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

Scientists from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences, in collaboration with ...

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 ...

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 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 ...

Abstract: Semisupervised few-shot learning aims to alleviate the issue of insufficient labeled data with additional unlabeled samples. As for remote sensing images, complex contextual information ...

Indigenous communities in Kenya and Ecuador have access to machine learning technology to help combat human-wildlife conflict and climate change thanks in part to a new partnership that includes RIT.