Abstract: Deep Learning-based Structural Health Monitoring (SHM) of large-scale structures requires extensive damage labels. Data augmentation is commonly performed with numerical simulations based on ...

Abstract: Synthetic simulation of Interferometric Synthetic Aperture Radar (InSAR) data plays a critical role in algorithm development, mission design, and machine learning pretraining. However, most ...

The landscape of puzzle-solving has shifted from manual brute-force methods to AI-assisted development, with Microsoft Copilot now capable of generating and editing code directly in your live ...

Atlanta — It is a sunny afternoon in Atlanta, Georgia, but inside Carolyn Kayne's 3,000-square-foot home, it is cold. "I'm walking around in a ski suit trying to stay warm in the winter," Kayne told ...

There are two global problems you probably don't like to think about. First, burning gas and coal is still heating up the planet. Second, the thousands of AI data centers popping up all over the ...

A new holographic storage technique uses light in three dimensions to dramatically increase how much data can be stored. It encodes information throughout a material using amplitude, phase, and ...

Create a lightweight keyword-driven UI automation framework using Playwright-CLI where test cases can be written in simple English. The framework should parse the test steps using regex-based keyword ...

Previous attempts to define subtypes using symptom checklists have usually ended up grouping people mainly by how severe their symptoms are. To move beyond this limitation, the researchers in this ...

Instinct alone is no longer enough. Leaders in HR are being called on to think and act like strategic operators—aligning talent, culture and compensation decisions directly to business outcomes. The ...