With the help of geometric deep learning, data-driven AI-powered engineering workflows are set to help companies innovate like never before by improving system and product performance ...

A team of scientists at Georgia Southern University has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a ...

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

The core value of unsupervised learning lies in its ability for data-driven exploration, making it particularly suitable for ...

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 ...

The integration of deep learning in biodiesel research accelerates feedstock evaluation and optimizes production, making it competitive with fossil fuels.

Medical image segmentation is one of the most important tasks in modern healthcare. Every pixel in a scan tells a story, whether it marks a healthy cell, a cancerous growth, or a vital organ boundary.

Explore how industrial robots and service robots are moving beyond factories, expanding into hospitals, homes, and customer ...