Deep Space

Deep space research encompasses a broad range of scientific inquiries, primarily focused on understanding and utilizing vast datasets from various sources, including satellite imagery, sensor readings, and astronaut photography. Current research heavily employs machine learning, particularly convolutional neural networks and transformers, to analyze these datasets for tasks like object detection, classification, and regression, often within specialized embedding spaces to improve efficiency and accuracy. These advancements are crucial for improving Earth observation, enabling more effective climate change mitigation (e.g., methane detection), optimizing resource management (e.g., aquaculture monitoring), and enhancing the efficiency and safety of space exploration.