WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.

Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

Researchers have developed a new artificial intelligence-based approach for detecting fatty deposits inside coronary arteries ...

Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in ...

A recent review concluded that artificial intelligence (AI) is rapidly transforming the diagnosis and treatment of haematological malignancies by enhancing diagnostic accuracy and ...

A new study published in the Journal of the American Medical Association showed that using retinal scans of premature infants ...

AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...

Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in food by eliminating misclassifications of food debris that looks like bacteria ...

Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current technologies often face significant operational limitations. While X-ray scanners ...

For customers who must run high-performance AI workloads cost-effectively at scale, neoclouds provide a truly purpose-built ...