Technology and Engineering

Researchers at the Norwegian University of Science and Technology have developed two new explainability methods that integrate transformer attention weights...

A new framework called BootDiffLights uses a conditional diffusion model to generate reward signals for decentralized traffic signal control, outperforming...

A comprehensive new review maps the technical, regulatory, and ethical barriers separating deep learning breakthroughs in medical imaging from safe...

Researchers have developed RViTCANet, a multimodal deep learning framework that recognizes drones from millimeter wave radar cross section data with...

Researchers have developed CNN-SA-RFR, a cosine similarity-based self-attention framework that suppresses redundant filters during CNN training, boosting plant disease classification...

Researchers fused morphometric basin analysis with machine learning to map flood susceptibility across four Bayelsa State catchments, revealing hidden high-risk...

Researchers have released EmbedKD, an open-source toolkit that brings verified diagnostics, retrieval protocols and reproducible deployment checks to the compression...

Researchers have combined shallow counterdiabatic quantum circuits with classical memetic tabu search to achieve state-of-the-art scaling for the hard low-autocorrelation...

Researchers have built a ZIF-8-based nanosystem loaded with conferone and gold nanorods that shows potent, targeted, pH-responsive activity against melanoma...

Researchers have identified an optimal 5 to 10 percent filling density for micropatterned nerve conduits that balances topographical guidance with...