THE JOHNS HOPKINS UNIVERSITY APPLIED PHYSICS LABORATORY LLC

PAALE ALE WILL INVESTIGATE APPROACHES TO INTEGRATE, TEST, AND EVALUATE AI INCLUDING NEURAL NETWORK MACHINE LEARNING AT SPEEDS FASTER THAN REAL TIME AND PROBABILITY BASED SOLUTIONS IAW THE GOVERNMENTS MODULAR OPEN SYSTEMS APPROACH PRINCIPLES

COMPOSITIONAL LEARNING-AND-REASONING FOR ARTIFICIAL INTELLIGENCE COMPLEX SYSTEMS ENGINEERING (CLARA) EFFORT UNDER THE JOHNS HOPKINS UNIVERSITY (JHU)/ APPLIED PHYSICS LABORATORY (APL) UNIVERSITY AFFILIATE RESEARCH CENTER (UARC) SUPPORT SERVICES

CYBER ANOMALY DETECTION THROUGH MACHINE LEARNING