Government Contract Award Search - Machine Learning | Federal Compass

Government Contract Award Search - Machine Learning

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1 - 20 of 1,033
9523ZY23C0008 - ARTIFICIAL INTELLIGENCE/MACHINE LEARNING INITIATIVE
Definitive Contract - 541511 Custom Computer Programming Services
Contractor
SOHUM SYSTEMS LLC
Contracting Agency/Office
Commodity Futures Trading Commission
Effective date
03/09/2023
Obligated Amount
$520.9k
80NSSC23K0523 - E014042- MACHINE LEARNING SUPER-RESOLUTION FOR ATMOSPHERIC CHEMISTRY IN THE NASA GEOS MODEL
Grant for Research
Contractor
University of Southern California (UNIVERSITY OF SOUTHERN CALIFORNIA)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
03/07/2023
Obligated Amount
$192.1k
80NSSC23K0500 - MACHINE LEARNING BASED FLASH FLOOD FORECASTING IN WEST AFRICA WITH SATELLITE.OBSERVATIONS
Grant for Research
Contractor
RUTGERS STATE UNIV NEW BRUNS (RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
03/07/2023
Obligated Amount
$238.7k
80NSSC23K0556 - THE PROPOSED UAS IS BASED ON THE QUADPLANE ARCHITECTURAL CONCEPT, COMBINING MULTIROTOR AND FIXED-WING UAS TO PROVIDE THE BEST OF BOTH VEHICLES STRENGTHS. IT USES THE MULTIROTOR VERTICAL TAKEOFF AND LANDING CAPABILITY AND FIXED-WING EFFICIENCY FOR NAVIGATION AND CRUISE FLIGHT. THIS WILL RESULT IN A COST-EFFECTIVE UAS, WITH A REDUCED DEPLOYMENT TIME OF 5 MINUTES, AND AN ENHANCED FLIGHT DURATION OF 1 HOUR, AND INCREASED EFFICIENCY. THE MAIN APPLICATION ENVISIONED WITH THE QUADPLANE IS TO USE IT IN SEARCH AND RESCUE MISSIONS THAT WILL AID FIRST RESPONDERS IN RAPIDLY LOCATING MISSING INDIVIDUALS IN DENSE FORESTED AREAS. TO ENSURE QUICK DETECTION AND ACCURATE TARGET REGION LOCALIZATION, WE AIM TO CONDUCT THE SEARCH OPERATION IN TWO PHASES. IN THE FIRST PHASE, THE UNMANNED AERIAL SYSTEMS (UAS) USES A FAST-CREEPING LINE SEARCH AND THERMAL CAMERA DETECTION TO RAPIDLY IDENTIFY THE TARGET REGION OF THE MISSING INDIVIDUAL(S). ONCE THE TARGET ZONE IS IDENTIFIED, THE UAS USES A LOITER SURVEY PATTERN IN COMBINATION WITH IMAGE-BASED RECOGNITION TO PRECISELY LOCATE THE IDENTIFIED INDIVIDUAL(S). BECAUSE TREES BLOCK THE VIEW OF CONVENTIONAL CAMERAS, A THERMAL CAMERA WILL BE UTILIZED INSTEAD. EVEN WHEN USING A THERMAL CAMERA, THE HEAT REFLECTED BY BRANCHES AND TREE CROWNS APPEARS TO BE SIMILAR TO THAT OF THE HUMAN BODY. TO IDENTIFY INDIVIDUALS IN THE CAPTURED THERMAL IMAGE, A MACHINE LEARNING OBJECT IDENTIFICATION MODEL WILL BE USED. A MOBILE CHARGING STATION WILL BE DEPLOYED TO REFILL OR REPLACE THE UAS'S BATTERY SO THE SEARCH COULD CONTINUE UNINTERRUPTED.
Grant for Research
Contractor
NORTH CAROLINA A&T STATE U (NORTH CAROLINA AGRICULTURAL AND TECHNICAL STATE UNIVERSITY)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
03/06/2023
Obligated Amount
$78.8k
31310023P0005 - USE MACHINE LEARNING TO PRIORITIZE INSPECTIONS
Purchase Order - 541715 Research and Development in the Physical, Engineering, and Life Sciences
Contractor
SPHERE OF INFLUENCE, INC (SPHERE OF INFLUENCE, INC.)
Contracting Agency/Office
Nuclear Regulatory Commission (NRC)
Effective date
03/02/2023
Obligated Amount
$137.5k
36C24123P0403 - ICU MEDICAL CADD SOLIS PUMP RENTAL (15 PER MONTH FOR 5 YEARS)
Purchase Order - 334510 Electromedical and Electrotherapeutic Apparatus Manufacturing
Contractor
INFUSYSTEM, INC.
Contracting Agency/Office
Veterans Affairs»Veterans Health Administration»VHA Medical Centers»VISN 1 - New England Health Care System
Effective date
03/01/2023
Obligated Amount
$24.8k
75N91023C00007 - EO 14042 SBIR TOPIC 425 PHASE I: POSTURE ANALYSIS THROUGH MACHINE LEARNING (PATHML)
Definitive Contract - 541715 Research and Development in the Physical, Engineering, and Life Sciences
Contractor
GENOMIC EXPRESSION INC
Contracting Agency/Office
Health and Human Services»National Institutes of Health»National Cancer Institute
Effective date
02/28/2023
Obligated Amount
$300k
75N91023C00006 - EO 14042 SBIR TOPIC 425 PHASE I: POSTURE ANALYSIS THROUGH MACHINE LEARNING (PATHML)
Definitive Contract - 541715 Research and Development in the Physical, Engineering, and Life Sciences
Contractor
COLUMBUS NANOWORKS, INC.
Contracting Agency/Office
Health and Human Services»National Institutes of Health»National Cancer Institute
Effective date
02/27/2023
Obligated Amount
$300k
80NSSC23K0537 - THIS PROPOSAL DIRECTLY ADDRESSES THE FIRST COMPONENT OF THE NASA LCLUC ANNOUNCEMENT: IDENTIFYING HOTPOT AREAS USING MULTI-SOURCE DATA APPROACHES TO QUANTIFY LAND-COVER AND LAND-USE CHANGES (LCLUCS) INCLUDING THE EXPANSION, INTENSIFICATION, AND ABANDONMENT OF CROPLANDS AND RANGELANDS. WE WILL LEVERAGE MACHINE LEARNING ALGORITHMS TO DEVELOP NOVEL DATA SETS OF LCLUC AND LAND USE TRANSITIONS (LUTS) WITH OUR ULTIMATE GOAL BEING TO INTEGRATE SOCIOECONOMIC AND ENVIRONMENTAL DATASETS TO BETTER UNDERSTAND FARMERS DECISION MAKING UNDER A CHANGING CLIMATE IN A CRITICALLY ENDANGERED GLOBAL BREADBASKET. BELOW WE DETAIL THE KEY OBJECTIVES, METHODS, AND SIGNIFICANCE OF THE WORK. THE PROJECT PERSONNEL, WHICH INCLUDE SOCIAL AND NATURAL SCIENTISTS, HAVE A PROVEN HISTORY OF PRODUCING DEEPLY INTEGRATED WORK ON ENVIRONMENT AND SOCIOECONOMICS. GALFORD, FISHER, SPERA, MACEDO AND RATTIS HAVE A COMBINED EXPERIENCE OF > 4 DECADES WORKING ON BRAZILIAN LAND-USE DEVELOPMENT, INCLUDING GENERATING NOVEL LCLUC DATASETS APPLYING STATISTICAL, EMPIRICAL AND PROCESS-BASED MODELS ANALYZING SOCIOECONOMIC DATA AND SURVEYS AND COLLABORATING WITH RESEARCHERS AND STUDENTS.
Grant for Research
Contractor
UNIV VERMONT (UNIVERSITY OF VERMONT & STATE AGRICULTURAL COLLEGE)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
02/24/2023
Obligated Amount
$237.7k
36C25923P0462 - BI DIRECTIONAL RADIO AMPLIFIER SYSTEM
Purchase Order - 334220 Radio and Television Broadcasting and Wireless Communications Equipment Manufacturing
Contractor
FOX PARTNERS LLC
Contracting Agency/Office
Veterans Affairs»Veterans Health Administration»VHA Medical Centers»VISN 19 - Rocky Mountain Network
Effective date
02/24/2023
Obligated Amount
$117.4k
80NSSC23K0526 - THE PERMIAN BASIN IS THE LARGEST OIL AND GAS (O&G) PRODUCING REGION IN THE UNITED STATES. DRIVEN BY TECHNOLOGICAL ADVANCEMENT AND INCREASING DEMAND, O&G PRODUCTION IN THE PERMIAN BASIN IS EXPECTED TO INCREASE IN THE NEAR FUTURE, CONTINUING TO TRANSFORM THE REGIONAL LANDSCAPE AND AGGRAVATE GLOBAL CHALLENGES SUCH AS CLIMATE CHANGE. WE PROPOSE TO CHARACTERIZE THE DYNAMICS OF ENERGY LAND USE AND CONDUCT A COMPREHENSIVE ASSESSMENT OF THE ENVIRONMENTAL IMPACTS ASSOCIATED WITH ENERGY LCLUC IN THE PERMIAN BASIN. SPECIFIC OBJECTIVES OF THE PROJECT ARE TO 1) CHARACTERIZE LONG-TERM O&G LCLUC DYNAMICS OVER THE PAST FOUR DECADES USING A COMBINATION OF LANDSAT OBSERVATIONS, VERY-HIGH-RESOLUTION AERIAL IMAGES, MACHINE LEARNING AND DEEP LEARNING ALGORITHMS, 2) ATTRIBUTE THE LAND SOURCE OF O&G FIELDS USING A SAMPLE-BASED APPROACH AND EVALUATE THE IMPACTS ON ECOSYSTEM SERVICES, 3) CHARACTERIZE THE GEOHAZARD RISKS INDUCED BY O&G EXTRACTION USING INTERFEROMETRIC SYNTHETIC APERTURE RADAR (LNSAR) DATA, AND 4) ASSESS THE VULNERABILITY OF LOCAL COMMUNITIES TO HAZARD EXPOSURE AND INVESTIGATE ENVIRONMENTAL JUSTICE IN THE REGION. SUCCESSFUL COMPLETION OF THIS PROJECT WILL DELIVER THE MOST UP-TO-DATE ENERGY LCLUC AND GEOHAZARD MAPS OF THE HIGHEST SPATIAL RESOLUTION OVER A HOTSPOT REGION OF GLOBAL IMPORTANCE. BY FOCUSING ON THE ENVIRONMENTAL IMPACTS OF O&G PRODUCTION AT LOCAL AND REGIONAL SCALES, OUR INVESTIGATION WILL COMPLEMENT THE WELL-ESTABLISHED SCIENTIFIC LITERATURE ON CO2 EMISSIONS AND CLIMATE CHANGE RESULTED FROM O&G CONSUMPTION. OUR PROPOSAL WILL ENHANCE THE REPRESENTATION OF THE THEME OF ENERGY LCLUC AND CONTRIBUTE A NEW HOTSPOT TO THE CURRENT NASA LAND COVER/LAND USE CHANGE PROGRAM. RESULTS OF THIS PROJECT ARE EXPECTED TO GENERATE BROAD SOCIETAL IMPACTS, INFORMING ISSUES RELEVANT TO THE LOCAL ECONOMY, REGIONAL ECOSYSTEM FUNCTIONING AND GLOBAL CLIMATE CHANGE.
Grant for Research
Contractor
University of Maryland (UNIVERSITY OF MARYLAND, COLLEGE PARK)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
02/24/2023
Obligated Amount
$247.6k
80NSSC23K0416 - EO14042 EARLY ESTIMATION OF FLUX EMERGENCE AND ACTIVE REGION PROPERTIES RELEVANT FOR SPACE WEATHER FORECAST USING SOHO+SDO OBSERVATIONS: A MACHINE LEARNING APPROACH
Grant for Research
Contractor
Southwest Research Institute (SOUTHWEST RESEARCH INSTITUTE)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
02/14/2023
Obligated Amount
$200k
80NSSC23K0463 - THE PROPOSED RESEARCH WILL FOCUS ON TWO PRIMARY SCIENCE GOALS: (1) EXTRACTING HIGHER-ORDER STATISTICS (E.G., THE BISPECTRUM) FROM TSZ MAPS PRODUCED USING PLANCK DATA AND INFERRING COSMOLOGICAL PARAMETERS IN COMBINATION WITH THE TSZ POWER SPECTRUM, WHICH WILL ALLOW DEGENERACIES BETWEEN COSMOLOGICAL AND BARYONIC-PHYSICS PARAMETERS TO BE BROKEN, AND (2) APPLYING NOVEL MACHINE-LEARNING METHODS TO DIRECTLY EXTRACT THE MAXIMUM AMOUNT OF COSMOLOGICAL INFORMATION IN THE AFOREMENTIONED TSZ MAPS, WITHOUT RELYING ON ANY PARTICULAR SUMMARY STATISTIC. THESE SCIENCE GOALS WILL BE FURTHER ENHANCED BY ANALYZING TSZ MAPS MADE FROM A COMBINATION OF PLANCK DATA AND DATA FROM HIGH-RESOLUTION, GROUND BASED CMB EXPERIMENTS, IN PARTICULAR THE ATACAMA COSMOLOGY TELESCOPE (ACT). THE PLANCK-ONLY TSZ MAPS ARE LIMITED TO 10-ARCMINUTE ANGULAR RESOLUTION DUE TO THE RESOLUTION OF THE MID-FREQUENCY PLANCK CHANNELS, WHICH ARE CRUCIAL FOR TSZ EXTRACTION BY COMBINING PLANCK AND ACT DATA, THE ACT TEAM HAS CONSTRUCTED PUBLICLY AVAILABLE TSZ MAPS WITH ROUGHLY 2-ARCMINUTE ANGULAR RESOLUTION, WHICH WE WILL ANALYZE. THE OUTCOMES OF THIS RESEARCH PROGRAM WILL BE NEW MEASUREMENTS OF TSZ HIGHER-ORDER STATISTICS ON AN UNPRECEDENTEDLY BROAD RANGE OF ANGULAR SCALES, NEW CONSTRAINTS ON DARK ENERGY AND THE NEUTRINO MASS DERIVED FROM THESE STATISTICS, AND THE FIRST APPLICATION OF A NOVEL MACHINE-LEARNING FRAMEWORK TO DIRECTLY EXTRACT COSMOLOGICAL INFORMATION FROM WIDE-AREA TSZ MAPS. THIS WORK IS DIRECTLY RELATED TO TWO KEY NASA ASTROPHYSICS SCIENCE OBJECTIVES: "HOW DOES THE UNIVERSE WORK?" AND "HOW DID WE GET HERE?" THE PROPOSED RESEARCH ADDRESSES THE FIRST QUESTION BY YIELDING NEW CONSTRAINTS ON THE BEHAVIOR OF DARK ENERGY AND THE PROPERTIES OF THE FUNDAMENTAL CONSTITUENTS OF THE UNIVERSE, AS WELL AS BY APPLYING NEW ANALYSIS METHODS TO ENABLE MORE SENSITIVE SEARCHES FOR NEW PHYSICS IN THE COSMOS. THE INVESTIGATION ADDRESSES THE SECOND QUESTION BY MAPPING THE DISTRIBUTION OF THERMAL GAS PRESSURE THROUGHOUT THE UNIVERSE, WHICH IS A DIRECT PROBE OF COSMIC STRUCTURE FORMATION AND FEEDBACK PROCESSES ASSOCIATED WITH GALAXY FORMATION ON SMALL SCALES.
Grant for Research
Contractor
Columbia University (TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK, THE)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
02/10/2023
Obligated Amount
$143.5k
80NSSC23K0462 - THE PROPOSED WORK WILL, FOR THE FIRST TIME, INCORPORATE SELF-CONSISTENTLY ALL THE RELATED PHYSICAL EFFECTS (AFFORDED BY THE G-RAY DATA), PROVIDING PHYSICALLY JUSTIFIED MAGNETIC FIELD STRUCTURES, HOT SPOTS, AND PROBABLY MORE ACCURATE MEASUREMENTS OF M*, R* VALUES WITH FEWER FREE PARAMETERS. OUR STUDIES WILL ALSO EMPLOY THE PROMISING MACHINE LEARNING TECHNIQUE TRAINED ON OUR PHYSICAL MODELS, WHICH HAS THE POTENTIAL TO REVOLUTIONIZE THE COMPUTATIONAL EFFICIENCY OF NS PARAMETER INFERENCES. EVEN THOUGH THE DELIVERABLES OF THE PROPOSED STUDY DO NOT HINGE ON THE NOVEL MACHINE LEARNING APPROACH, A SUCCESSFUL OUTCOME WOULD ESTABLISH A REVOLUTIONARY NEW PATHWAY FOR SIMILAR STUDIES.
Grant for Research
Contractor
University of Maryland (UNIVERSITY OF MARYLAND, COLLEGE PARK)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
02/10/2023
Obligated Amount
$119.7k
80NSSC23K0476 - 22-ADAP22-0054, A DATA-DRIVEN MACHINE LEARNING METHOD FOR SOURCE CLASSIFICATION AND SPECTRAL ENERGY DISTRIBUTION ANALYSIS OF FORMING STARS
Grant for Research
Contractor
University of Texas System (UNIVERSITY OF TEXAS AT AUSTIN)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
02/01/2023
Obligated Amount
$141.9k
75N94023P00187 - BIOMEDICAL IMAGING AND MEDICAL IMAGE ANALYSIS SCIENTIST SERVICES
Purchase Order - 513210 Cable Networks
Contractor
OPTIMAL SYSTEMS LLC
Contracting Agency/Office
Health and Human Services»National Institutes of Health»National Institute of Child Health and Human Development
Effective date
02/01/2023
Obligated Amount
$150k
80NSSC23K0324 - EO14042 ONBOARDING, REFINING, AND VISUALIZING ORIENT MACHINE LEARNING-BASED RADIATION BELT MODEL RESULTS ON THE CCMC
Grant for Research
Contractor
University of California (UNIVERSITY OF CALIFORNIA, LOS ANGELES)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
01/27/2023
Obligated Amount
$127k
36C24E23P0004 - BENCHMARKING SERVICES
Purchase Order - 518210 Data Processing, Hosting, and Related Services
Contractor
CCBENEFITS, INC. (ECONOMIC MODELING LLC)
Contracting Agency/Office
Veterans Affairs»Veterans Health Administration»Office of Procurement and Logistics»OPL Office of Procurement
Effective date
01/24/2023
Obligated Amount
$46.5k
80NSSC23K0340 - E014042 - CHARACTERIZATION AND QUANTIFICATION OF SNOW RETRIEVAL SENSITIVITIES WITH ADVANCED MACHINE LEARNING
Grant for Research
Contractor
University of Maryland (UNIVERSITY OF MARYLAND, COLLEGE PARK)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
01/13/2023
Obligated Amount
$57.2k
80NSSC23K0183 - ENHANCING AIR QUALITY APPLICATIONS IN THE HINDU-KUSH HIMALAYA REGION USING SYNERGISTIC REMOTE SENSING, MODELING, AND MACHINE LEARNING TECHNIQUES
Grant for Research
Contractor
University of Alabama (UNIVERSITY OF ALABAMA IN HUNTSVILLE, THE)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
01/06/2023
Obligated Amount
$155.5k

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