The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.

A South Korean renewable energy company, GivenTech, has entered the Ghanaian market with a US$3 million agreement to supply ...

US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...

Frederick University and Electi Consulting Ltd have successfully completed the technical implementation of the DYNAMO ...

When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found ...

In the spirit of festive season and community empowerment, itel has once again demonstrated its commitment to enriching lives ...

Seeking to widen access to curriculum-aligned instruction, the Department of Education (DepEd) will soft-launch DepEd TV through a partnership with ...

US researchers say a deep-learning framework provides the most detailed picture yet of how utility-scale solar uses land, revealing unexpected efficiency gaps and clearer pathways for agrivoltaics and ...

With such increased predictive knowledge of solar systems, these anomaly detectors can significantly reduce costs of O&M, a ...

Two-dimensional (2D) materials and nanomaterials have emerged as transformative candidates for next-generation photovoltaic (PV) and solar energy conversion ...

All the co-founders graduated in 2017 and chose to start Exeliq instead of taking jobs. They had worked together in college ...

In Thong Nguyen commune, Tuyen Quang province, two kindergartens in Lang Cang and Lung Ly villages, despite being built in 2018 and 2020, have never been connected to the national power grid. The ...