Massachusetts

ADVANCED TEST AND EVALUATION (T&E) FOR THE EXPONENTIAL PACE OF ARTIFICIAL INTELLIGENCE / MACHINE LEARNING (AI/ML) PROGRESS.

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

ARTIFICIAL INTELLIGENCE REINFORCEMENTS (AIR) PHASE 1

COMMERCIAL SOLUTIONS OPENING FOR RESEARCH AND DEVELOPMENT FOR SYSTEM-WIDE TEST AND EVALUATION (T&E) AND APPLIED ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING (ML), TASK ORDER #1.

GUARANTEEING AI ROBUSTNESS AGAINST DECEPTION (GARD) - DEVELOP A NEW GENERATION OF DEFENSES AGAINST DECEPTION ATTACKS ON MACHINE LEARNING (ML).

DEVELOPMENT, MATURATION, AND INTEGRATION OF TECHNOLOGY FOR ARTIFICIAL INTELLIGENCE (AI)-ASSISTED TARGETING, RAPID FIRES DECONFLICTION, AND DYNAMIC AIRSPACE MANAGEMENT

MACHINE LEARNING FOR INTELLIGENCE COMMUNITY

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.

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

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

873AUTHORITY. SBIR PHASE II SEQUENTIAL AWARD TO SKY PARK LABS LLC, FOR THE RESEARCH OF ADVANCED MACHINE LEARNING FOR MUNITION INSPECTIONS FOR ARMY COMBAT CAPABILITIES DEVELOPMENT COMMAND (DEVCOM) ARMAMENTS CENTER.

ARPA-H O1 SBIR PHASE II - NOVEL TELEHEALTH INSTRUMENTS FOR ASSESSING PEDIATRIC WELL-BEING. PROJECT TITLE: DIGITAL ASSESSMENT OF CHILDREN'S CONDITIONS USING ARTIFICIAL INTELLIGENCE ("DACCS AI")

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

CALIBRATED RELIANCE IN ARTIFICIAL INTELLIGENCE MACHINE LEARNING

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

SMALL BUSINESS INNOVATION RESEARCH PHASE II, TOPIC A224-025: ARTIFICIAL INTELLIGENCE/MACHINE LEARNING. THIS IS A FOLLOW-ON TO PHASE I EFFORT UNDER W5170123C0075.

ARTIFICIAL INTELLIGENCE COMMAND AND CONTROL (AIC2)

MACHINE LEARNING DRIVEN DATA COMPRESSION FOR SPACE WEATHER ENVIRONMENTAL MODEL DATA STORAGE AND DISTRIBUTION

CPFF BAA AWARD FOR COLLABORATIVE ARTIFICIAL INTELLIGENCE TASK EXECUTION ENGINE FOR DISTRIBUTED ELECTRONIC WARFARE (CAITEE-DEW)

DNA-MRNA: DIGITAL TWIN NOVEL ARCHITECTURE STUDY WITH MACHINE LEARNING SBIR PHASE II

DEFENSIVE ANALYSIS AND EXPLORATION IN MACHINE LEARNING

ARTIFICIAL INTELLIGENCE (AI)-ENABLED ULTRA-MINIATURE EARPIECE FOR SLEEP MICROAROUSAL DETECTION AND COGNITIVE PERFORMANCE PREDICTION

NOAA FISHERIES/NORTHEAST FISHERIES SCIENCE CENTER (NEFSC), IMAGE COLLECTION, PROCESSING, AND MACHINE LEARNING TO SUPPORT NORTHEAST ELECTRONIC MONITORING PROGRAMS

ENHANCED EFFICIENCY OF UBC RECYCLING POWERED BY ARTIFICIAL INTELLIGENCE

TOPIC #: A254-006 - LARGE LANGUAGE MODELS FOR SYSTEM SECURITY ENGINEERING ANALYSIS (PHASE I)

META-REINFORCEMENT LEARNING-BASED INTELLIGENT NEUROSYMBOLIC AGENTS FOR STRATEGIC INSIGHT CAPITALIZE ON ONGOING WORK EXPANDING GAME-PLAYING ARTIFICIAL INTELLIGENCE (AI) ALGORITHMS TO BROADER DECISION-MAKING CONTEXTS TO SUPPORT MILITARY PLANNING.

DEVELOPMENT, ENGINEERING, TEST AND CHARACTERIZATION, PROTOTYPING, DEMONSTRATION FOR AN INNOVATIVE POLARIZED MILLIMETER WAVE RADAR TO RECOGNIZE AND LOCATE THREATS, AND SIGNAL/IMAGE PROCESSING USING MACHINE LEARNING

READINESS SPARE PACKAGES PACKING OPERATIONS OPTIMIZATION ARTIFICIAL INTELLIGENCE SUGGESTIONS AND 3D MAPPING

SBIR PHASE I - DEEP MACHINE LEARNING FOR ISOTOPE IDENTIFICATION AND QUANTIFICATION USING ATOM TRAP TRACE ANALYSIS

INVESTIGATE THE FEASIBILITY OF LEVERAGING GENERATIVE ARTIFICIAL INTELLIGENCE (GENAI) TO ENHANCE THE REALISM, ADAPTABILITY AND SCALABILITY OF SCENARIO-BASED TRAINING FOR SPECIAL OPERATIONS COMMAND.

ULTRA-MINIATURE EARPIECE WEARABLE FOR ARTIFICIAL INTELLIGENCE (AI)-ENABLED TRAUMATIC BRAIN INJURY MONITORING

SBIR PHASE I PROPOSAL NO. FX237-PCSO1-0730 - SKYLA: ARTIFICIAL INTELLIGENCE (AI) ENABLED SYSTEM TO CONTROL MULTIPLE SMALL UNMANNED AERIAL SYSTEMS (UAS)

ULTRA-MINIATURE EARPIECE WEARABLE FOR ARTIFICIAL INTELLIGENCE-ENABLED HYPOXIA DETECTION AND PREVENTION IN-FLIGHT

MACHINE LEARNING ALGORITHMS FOR HIGH-RESOLUTION ACOUSTIC SIGNAL IDENTIFICATION

REQUEST FOR NEW TASK ORDER UNDER STREAMS IV TITLED "ANALYZING IMAGERY USING ARTIFICIAL INTELLIGENCE." TOCOR TIM BOE, CO CLARE HINGSBERGEN