NTN applies AI and machine learning to accelerate bearing design, cut analysis time and reduce engineering workload.

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...

The approach enables objective and automatic determination of the quantum-mechanical region based on electronic-state changes ...

These strategies help teachers set up engaging and enriching opportunities for literacy exploration throughout the day.

Researchers at Chungnam National University have developed a deep learning method that predicts stable defect configurations in nematic liquid crystals in milliseconds rather than hours. This rapid ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" that solves the latency bottleneck of long-document analysis.

Through the MITx MicroMasters Program in Data, Economics, and Design of Policy, Munip Utama strengthened the skills he was ...

Many new teachers step into classrooms that still reflect traditional, teacher-centered models. These classrooms often place ...

Establishing a new quantum mechanics/molecular mechanics design principle based on electronic-state responses.

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...