RTX BBN TECHNOLOGIES, INC. vs PERATON LABS INC

FAST NETWORK INTERFACE CARDS (FASTNICS) PROGRAM WILL SPEED UP APPLICATIONS LIKE DISTRIBUTED TRAINING OF MACHINE LEARNING CLASSIFIERS BY100X THROUGH DEVELOPMENT, IMPLEMENTATION

THE SCIENCE OF ARTIFICIAL INTELLIGENCE AND LEARNING FOR OPEN-WORLD NOVELTY (SAIL-ON) PROGRAM INTENDS TO RESEARCH AND DEVELOP THE UNDERLYING SCIENTIFIC PRINCIPLES, GENERAL ENGINEERING TECHNIQUES, AND ALGORITHMS NEEDED TO CREATE AI SYSTEMS.

EO14042 PERCEPTUALLY-ENABLED TASK GUIDANCE (PTG)- DEVELOP ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES TO HELP USERS PERFORM COMPLEX PHYSICAL TASKS

COMPETENCY-AWARE MACHINE LEARNING (CAML). THE CAML PROGRAM PROPOSES TO IMPROVE HUMAN-MACHINE TEAMING AND REALIZATION OF THE TASK SYNERGIES EXPECTED OF AUTONOMOUS SYSTEMS.

DEFENSIVE ANALYSIS AND EXPLORATION IN MACHINE LEARNING

FAST NETWORK INTERFACE CARDS (FASTNICS) PROGRAM WILL SPEED UP APPLICATIONS LIKE DISTRIBUTED TRAINING OF MACHINE LEARNING CLASSIFIERS BY 100X THROUGH DEVELOPMENT, IMPLEMENTATION, INTEGRATION, AND VALIDATION OF NOVEL, CLEAN-SLATE NETWORK SUBSYSTEMS.

MACHINE LEARNING AND OPTIMIZATION-GUIDED COMPILERS FOR HETEROGENEOUS ARCHITECTURES (MOCHA)

CYCLIC ARTIFICIAL INTELLIGENCE TO RECOVER NETWORK SCENARIOS (CAIRNS)