Researchers from Kyoto University in Japan have developed an advanced method using a vision transformer deep learning model to automatically detect global methane emissions. This technique utilizes novel multispectral satellite imagery to significantly improve the accuracy and frequency of methane detection on a global scale. The study, published in Nature Communications, presents a groundbreaking approach to monitoring methane emissions worldwide.
Full Article
Arrest of South Korea’s former spy chief sheds light on martial law conspiracy
South Korean authorities arrested retired military intelligence commander Noh Sang-won for his alleged role in President Yoon Suk-yeol's failed attempt to impose martial law, revealing a network of loyalists involved in the self-coup. Noh, former head of the Defence Intelligence Command, was taken into custody after refusing to attend a court hearing on evidence tampering and fleeing charges. Opposition lawmakers claim Noh assisted Defence Minister Kim Yong-hyun in drafting the martial law decree, which was...
Read more