University of Tennessee researchers James Ostrowski and Rebekah Herrman are developing quantum-computing tools to tackle multi-stage stochastic decision problems in fields like energy, logistics, and ...

One-off tests don’t measure AI’s true impact. We’re better off shifting to more human-centered, context-specific methods.

Getting cited in AI responses requires more than strong SEO. It demands content built for extraction, trust, and machine readability.

Robotic automation is a key technology that increases the efficiency and flexibility of manufacturing processes. However, one of the challenges in deploying robots in novel environments is finding the ...

Abstract: As Artificial Intelligence (AI) and Machine Learning (ML) technologies continue to evolve, their integration into 5G and 6G networks has become critical for improving performance and ...

Abstract: In this study, optimization methods for the design of the compact and broadband adiabatic couplers are presented. Two definitions of an uncoupled waveguide system are introduced: the first ...

In contemporary breeding programs, typically genomic best linear unbiased prediction (gBLUP) models are employed to drive decisions on artificial selection. Experiments are performed to obtain ...