This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

This research proposes a neural network-based super-twisting controller for robot joints. A modified fast non-singular terminal sliding surface is introduced, which not only avoids singularity but ...

A hybrid approach to AI is powering Amazon’s Rufus shopping assistant and cutting-edge warehouse robots.

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...

In this research, an advanced convolutional neural network optimization algorithm has been proposed. The accuracy of water yield property prediction is further improved by extracting features with ...

This paper presents an analog RF-domain implementation of a Vanilla Recurrent Neural Network (RNN) for real-time anomaly detection in 5G and beyond wireless networks. Real-time analysis is crucial to ...

Several significant research studies related to Preventing Phishing Attacks for Cyber Threat Mitigation have been reviewed ...