Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
Organization DEVCOM Army Research Laboratory Reference Code ARL-C-CISD-300144 Description About the Research Current approaches optimize machine learning training largely by exploiting Deep Neural
-
learn how phenotypic datasets are integrated with genomic data for association analyses, genomic selection, and AI-driven methods, including machine learning and deep learning, to enhance germplasm
-
-derived data sets, crop growth modeling, deep learning, and other statistical methods. The participant will learn through collaboration with a multi-disciplinary team of researchers to solve challenges
-
pursues disruptive qubit research, innovative workforce development programs, and deep, collaborative partnerships to tackle some of the hardest open problems in quantum information science and technology
-
levels at harvest, we aim to develop predictive models, powered by deep neural networks, that can detect early signs of fungal infection and evaluate mitigation strategies such as soil amendments
-
-sustainability, and high power density under extreme battlefield operating conditions. An important component is the development of novel physics based models, high-fidelity simulation, and machine learning