The University of Wyoming Science Initiative’s Learning Actively Mentoring Program (LAMP) and the Office of Online and ...

The panelists demystify AI agents and LLMs. They define agentic AI, detail architectural components, and share real-world use cases and limitations. The panel explores how AI transforms the SDLC, ...

Imagine a world without disease. Sounds utopian? AI just made it a multibillion-dollar bet to discover drugs – and forget Big ...

A synthetic aperture radar (SAR) image classification task when the training and test sets have different distributions can be initially solved using the existing domain adaptation (DA) methods.

This article is concerned with the robust tracking control of linear uncertain systems, whose unknown system parameters and disturbances are bounded within ellipsoidal sets. We propose an adaptive ...

Good active spaces are correctly predicted with a considerably better success rate than random guess (larger than 80% precision for most systems studied). Our automated machine learning protocol shows ...