As proposed and demonstrated by the Los Alamos team, the architectures and techniques proposed to mitigate or altogether ...

A new hardware-software co-design increases AI energy efficiency and reduces latency, enabling real-time processing of ...

Abstract: Deep learning has achieved promising results in motor imagery (MI) EEG signal decoding. However, most studies have failed to fully exploit both the multimodal temporal information and global ...

A new hybrid AI model improves lung cancer detection on CT scans, achieving over 96% accuracy for early tumour identification ...

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...

Every year, the Earth shakes thousands of times. Most of those tremors go unnoticed, felt only by sensitive instruments ...

Abstract: Early detection of skin cancer (SC) is paramount for effective treatment. Although convolutional neural networks (CNN) have facilitated automated learning of high-level features from ...

A peer-reviewed study published in Satellite Navigation describes an AI framework that can estimate a drone’s position, ...