As artificial intelligence technology accelerates its penetration into various industries, Convolutional Neural Networks (CNN ...

CNNs vs. transformers; selecting a package; IoT education; managing design data; containerized workloads for automotive; ...

In recent years, there has been a surge of research focused on the application of artificial intelligence (AI) to ...

Economists from HSE University have developed a neural network model that can predict the onset of a short-term stock market crisis with over 83% accuracy, one day in advance. The model performs well ...

To address growing demands for efficient AI computing, scientists in China developed a reconfigurable integrated photonic chip that supports diverse neural network models within a unified hardware ...

Recently, the National Intellectual Property Administration announced a notable patent developed jointly by Shenyang University of Technology and China Aero Engine Corporation, titled "A Bearing Life ...

Demographic bias gaps are closing in face recognition, but how training images are sourced is becoming the field’s biggest privacy fight.

A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention mechanisms. Delivering 97% faster detection and improved ...

The thesis not only showcases technical advancements but also underscores the importance of interpretability and scalability in agricultural AI solutions. Farmers and stakeholders are more likely to ...

Researchers review AI-powered inverse lithography, showing how deep learning boosts chip patterning precision and efficiency while facing scaling challenges.