eLife

Barcode activity in a recurrent network model of the hippocampus enables efficient memory binding

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
IEEE

Improving accuracy in Text Extraction From images using Region-Based Convolutional Neural Networks algorithm compared to Convolutional Neural Network algorithm

Abstract: Text extraction is a critical task in data processing and analysis, requiring high accuracy for effective applications. This research employed a publicly accessible Kaggle dataset to assess ...
GitHub

Neural Importance Sampling of Many Lights

This is the official implementation of the paper, titled "Neural Importance Sampling of Many Lights", to be presented at ACM SIGGRAPH 2025 (conference track). We propose a hybrid neural approach for ...
The Nation Newspaper

Tinubu seeks extension of 2025 budget implementation to March 2026

President Bola Ahmed Tinubu on Friday wrote to the National Assembly seeking the approval of the lawmakers to extend the life span of the 2025 budget to March 2026. The letter dated December 18 and ...
IEEE

Adaptive Output Feedback Control Using Lyapunov-Based Deep Recurrent Neural Networks (Lb-DRNNs)

Abstract: Unlike traditional feedforward neural networks, recurrent neural networks (RNNs) possess a recurrent connection that allows them to retain past information. This internal memory enables RNNs ...