Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models ...

Innodisk has recently introduced the EXEC-Q911, a COM-HPC Mini starter kit designed for edge AI applications powered by a ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method that aligns memristor hardware's noisy updates with neural network training, ...

EDN announces this year’s winners of the Electronic Products Product of the Year Awards, selected by the editors.

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

Researchers in China have developed an error-aware probabilistic update (EaPU) method that dramatically improves the ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...

Researchers from King Abdullah University of Science and Technology (KAUST) have developed deepBlastoid, the first deep-learning platform ...

Bridging speed and accuracy in radiation therapy QA Led by Professor Fu Jin, the study addresses a critical challenge in ...

Deep learning and artificial intelligence are driving a transformative era in medical imaging, ushering in advanced tools for ...

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...