National Aeronautics and Space Administration

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.

SBIR PHASE II - SATELLITE COLLISION AND RISK ASSESSMENT USING MACHINE LEARNING (SCRAM)

PHASE II, EXPLAINABLE ARTIFICIAL INTELLIGENCE (XAI) FOR AIR TRAFFIC MANAGEMENT

SBIR PHASE II, RAPID DATA ANALYTICS PLATFORM USING MACHINE LEARNING

PHASE II SBIR - 80NSSC25C0036 NVASIVE: AN AI AND MACHINE LEARNING APPROACH FOR METASTASIS PREDICTION USING NVASIVE AND MICROGRAVITY

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

SBIR PHASE II ESTIMATING GROUNDWATER DYNAMICS FROM ARTIFICIAL INTELLIGENCE AND INSAR

THE SCOPE OF THIS PROJECT IS TO INVESTIGATE, DEVELOP, AND TRAIN A MACHINE LEARNING MODEL BACKED BY AI AND ADAPTIVE LEARNING TECHNOLOGIES TO EVALUATE PAST AND PRESENT INFORMATION REQUIRED FOR STRATEGIC AND TACTICAL AIR TRAFFIC FLOW MANAGEMENT.

FY23 STTR PHASE II - MACHINE LEARNING EXPLAINABILITY AND UNCERTAINTY QUANTIFICATION TO SUPPORT CALIBRATION OF TRUST IN AUTOMATED SYSTEMS

IT HAS BEEN WIDELY RECEIVED THAT THE RECENT SUCCESS OF ARTIFICIAL INTELLIGENCE AI IS BUILT ON THREE CORNERSTONES THE ADVANCE OF ALGORITHMS THE ACQUISITION OF BIG DATA AND THE AVAILABILITY OF HIGH COMPUTING POWER TO FURTHER IMPROVE THE DATA

SET2 TO 37 AI THE CONTRACTOR SHALL WORK WITH THE GOVERNMENT TO SUPPORT THE NASA IV&V PROGRAMS ARTIFICIAL INTELLIGENCE INITIATIVES AS DESCRIBED IN THE SOW.

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.

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

SBIR I MACHINE LEARNING-AUGMENTED FAR-FIELD NOISE PREDICTION FOR DISTRIBUTED ELECTRIC PROPULSION AIRCRAFT

SBIR I PLANT HEALTH MONITORING WITH MULTIMODE IMAGING AND ARTIFICIAL INTELLIGENCE

FY23 SBIR PHASE I - RAPID DATA ANALYTICS PLATFORM USING MACHINE LEARNING

SBIR I FLIGHT COMPUTER FOR ARTIFICIAL INTELLIGENCE AND AUTONOMY

SBIR I ADAPTIVE AND SECURE AUTONOMY FOR UAS: A MODULAR APPROACH TO FLIGHT CONTROL MACHINE LEARNING INTEGRATION AND MULTI-VEHICLE COORDINATION

SBIR PHASE I - ARTIFICIAL INTELLIGENCE FOR SPACECRAFT THERMAL CONTROL SYSTEMS

FY24 SBIR PHASE I- RADIATION HARDENED POWER EFFICIENT ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING (AIML) PROCESSOR

SBIR I ENABLING MATERIAL DESIGN WITHIN SYSTEM-LEVEL OPTIMIZATION VIA MACHINE LEARNING

FY24 SBIR PHASE I- COPROCESSORS FOR DIGITAL SIGNAL PROCESSING (DSP) AND ARTIFICIAL INTELLIGENCE (AI)

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

DEVELOPMENT OF A MACHINE LEARNING USE CASE FOR AIRCRAFT ENGINE HEALTH ASSESSMENT