Scope:   The Artificial Intelligence and Machine Learning for Synthetic Apertures (MLSA) Project Authorization Request (PAR) Study Group (SG) is tasked with identifying and recommending to the Synthetic Aperture Standards Committee (SASC) the artificial intelligence, machine learning, or deep learning technical standards, best practices, or guides that may benefit the object detection/classification or image formation functions in synthetic aperture systems. These systems may be used in radar, sonar, channel sounding, medical imaging, optics, quantum sensing, or radiometry. The MLSA-SG shall pursue three parallel tracks of analysis. The first track considers the use of machine learning for computing images from synthetic aperture measurements. The second track relates to detecting and classifying objects after an image has been created. The third track relates to improving virtual array configurations to optimize image quality and registration.