California

THE CONTRACTOR SHALL PERFORM RESEARCH, DEVELOPMENT, DESIGN, CONFIGURATION, IMPLEMENTATION, AND TESTING OF MACHINE LEARNING ALGORITHM IN ACCORDANCE WITH THE TASKS OUTLINED IN THEIR PROPOSAL.

ACCELERATED MACHINE LEARNING SOFTWARE

TASK ORDER OFF A COMMERCIAL SOLUTIONS OPENING FOR RESEARCH AND DEVELOPMENT FOR USER CENTERED MACHINE LEARNING (UCML).

LARGE LANGUAGE MODELS

NORTH POLE HUB - DESIGN, VERIFY AND VALIDATE AN ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING (ML) NORTH POLE PLATFORM TECHNOLOGY THAT WILL BE MOUNTED ON TEST BOARDS

A DYNAMIC OPEN SOURCE MACHINE LEARNING SOFTWARE CORPUS FOR DARPA D3M: DATA-DRIVEN DISCOVERY OF MODELS THE CONTRACT IS THE SPONSORING AGREEMENT BETWEEN THE NATIONAL AERONAUTICS AND SPACE ADMINISTRATION (NASA) AND THE CALIFORNIA INSTITUTE OF TECHNOLOGY (CONTRACTOR), A PRIVATE NONPROFIT EDUCATIONAL INSTITUTION, WHICH ESTABLISHES THE RELATIONSHIP FOR THE OPERATION OF THE FEDERALLY FUNDED RESEARCH AND DEVELOPMENT CENTER (FFRDC) KNOWN AS THE JET PROPULSION LABORATORY. THE CONTRACTOR, JPL, IS REQUIRED TO PERFORM WORK THAT IS DESIGNATED IN TASK ORDERS ISSUED BY THE NASA MANAGEMENT OFFICE (NMO) CONTRACTING OFFICERS. NASA - SPONSORED WORK: JPL'S PRIMARY MISSION IS TO SUPPORT THE NASA SCIENCE MISSION DIRECTORATE (SMD) IN CARRYING OUT THE SPECIFIC OBJECTIVES IDENTIFIED IN THE SMD SCIENCE PLAN. THE FOUR BROAD SCIENTIFIC AREAS ARE: EARTH SCIENCE, PLANETARY SCIENCE, HELIOPHYSICS, AND ASTROPHYSICS. IN PERFORMANCE OF THIS CONTRACT, JPL SHALL: 1) SUPPLY A BROAD BASE OF SCIENTIFIC AND TECHNICAL CAPABILITIES RELEVANT TO NASA PROGRAM AND PROJECT RESPONSIBILITIES AND ASSIGNMENTS. 2) FOSTER ITS UNIQUE RELATIONSHIP WITH A TOP-TIER UNIVERSITY TO FACILITATE THE INVOLVEMENT OF SCIENTISTS, ENGINEERS, AND STUDENTS FROM THE UNIVERSITY AND RESEARCH COMMUNITIES IN NASA MISSION AND IN SUPPORTING OTHER GOVERNMENT AGENCIES. 3) SUPPORT NASA IN ENABLING PROGRAM AND INSTITUTIONAL CAPABILITIES. 4) DEVELOP SPACECRAFT AND INSTRUMENTS THAT ARE SENT TO VARIOUS DESTINATIONS WITH OUR SOLAR SYSTEM, INCLUDING EARTH ORBIT, PLANETS, PLANETARY SATELLITES, ASTEROIDS, AND COMETS. THESE MISSIONS MAY BE ORBITERS, LANDERS, OR ROVERS, AND TYPICALLY INCLUDE CUTTING-EDGE TECHNOLOGIES REQUIRED TO MEET SCIENTIFIC REQUIREMENTS. 5) PERFORM PROJECT TASKS INVOLVING: (I) AUTONOMOUS DEEP-SPACE, INNER-SPACE AND EARTH-ORBITING SPACECRAFT OR MAJOR SUBSYSTEMS, (II) EXPERIMENTS, INSTRUMENTS, OR OTHER DEVICES WHICH MAY BE CARRIED AS PAYLOAD ON SPACECRAFTS IN MISSIONS MANAGED BY OTHERS, AND/OR (III) GROUND-BASED SYSTEMS. 6) BEYOND ITS PRIMARY MISSION, JPL MAY PERFORM WORK FOR OTHER NASA MISSION DIRECTORATES OR OFFICES. 7) JPL IS ALSO RESPONSIBLE FOR THE OPERATION, RESEARCH, TECHNOLOGY INSERTION, AND MANAGEMENT OF NASA S DEEP SPACE NETWORK TO PROVIDE TELECOMMUNICATION AND OPERATION SERVICES, INCLUDING DATA ACQUISITION AND DATA DELIVERY REQUIRED TO MEET ESTABLISHED AGENCY OBJECTIVES. 8) JPL IS ALSO REQUIRED TO MAINTAIN AND CONDUCT AN EDUCATION PROGRAM IN CLOSE COORDINATION WITH THE NASA HEADQUARTERS EDUCATION OFFICE, THE ACADEMIC COMMUNITY AT LARGE, AND IN SUPPORT TO NASA STRATEGIC OBJECTIVES TO IMPROVE STUDENT RETENTION IN THE SCIENCE, TECHNOLOGY, ENGINEERING, AND MATHEMATICS (STEM) DISCIPLINES. WORK FOR NON-NASA SPONSORS: JPL MAY PERFORM WORK FOR NON-NASA SPONSORS. THIS WORK WILL BE DESIGNATED IN TASK ORDERS ISSUED BY NMO CONTRACTING OFFICERS BASED ON TASK PLANS INITIATED BY THE CONTRACTOR.

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

FEDERAL ZERO TRUST ARCHITECTURE (ZTA) AND PILOT AND ASSESS FEASIBILITY OF ARTIFICIAL INTELLIGENCE (AI) AND INTELLIGENT DOCUMENT PROCESSING (IDP) FOR THE INJURY COMPENSATION SYSTEM (ICS) 2.0

SCIENCE OF ARTIFICIAL INTELLIGENCE AND LEARNING FOR OPEN-WORLD NOVELTY (SAIL-ON) - BASE (PHASE 1)

SMALL BUSINESS TECHNOLOGY TRANSFER PHASE II - ADAPTIVE/MACHINE LEARNING ELECTRONIC PARACHUTE

BASE YEAR TASK ORDER AWARDED TO SCALE AI UNDER THEIR INDEFINITE DELIVERY INDEFINITE QUANTITY IDIQ FOR EMERGENT IVBAA0001-22 HACKATHON AMENDMENT 15 FOR LARGE LANGUAGE MODELS (LLM) FOR THE DEFENSE LOGISTICS AGENCY (DLA)

DEEP NIGHT VISION MACHINE LEARNING ALGORITHM FOR AUTONOMOUS DRONE SWARM NAVIGATION AND SENSING TO ADDRESS A DEMONSTRATED NEED FOR ADVANCED, AUTONOMOUS UAS NAVIGATI0ON AND SENSING CAPABILITIES IN VERY LOW-LIGHT ENVIRONMENTS.

TOPIC #: A214-048 - MACHINE LEARNING FOR BREACH ROUTING (PHASE II SEQUENTIAL)

SBIR PHASE II: A MACHINE LEARNING-ACCELERATED FRAMEWORK FOR LETHALITY ASSESSMENT OF DIRECTED ENERGY ENGAGEMENTS OF HYPERSONIC THREATS

OFFLINE LEARNING AND COUNTER ARTIFICIAL INTELLIGENCE FOR AUTONOMOUS AIRCRAFT COMBAT OPERATIONS (AACO) TACTICAL FUNDING INCREASE (TACFI)

A FUTURISTIC AGENTIC ARTIFICIAL INTELLIGENCE SYSTEM PURPOSE-BUILT TO PROCESS, FUSE, AND INTERPRET VAST, MULTIMODAL DATA STREAMS CONTINUOUSLY.

IMPROVED WEATHER SENSOR ANALYSIS ALGORITHM VIA MACHINE LEARNING

TEAMMATE AUTONOMY FOR ORBITING SWARMS - RESEARCH AND DEVELOP ARTIFICIAL INTELLIGENCE FOR SWARMING SATELLITES.

ENHANCE THE SOFTWARE TOOLS TO INCLUDE ADVANCE MACHINE LEARNING ALGORITHMS FOR EITHER ACCELERATED THERMO-CHEMISTRY COMPUTATIONS OR FOR THE DEVELOPMENT OF SUB-GRID COMBUSTION MODELS. DEVELOP NEW LES MODELING APPROACHES TO INCLUDE WALL MODELS TO ENHANCE

AUTONOMOUS FAULT MANAGEMENT FOR HYPERSONIC VEHICLES USING ARTIFICIAL INTELLIGENCE/MACHINE LEARNING.

MACHINE LEARNING ALGORITHMS FOR INFRARED SEARCH AND TRACK APPLICATIONS

DEVELOPMENT OF SYSTEM UTILIZING MACHINE LEARNING TO IMPROVE COGNITIVE INTELLIGENCE IN RADAR FUNCTIONALITY.

ARTIFICIAL INTELLIGENCE-DRIVEN CYBER OPERATIONS: AUTOMATED VULNERABILITY DISCOVERY AND WEAPONIZATION

DEDICATED COUNTER UNMANNED AERIAL SYSTEMS OPPOSING FORCES UTILIZING ARTIFICIAL INTELLIGENCE/MACHINE LEARNING: CORTEX

DEVELOP MACHINE LEARNING ALGORITHMS THAT FUSE COLLECTED DATA FROM THE ADVANCED CORRELATOR NAVY WITH THE COOPERATIVE ENGAGEMENT CAPABILITY FOR TESTING AND EVALUATION.

SMALL BUSINESS INNOVATION RESEARCH PHASE II - WEAPONS AUTOMATED ARTIFICIAL INTELLIGENCE PLANNER - VOLUME 2 TECHNICAL VOLUME

A RUGGED TACTICAL PERCEPTION SYSTEM FOR ARTIFICIAL INTELLIGENCE (AI)-DRIVEN CASUALTY REGISTRATION AND MEDICAL SCENE AWARENESS

ARTIFICIAL INTELLIGENCE/MACHINE LEARNING (AI/ML)-BASED DEVELOPMENT FOR MOVING TARGET ENGAGEMENT FROM LOW EARTH ORBIT (LEO) IMAGING SYSTEMS

ARTIFICIAL INTELLIGENCE DRIVEN BIOMETRIC MONITORING FOR ENHANCING WARFIGHTER RESILIENCE AND READINESS

ARTIFICIAL INTELLIGENCE/MACHINE LEARNING FOREIGN LANGUAGE TRANSLATION INTEGRATION WITH AUTOMATIC SPEECH RECOGNITION TECHNOLOGY

AIMBOT ARTIFICIAL INTELLIGENCE MANEUVER AND BATTLESPACE OPTIMIZED TARGETING

COMBAT: COMPLEX EMITTER BEHAVIOR TRACKING WITH MACHINE LEARNING

FAST AND ACCURATE QUALITY INSPECTION USING ARTIFICIAL INTELLIGENCE AND EXTENDED REALITY.

BUILDING ARTIFICIAL INTELLIGENCE POWERED COMPETENCY ASSESSMENT AND CAREER MANAGEMENT TOOLS FOR THE AIR FORCES ENGINEERING AND TECHNICAL WORKFORCE

ADVANCED ARTIFICIAL INTELLIGENCE-BASED AUTOMATIC REDACTION SOFTWARE

HIGH PERFORMANCE, ARTIFICIAL INTELLIGENCE-ENABLED, RADIATION HARD, SPACE COMPUTING PLATFORM FOR TRUSTED AUTONOMY

ROBUST ARTIFICIAL INTELLIGENCE FOR SEARCH AND RESCUE (RAISR)

MEDSCRIBE DEFENSE - GENERATIVE ARTIFICIAL INTELLIGENCE (GENAI) AMBIENT MEDICAL SCRIBE SUPPORTING AIR FORCE MEDICAL READINESS EXAMS AND SCREENINGS

ARTIFICIAL INTELLIGENCE ENHANCED ADAPTIVE RISK ANALYTICS AND AUTOMATED BRIEFING PRODUCT FOR MILITARY AND COMMERCIAL AVIATION

WARROOM: ARTIFICIAL INTELLIGENCE (AI) - ENHANCED DIGITAL MISSION REHEARSAL AND OPERATIONAL PLANNING PLATFORM

SHARING MACHINE LEARNING MODELS AT THE EDGE WITH THE FRONTLINE PERCEPTION SYSTEM (FPS)

RELIABLE AND SCALABLE DYNAMIC ENVIRONMENT PERCEPTION WITH ARTIFICIAL INTELLIGENCE

BENCHMARKING DATA ANALYTICS, ARTIFICIAL INTELLIGENCE (AI) AND OPERATIONS RESEARCH SKILLS TO WORLD-CLASS STANDARDS AND CUSTOMIZING SOURCE-AGNOSTIC LEARNING PATHS

PHYSIOLOGICAL ENHANCED READINESS AND FITNESS OPTIMIZATION MONITOR AND ARTIFICIAL INTELLIGENCE (PERFORM-AI)

ARTIFICIAL INTELLIGENCE FOR AIR OPERATIONS CENTER TARGETING, AIR TASKING ORDERS, AND BATTLE RHYTHM PLANNING

REVOLUTIONIZING AIRCRAFT SURVIVABILITY ANALYSIS WITH ARTIFICIAL INTELLIGENCE-DRIVEN DATA EXTRACTION

ARTIFICIAL INTELLIGENCE-ENHANCED PROCUREMENT FOR RAPID DEPLOYMENT OF DEFENSE TECHNOLOGIES AND FEDERAL AQUISITION REGULATION/DEFENSE FEDERAL AQUISITION REGULATION SUPPLEMENT COMPLIANCE

APPLICATION OF COMPACTION, ARTIFICIAL INTELLIGENCE AND VIDEO COMPRESSION ALGORITHMS TO SYNTHETIC APERTURE RADAR IMAGES

A PLATFORM FOR MISSION ADAPTIVE ARTIFICIAL INTELLIGENCE FOR NETWORKS OF AUTONOMOUS SYSTEMS IN CONTESTED ENVIRONMENTS

ADVANCED LARGE LANGUAGE MODEL (LLM) EVALUATION AND DEVELOPMENT TOOLING FOR STRATEGIC UNITED STATES AIR FORCE (USAF) ARTIFICIAL INTELLIGENCE (AI) INTEGRATION - AIR FORCE RESEARCH LABORATORY (AFRL) NIPRGPT

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING SYSTEM FIR DIRECTED ENERGY (AIMSDE)

TO ACCELERATE ARTIFICIAL INTELLIGENCE/MACHINE LEARNING (AI/ML) TO PREPARE FOR PROLIFERATED MISSILE WARNING (MW) / MISSILE TRACKING (MT) / MISSILE DEFENSE (MD) ARCHITECTURE GENERATING OPIR DATA.

ARTIFICIAL INTELLIGENCE/MACHINE LEARNING TRUST ANALYSIS (AITRUST)

ARTIFICIAL INTELLIGENCE WORKSTATION AND MIXED REALITY F-16 SIMULATOR

FOLLOW-ON SBIR PHASE III CONTRACT IAW PHASE II TECHNICAL PROPOSE F2-13290 - PRPS RPA PRODUCT DELIVERY - ARTIFICIAL INTELLIGENCE/MACHINE LEARNING DUAL USE TECHNOLOGIES - TURBO PR

VETERANS INTEGRATED SERVICE NETWORK (VISN) 21 RADIOLOGY ARTIFICIAL INTELLIGENCE (AI) PLATFORM

PHASE II - MODULAR ARTIFICIAL INTELLIGENCE FOR FAULTS: LOCAL ONLINE WATCH AND EFFICIENT RESPONSE

MULTISPECTRAL AUTOMATED ROLLER AND BALL BEARING INSPECTION SYSTEM USING MACHINE LEARNING

FITNESS TEST OPTIMIZATION WITH ARTIFICIAL INTELLIGENCE

ARTIFICIAL INTELLIGENCE SMART CONTRACTING INITIATIVE PILOT

APPLICATION OF JPL MACHINE LEARNING TECHNIQUES TO CHEVRON PROBLEMS IN ALARM, EVENT, AND PROCESS MANAGEMENT THE CONTRACT IS THE SPONSORING AGREEMENT BETWEEN THE NATIONAL AERONAUTICS AND SPACE ADMINISTRATION (NASA) AND THE CALIFORNIA INSTITUTE OF TECHNOLOGY (CONTRACTOR), A PRIVATE NONPROFIT EDUCATIONAL INSTITUTION, WHICH ESTABLISHES THE RELATIONSHIP FOR THE OPERATION OF THE FEDERALLY FUNDED RESEARCH AND DEVELOPMENT CENTER (FFRDC) KNOWN AS THE JET PROPULSION LABORATORY. THE CONTRACTOR, JPL, IS REQUIRED TO PERFORM WORK THAT IS DESIGNATED IN TASK ORDERS ISSUED BY THE NASA MANAGEMENT OFFICE (NMO) CONTRACTING OFFICERS. NASA - SPONSORED WORK: JPL'S PRIMARY MISSION IS TO SUPPORT THE NASA SCIENCE MISSION DIRECTORATE (SMD) IN CARRYING OUT THE SPECIFIC OBJECTIVES IDENTIFIED IN THE SMD SCIENCE PLAN. THE FOUR BROAD SCIENTIFIC AREAS ARE: EARTH SCIENCE, PLANETARY SCIENCE, HELIOPHYSICS, AND ASTROPHYSICS. IN PERFORMANCE OF THIS CONTRACT, JPL SHALL: 1) SUPPLY A BROAD BASE OF SCIENTIFIC AND TECHNICAL CAPABILITIES RELEVANT TO NASA PROGRAM AND PROJECT RESPONSIBILITIES AND ASSIGNMENTS. 2) FOSTER ITS UNIQUE RELATIONSHIP WITH A TOP-TIER UNIVERSITY TO FACILITATE THE INVOLVEMENT OF SCIENTISTS, ENGINEERS, AND STUDENTS FROM THE UNIVERSITY AND RESEARCH COMMUNITIES IN NASA MISSION AND IN SUPPORTING OTHER GOVERNMENT AGENCIES. 3) SUPPORT NASA IN ENABLING PROGRAM AND INSTITUTIONAL CAPABILITIES. 4) DEVELOP SPACECRAFT AND INSTRUMENTS THAT ARE SENT TO VARIOUS DESTINATIONS WITH OUR SOLAR SYSTEM, INCLUDING EARTH ORBIT, PLANETS, PLANETARY SATELLITES, ASTEROIDS, AND COMETS. THESE MISSIONS MAY BE ORBITERS, LANDERS, OR ROVERS, AND TYPICALLY INCLUDE CUTTING-EDGE TECHNOLOGIES REQUIRED TO MEET SCIENTIFIC REQUIREMENTS. 5) PERFORM PROJECT TASKS INVOLVING: (I) AUTONOMOUS DEEP-SPACE, INNER-SPACE AND EARTH-ORBITING SPACECRAFT OR MAJOR SUBSYSTEMS, (II) EXPERIMENTS, INSTRUMENTS, OR OTHER DEVICES WHICH MAY BE CARRIED AS PAYLOAD ON SPACECRAFTS IN MISSIONS MANAGED BY OTHERS, AND/OR (III) GROUND-BASED SYSTEMS. 6) BEYOND ITS PRIMARY MISSION, JPL MAY PERFORM WORK FOR OTHER NASA MISSION DIRECTORATES OR OFFICES. 7) JPL IS ALSO RESPONSIBLE FOR THE OPERATION, RESEARCH, TECHNOLOGY INSERTION, AND MANAGEMENT OF NASA S DEEP SPACE NETWORK TO PROVIDE TELECOMMUNICATION AND OPERATION SERVICES, INCLUDING DATA ACQUISITION AND DATA DELIVERY REQUIRED TO MEET ESTABLISHED AGENCY OBJECTIVES. 8) JPL IS ALSO REQUIRED TO MAINTAIN AND CONDUCT AN EDUCATION PROGRAM IN CLOSE COORDINATION WITH THE NASA HEADQUARTERS EDUCATION OFFICE, THE ACADEMIC COMMUNITY AT LARGE, AND IN SUPPORT TO NASA STRATEGIC OBJECTIVES TO IMPROVE STUDENT RETENTION IN THE SCIENCE, TECHNOLOGY, ENGINEERING, AND MATHEMATICS (STEM) DISCIPLINES. WORK FOR NON-NASA SPONSORS: JPL MAY PERFORM WORK FOR NON-NASA SPONSORS. THIS WORK WILL BE DESIGNATED IN TASK ORDERS ISSUED BY NMO CONTRACTING OFFICERS BASED ON TASK PLANS INITIATED BY THE CONTRACTOR.

SBIR FAST TRACK ADVANCING MULTIMODAL INCLUSION AND GENERATIVE ADAPTATION ON ENHANCING AUGMENTATIVE AND ALTERNATIVE COMMUNICATION (AMIGA-AAC) FOR PEOPLE WITH AUTISM USING LARGE LANGUAGE MODELS

FLIGHT TEST MODERNIZATION USING ARTIFICIAL INTELLIGENCE

DYNAMIC EVALUATION OF LEADERSHIP THINKING ARCHITECTURES USING LARGE LANGUAGE MODELS (DELTA-LLM)

LAMA: LOCALIZATION AND MAPPING ARTIFICIAL INTELLIGENCE APPLICATION

DISTRIBUTED SENSING WITH ARTIFICIAL INTELLIGENCE (DSAI) (97-210236)

UNIVERSITY AFFILIATED RESEARCH CONTRACT - RESEARCH AND DEVELOPMENT IN MODELING AND SIMULATION - TOWARDS TACTICAL ARTIFICIAL INTELLIGENCE MODELS FOR LARGE SCALE COMBAT OPERATIONS (TACTICAI)

THE PRIMARY OBJECTIVE OF THE PROPOSED PHASE I WORK IS TO FURTHER DEVELOP A PROOF-OF-CONCEPT (POC) MACHINE LEARNING APPROACH TO DETECT ILLEGAL OPIOID SELLERS AND DEVELOP IT INTO AN MVP THAT CAN COLLECT INFORMATION ON, AS WELL AS IDENTIFY, CATEGORI

ARTIFICIAL INTELLIGENCE/MACHINE LEARNING

EXIGER DUE-DILIGENCE ARTIFICIAL INTELLIGENCE WEB-BASED ANALYTIC TOOL SUBSCRIPTION

INTELLISENSE SYSTEMS INC. OBJECTIVE IS TO DEVELOP A NEW MULTIPLEX AGENT/CHEMICAL IDENTIFICATION DETECTOR BASED ON THE COMBINATION OF AN INFRARED CAVITY RING-DOWN SPECTROSCOPY TECHNIQUE AND ADVANCED ARTIFICIAL INTELLIGENCE/MACHINE LEARNING ALGORITHMS.

GENERATING OPTIMIZED READINESS SPARES PACKAGES LOADING PLANS USING MODERN ARTIFICIAL INTELLIGENCE-BASED CONSTRAINT SOLVERS

MACHINE LEARNING ALGORITHMS FOR INFRARED SEARCH AND TRACK APPLICATIONS

DATAVOLUME INTRINSIC CHARACTERISTICS EVALUATION TO GAUGE ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING ENHANCEMENTS. OBJECTIVE FOCUS ON DOMAIN SPACE SITUATIONAL AWARENESS AND SPACE DOMAIN AWARENESS WHICH DOMAIN DATA AND DOMAIN EXPERTISE ARE AVAILABLE.

SMALL BUSINESS INNOVATION RESEARCH PHASE I - USING GENERATIVE LARGE LANGUAGE MODELS TO EXTRACT PATHWAYS FROM THE SCIENTIFIC LITERATURE

FLIGHT TEST MODERNIZATION USING ARTIFICIAL INTELLIGENCE

INVESTIGATE THE FEASIBILITY OF LEVERAGING GENERATIVE ARTIFICIAL INTELLIGENCE (GENAI) TO ACCELERATE AND IMPROVE THE ACCURACY OF INTELLIGENCE ANALYSIS FROM COMPLEX, MULTI-FORMAT SOURCE DOCUMENTS.

SBIR/STTR PHASE I RESEARCH & DEVELOPMENT ARTIFICIAL INTELLIGENCE/MACHINE LEARNING (AI/ML) BATTLE MANAGEMENT FOR RAPID, INTERACTIVE WEAPON SELECTION

ATAC CORPORATION IMPROVED NATIONAL ENVIRONMENTAL POLICY ACT (NEPA) PROCESSES USING ARTIFICIAL INTELLIGENCE/MACHINE LEARNING (AI/ML)

MIGHTYFP - AN ARTIFICIAL INTELLIGENCE (AI) CHIP ACCELERATOR TO ENHANCE BOARDROOM AND BATTLEFIELD AI PROGRAMS

TRAVERSE3D 3D SPATIAL INTELLIGENCE USING LARGE LANGUAGE MODELS FOR ISR

MACHINE LEARNING FOR MONOCAM GLOBAL POSITIONING SYSTEM-DENIED VISION AUTONOMY

ARTIFICIAL INTELLIGENCE-DRIVEN TOOL FOR AUTONOMOUS ADVANCED MATERIAL TESTING AND DEVELOPMENT

POWERING PERSISTENT LOGISTICS: ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING -ENABLED SCHEDULING OPTIMIZATION IN SUPPORT OF AGILE COMBAT EMPLOYMENT

ROBUST DYNAMIC ENVIRONMENT SENSING FOR AUTONOMOUS ROBOTS WITH ARTIFICIAL INTELLIGENCE DRIVEN FOUR-DIMENSIONAL IMAGING RADARS

CORTEX: ARTIFICIAL INTELLIGENCE (AI)/MACHINE LEARNING (ML) FOR TACTICAL EDGE EMBODIED AI

FX23E-TPCSO1-0075 - OPTIMIZING FIGHTER PILOT SPINE HEALTH WITH MACHINE LEARNING

RAPID DATA LABELING TO FUEL DOMAIN SPECIFIC LARGE LANGUAGE MODELS WITH HIGH PRECISION

JPL SUPPORT FOR ARTIFICIAL INTELLIGENCE IN HELIOPHYSICS (70-223756)

LAMA: LOCALIZATION AND MAPPING ARTIFICIAL INTELLIGENCE APPLICATION

PROPOSAL TITLED, LEVERAGING SCENARIO GENERATION FOR REINFORCEMENT LEARNING VIA LARGE LANGUAGE MODELS, RL SIM GENERATION

EXIGER DUE-DILIGENCE ARTIFICIAL INTELLIGENCE WEB-BASED ANALYTIC TOOL, DDIQ

VECTOR PRO MACHINE LEARNING WORKSTATION. QTY: 1 (SEWP) MERCURY GPU224 2U SERVER, QTY: 1 (SEWP) 16-INCH MACBOOK PRO M3 MAX, 128GB UNIFIED MEMORY, QTY: 2 MAC STUDIO M2 ULTRA, 192 GB UNIFIED MEMORY, QTY: 1

INTELLIGENT ARTIFICIAL INTELLIGENCE SOFTWARE WITH PREDICTIVE, PREVENTATIVE AND PROACTIVE MAINTENANCE

ARTIFICIAL INTELLIGENCE FOR ADAPTIVE 3D RECONSTRUCTION IN AIR FORCE CIVIL ENGINEERING

SBIR PHASE I FX245-PCSO2-0171- ENHANCING CYBERSECURITY AT THE TACTICAL EDGE WITH THIRD-WAVE ARTIFICIAL INTELLIGENCE

ARTIFICIAL INTELLIGENCE POWERED LARGE LANGUAGE MODEL FOR VIRTUAL SCENARIO GENERATION

NEURON: MESH NETWORK FOR TACTICAL EDGE EMBODIED ARTIFICIAL INTELLIGENCE

ENHANCING EN-ROUTE CARE FOR WARFIGHTERS WITH AN ARTIFICIAL INTELLIGENCE ENABLED WEARABLE ULTRASOUND BLOOD FLOW MONITOR

REFACTOR RAPTOR: MEMORY SAFETY, CYBERSECURITY, OPERATIONAL ENHANCEMENT, AND SOFTWARE COMPREHENSION FROM GENERATIVE ARTIFICIAL INTELLIGENCE

ARTIFICIAL INTELLIGENCE PHYSICAL THERAPY APP FOR AIRMEN

REVOLUTIONIZING NATIONAL SPACE INTELLIGENCE CENTERS INTELLIGENCE ANALYSIS WITH GENERATIVE ARTIFICIAL INTELLIGENCE-POWERED NATURAL LANGUAGE SEARCH

EMPOWERING AIR FORCE WITH LARGE LANGUAGE MODEL-POWERED AGENTIC RETRIEVAL-AUGMENTED GENERATION

EMPOWERING AIR FORCE WITH LARGE LANGUAGE MODEL-POWERED RETRIEVAL AUGMENTED GENERATION

STREAMLINING ACQUISITION OPERATIONS WITH GENERATIVE ARTIFICIAL INTELLIGENCE-POWERED NATURAL LANGUAGE SEARCH

YURTS LARGE LANGUAGE MODELS FOR INTELLIGENCE