The unprecedented evolution of artificial intelligence (AI), particularly in machine learning (ML) and deep learning (DL), has catalysed transformative ...

Since launching the Project Portal in 2019, the Experiential Learning Network has engaged over 1,000 UB undergraduate students in mentored projects and digital badges—over 700 students last year alone ...

This multi-disciplinary PhD research project focuses on improving biodiversity risk assessment in agricultural landscapes by leveraging advanced AI and machine learning. Given the global urgency to ...

Abstract: Unsupervised domain adaptation (UDA) for remote sensing image semantic segmentation aims to ... which introduces contrastive learning to learn domain-consistent features across the source ...

The Career Center coordinates and supports two primary Experiential Education programs: Internship and Practicum. Be sure you know what type of Experiential Education opportunity will best suit you ...

In addition to verifying eligibility requirements listed below, applications will be reviewed and ranked on the following: Quality and completeness of the narrative, including articulation of the key ...

The new data from the United Nations Development Programme (UNDP), generated through remote sensing analysis (available here ... facilities to optimize the current rice harvest and to get agricultural ...

They envision that these sensors could be deployed for agricultural purposes such as sensing nitrogen or nutrient levels in soil. For those applications, the sensors could also be designed to work ...

A $73 million renovation of Withycombe Hall at Oregon State University aims to energize and expand hands-on learning with new ... dean of the College of Agricultural Sciences, during a tour ...