool that simplifies the identification of errors in neural networks used for image recognition. Neural networks often produce errors that are challenging to trace, ...

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 ...