Government Contract Award Search - Machine Learning | Federal Compass

Government Contract Award Search - Machine Learning

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1 - 20 of 765
75F40120C00194 - HDDISWP#115 BENEFIT-RISK PREFERENCES FOR THE USE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN IMAGING DIAGNOSTICS
Definitive Contract - 541714 Research and Development in Biotechnology
Contractor
Research Triangle Institute (RESEARCH TRIANGLE INSTITUTE)
Contracting Agency/Office
Health and Human Services»Food and Drug Administration»FDA Office of Operations»Office of Finance, Budget and Acquisitions
Effective date
09/30/2020
Obligated Amount
$436.8k
80NSSC20K1839 - KEY SCIENCE&TECH QUESTIONS: OUR INVESTIGATION ADDRESSES THE FIRST OF THE FOLLOWING SCIENCE QUESTIONS THE NEXT SCIENCE QUESTIONS WILL FRAME THE PATH FORWARD FROM THIS PLANNED WORK. (1) IN WHAT MAY BE DISCERNED FROM TOPOGRAPHY AND SATELLITE IMAGING, TO WHAT DEGREE ARE MERCURY S CHAOTIC TERRAIN AND HOLLOWS SIMILAR TO EARTH S GLACIAL AND PERMAFROST THERMOKARST AND CHEMICAL KARST? HOW DIFFERENT ARE THEY? (2) WHAT FAMILIAR VOLATILE-RELATED PROCESSES MIGHT HAVE CAUSED SIMILAR LANDSCAPES TO DEVELOP? HOW COULD THESE PROCESSES HAVE FUNCTIONED ON MERCURY? (3) IF THE RESPONSIBLE AGENTS ON MERCURY WERE NOT ICE OR LIQUID WATER, AND DID NOT INVOLVE AQUEOUS DISSOLUTION OF SALTS OR AQUEOUS DISSOLUTION OF SOMETHING ELSE, THEN WHAT MIGHT THOSE AGENTS HAVE BEEN, AND BY WHAT PROCESSES DID THEY CREATE LANDSCAPES THAT ARE SO COMPELLINGLY SIMILAR TO KARST AND THERMOKARST LANDSCAPES ON EARTH? CONCEPTUALLY, MIGHT UNEARTHLY PROCESSES (EITHER INVOLVING OR NOT INVOLVING VOLATILES), IF ANY CAN BE IMAGINED, CREATE SIMILAR-LOOKING LANDSCAPES? WAS THERE PERHAPS ANOTHER SOLVENT NOT WATER THAT PRODUCED KARST? OR A VOLATILE SOLID NOTICE THAT PRODUCED THERMOKARST? PERHAPS CAN VAPOR DRIVEN PROCESSES PRODUCE SUCH LANDSCAPES? IS IT POSSIBLE THAT NO VOLATILE WHATSOEVER WAS INVOLVED, AND SOME OTHER PHYSICAL PROCESSES WERE RESPONSIBLE? WHAT FUTURE OBSERVATIONS PRESUMABLY SPACEBORNE WOULD BE NEEDED TO DIFFERENTIATE THE POSSIBILITIES? TECHNOLOGY QUESTIONS: (1) HOW CAN WE USE MACHINE LEARNING TO PROCESS AND UNDERSTAND MULTIDIMENSIONAL TOPOGRAPHIC PARAMETERS IN TERMS OF LANDSCAPE COMPARISONS AND CHARACTERIZATIONS AND, ULTIMATELY, MODELS OF LANDSCAPE ORIGINS? (2) CAN WE MAKE EFFECTIVE USE OF MACHINE LEARNING IN INTEGRATED ANALYSIS OF THE DETAILED TOPOGRAPHY FROM MLA AND TRAIN IT WITH SIMILAR LIDAR DATA FROM EARTH (ICESAT-2 ATLAS), AND FOLD INTO IT LOW-RESOLUTION MAPPING OF THE DISTRIBUTIONS OF ELEMENTS, ESPECIALLY VOLATILES, AND IMAGING OF BRIGHT-BLUISH MATERIALS, TO ARRIVE AT A BETTER UNDERSTANDING OF THESE SPECIAL MERCURY TERRAINS? WE PLAN TO MAKE SOME RESTRICTED APPLICATIONS OF MACHINE LEARNING TO ADDRESS MAINLY TECH QUESTION #1, MAKE AS MUCH PROGRESS AS WE CAN ON TECH QUESTION #2, THEN DEVELOP A WHITE PAPER THAT WILL EXPLORE A POSSIBLE ROADMAP FOR FUTURE APPLICATIONS OF MACHINE LEARNING AND OF POSSIBLE FUTURE MERCURY MISSION OBJECTIVES. OUR APPROACH WILL INVOLVE THESE METHODS: (1) USE OF SINGLE LIDAR (MLA) TRACKS OVER THE PHOTOGRAMMETRIC MESSENGER DEM AND MDIS IMAGERY IN AOIS FOR USE IN PROVIDING CONTEXT. THEN DO THE SAME FOR EARTH, USING ICESAT-2 LIDAR DATA. (2) USE OF STATISTICAL MEASURES OF LANDSCAPE PROPERTIES, WITH COMPARISONS OF SIMILAR-LOOKING TERRAINS ON EARTH AND MERCURY FROM LIDAR DATA, AND LANDFORM PLANIMETRIC PROPERTIES FROM IMAGING AND PHOTOGRAMMETRIC DEMS. (3) USE OF MACHINE LEARNING. THIS IS A NOVEL AND EXPLORATORY PART OF OUR RESEARCH DESIGN. TOOLS WE HAVE USED SUCCESSFULLY IN GLACIOLOGY-- BUT APPLIED TO MULTISPECTRAL IMAGES AND DEMS-- WILL BE EXPLORED FOR THEIR POSSIBLE USEFULNESS IN ANALYSIS OF LIDAR DATA FOR MERCURY AND EARTH. THESE MACHINE LEARNING TOOLS INCLUDE SUPPORT VECTOR MACHINES, SUPERVISED NEURAL NETWORKS, RANDOM FOREST CLASSIFIER, AND CONVOLUTIONAL NEURAL NETWORK .
Grant for Research
Contractor
PLANETARY SCIENCE INSTITUTE
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
09/28/2020
Obligated Amount
$150k
75N94020C00010 - "LEVERAGING ANCESTRY TO JOINTLY CHARACTERIZED GENETICS AND ENVIRONMENTAL CONTRIBUTIONS TO HEALTH DISPARITIES"
Definitive Contract - 541990 All Other Professional, Scientific, and Technical Services
Contractor
ASRT, INC
Contracting Agency/Office
Health and Human Services»National Institutes of Health»Eunice Kennedy Shriver National Institute of Child Health and Human Development
Effective date
09/24/2020
Obligated Amount
$851.1k
693JJ320C000021 - FULL FUNDING TO AWARD NEW THREE-YEAR CONTRACTWITH THE NEW JERSEY INSTITUTE OF TECHNOLOGY FORTHEIR PROJECT TITLED "DECENTRALIZED VEHICLECREDENTIAL MANAGEMENT SYSTEM BASED ON CONSORTIUMBLOCKCHAIN" IN RESPONSE TO BAA 693JJ3-20-BAA-0001
Definitive Contract - 541715 Research and Development in the Physical, Engineering, and Life Sciences
Contractor
NEW JERSEY INST TECHnology (NEW JERSEY INSTITUTE OF TECHNOLOGY)
Contracting Agency/Office
Transportation»Federal Highway Administration»FHWA Office of the Chief Financial Officer»FHWA Office of Acquisition and Grants Management
Effective date
09/24/2020
Obligated Amount
$699.7k
89303020PCR000002 - THIS REQUIREMENT WILL BE AWARDED AS A DIRECT SBIR/STTR PHASE III AWARD. THE PURPOSE OF PROCUREMENT IS TO SEEK VENDOR SUPPORT AUGMENTED BY ARTIFICIAL INTELLIGENCE/MACHINE LEARNING (AI/ML), NATURAL LANGUAGE PROCESSING, AND NEURAL MACHINE TR
Purchase Order - 561990 All Other Support Services
Contractor
EIDEN SYSTEMS CORPORATION
Contracting Agency/Office
Energy»DOE Office of Management»Office of Acquisition Management»Office of Headquarters Procurement Services
Effective date
09/22/2020
Obligated Amount
$299.9k
1305M320PNFFS0582 - PROFESSIONAL SERVICES TO: ARTIFICIAL INTELLIGENCE/MACHINE LEARNING (AL/ML) FOR AUTOMATING THE PROCESSING AND MATCHING OF OVERHEAD COOK INLET BELUGA PHOTOGRAPHS
Purchase Order - 541511 Custom Computer Programming Services
Contractor
WILD ME
Contracting Agency/Office
Commerce»National Oceanic and Atmospheric Administration
Effective date
09/22/2020
Obligated Amount
$50k
75F40120C00187 - FSSWP#14 SALMONELLA SOURCE ATTRIBUTION BY MACHINE LEARNING AND WHOLE GENOME SEQUENCING
Definitive Contract - 541714 Research and Development in Biotechnology
Contractor
UNIV GEORGIA RESEARCH FOUNDTN (UNIVERSITY OF GEORGIA RESEARCH FOUNDATION, INC.)
Contracting Agency/Office
Health and Human Services»Food and Drug Administration»FDA Office of Operations»Office of Finance, Budget and Acquisitions
Effective date
09/21/2020
Obligated Amount
$298.9k
80NSSC20K1275 - THE SCIENTIFIC GOAL OF THIS PROJECT IS TO DEVELOP A DYNAMICAL HELIOSPHERIC MODELING FRAMEWORK THAT WILL REPRODUCE THE GLOBAL, LARGE SCALE SOLAR WIND EVOLUTION THROUGH A MORE ACCURATE, LOCAL DESCRIPTION OF KINETIC DYNAMICS IN THE HELIOSPHERE. TO THIS END IT INTEGRATES AND COMBINES EXPERTISE FROM THEORETICAL AND NUMERICAL KINETIC PLASMA MODELING, ARTIFICIAL INTELLIGENCE/MACHINE LEARNING (AI/ML), AND IN-SITU OBSERVATIONS OF THE SOLAR WIND. THE EVOLUTION OF PARTICLE DISTRIBUTION FUNCTIONS WITH HELIOCENTRIC DISTANCE IS CONTROLLED BOTH BY LARGE SCALE DRIVING AND LOCAL KINETIC EFFECTS, WITH THE LATTER INCLUDING PROCESSES SUCH AS INSTABILITIES, WAVE-PARTICLE INTERACTIONS, MAGNETIC RECONNECTION AND TURBULENCE. SEVERAL ORDERS OF MAGNITUDE IN SPACE AND TIME SEPARATE KINETIC SCALES IN THE SOLAR WIND FROM THE SCALES OF THE GLOBAL EVOLUTION FROM THE SUN. FOR THIS REASON, MODELING OF KINETIC PROCESSES HAS CLUSTERED AT THE TWO EXTREMES OF THE SCALE SEPARATION: (1) LARGE SCALE MODELS FOCUS ON LARGE SCALE EVOLUTION OF PARTICLE VELOCITY DISTRIBUTION FUNCTIONS (VDFS), AIMING AT REPRODUCING OBSERVATIONS AT 1 AU AND BEYOND, BUT SIGNIFICANTLY APPROXIMATING THE KINETIC SOLAR WIND DYNAMICS THAT DRIVE VDF EVOLUTION (2) FULLY KINETIC (E.G. PARTICLE IN CELL- PIC) MODELS FOCUS ON KINETIC SCALE PROCESSES (MAGNETIC RECONNECTION, TURBULENCE, WAVES AND INSTABILITIES), ACCURATELY REPRODUCING LOCAL DYNAMICS BUT PREVENTED, FROM THE INESCAPABLE COST OF PIC SIMULATIONS, FROM ADDRESSING THEIR COUPLING WITH LARGER SCALE DYNAMICS. OUR NEW MODELING FRAMEWORK WILL BE BUILT BY HARNESSING THE POWER OF STATE OF THE ART KINETIC SIMULATIONS OF THE SOLAR WIND, LOCAL SOLAR WIND OBSERVATIONS AT DIFFERENT HELIOCENTRIC DISTANCES AND AI/ML TECHNIQUES. THIS PROPOSAL FOCUSES ON THE DEVELOPMENT, VALIDATION AND DEPLOYMENT OF A GLOBAL SOLAR WIND MODEL THAT GLOBALLY EVOLVES SOLAR WIND MODELS ON THE BASIS OF REALISTICALLY MODELED LOCAL KINETIC PROCESSES. THEREFORE, THE PROPOSAL CONTRIBUTES TO THREE SCIENTIFIC OBJECTIVES OF THE HELIOPHYSICS DECADAL SURVEY: "DETERMINE THE ORIGINS OF THE SUN'S ACTIVITY AND PREDICT THE VARIATIONS IN THE SPACE ENVIRONMENT", "DETERMINE THE INTERACTION OF THE SUN WITH THE SOLAR SYSTEM AND THE INTERSTELLAR MEDIUM", AND "DISCOVERING AND CHARACTERIZING FUNDAMENTAL PROCESSES THAT OCCUR BOTH WITHIN THE HELIOSPHERE AND THROUGHOUT THE UNIVERSE."
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
09/18/2020
Obligated Amount
$355.4k
70RSAT20C00000061 - DHS S&T NEW CONTRACT FOR OATS TRUSTED SOFTWARE TOOL TO EVALUATE MACHINE LEARNING ALGORITHMS
Definitive Contract - 541715 Research and Development in the Physical, Engineering, and Life Sciences
Contractor
CALYPSO AI CORP
Contracting Agency/Office
Homeland Security»DHS Management Directorate»DHS Office of the Chief Procurement Officer»DHS Office of Procurement Operations
Effective date
09/18/2020
Obligated Amount
$245.1k
80NSSC20K1486 - THIS PROJECT WILL COMBINE REMOTE SENSING AND SOCIAL SCIENCE METHODS TO MEASURE AND PREDICT THE RELATIVE EFFECTIVENESS OF CONSERVATION INSTRUMENTS IN PROTECTING THREATENED FOREST HABITAT IN THE COLOMBIAN ANDES. THIS ECOREGION STANDS UNEQUALED AMONG GLOBAL BIODIVERSITY HOTSPOTS IN TERMS OF SPECIES RICHNESS AND ENDEMISM, BUT IS ALSO ONE OF THE MOST SEVERELY THREATENED BY HABITAT LOSS, CLIMATE CHANGE, AND POST-CONFLICT DEVELOPMENT. IN RESPONSE, COLOMBIA HAS IMPLEMENTED A RANGE OF CONSERVATION POLICIES, INCLUDING PROTECTED AREAS (PAS), LAND ACQUISITIONS FOR CONSERVATION (LACS), AND PAYMENTS FOR ENVIRONMENTAL SERVICES (PES), AND NOW FACES CRITICAL POLICY DECISIONS ABOUT THE IMPORTANCE GIVEN TO EACH IN A FUTURE POLICY MIX TO CONSERVE ANDEAN FORESTS. THESE CHOICES ARE CURRENTLY UNDERMINED BY LIMITED EVIDENCE ON THE EFFECTIVENESS OF EACH INSTRUMENT IN THE COLOMBIAN ANDES. REMOTE SENSING-BASED IMPACT ASSESSMENTS CAN HELP NARROW THIS GAP, BUT APPLICATIONS IN THE TROPICAL ANDES HAVE LONG BEEN INHIBITED BY CLOUD COVER AND TOPOGRAPHY. WE WILL ADDRESS THIS PROBLEM BY COMBINING CONTINUOUS CHANGE DETECTION AND CLASSIFICATION AND A FUSION OF LANDSAT AND SENTINEL 1/2 DATA TO DEVELOP THE FIRST TEMPORALLY CONSISTENT MAP OF 25-YEAR FOREST CHANGE IN THE COLOMBIAN ANDES THAT DISCRIMINATES BETWEEN FOREST TYPES OF DIFFERENT HABITAT VALUE: MATURE FOREST, DISTURBED FOREST, SECONDARY FORESTS, DRY FORESTS, AND FOREST PLANTATIONS. WE WILL QUANTIFY THE IMPACTS AND COST-EFFECTIVENESS OF PAS, LACS, AND PES BY COMBINING THE FOREST CHANGE LAYERS WITH NATIONWIDE PARCEL DATA AND A UNIQUE DATASET OF THOUSANDS OF PUBLICLY-FINANCED CONSERVATION INSTRUMENTS. USING COUNTERFACTUAL INFERENTIAL METHODS, NOVEL MACHINE LEARNING METHODS, AND FIELD RESEARCH, WE WILL EXAMINE AND PREDICT HOW CAUSAL EFFECTS OF EACH INSTRUMENT VARY ACROSS LANDSCAPES AS A FUNCTION OF ECOLOGICAL, DEMOGRAPHIC, AND INSTITUTIONAL VARIABLES. COLLABORATION WITH COLOMBIA'S LEADING RESEARCH INSTITUTES IN LAND COVER CHANGE MAPPING (IDEAM) AND BIODIVERSITY RESEARCH (IAVH, UNIVERSIDAD JAVERIANA) WILL ENSURE RESPONSIVENESS TO NATIONAL PRIORITIES, EXCHANGE OF EXPERTISE, AND TIMELY DISSEMINATION OF RESULTS. THIS RESEARCH COMBINES THE EXPERTISE OF THREE EARLY-CAREER RESEARCHERS TO SUPPORT COLOMBIA'S ENVIRONMENTAL INSTITUTIONS IN THE DESIGN OF OPTIMAL AND EQUITABLE POLICY STRATEGIES THAT CONSERVE FOREST HABITAT UNDER BUDGET CONSTRAINTS. BY PRODUCING THE FIRST EVIDENCE ON CONSERVATION EFFECTS OF LACS IN THE TROPICS, THE PROJECT ALSO MAKES A NOVEL, UNIQUE CONTRIBUTION TO THE GLOBAL EVIDENCE BASE ON THE EFFECTIVENESS OF CONSERVATION INSTRUMENTS.
Grant for Research
Contractor
BOSTON UNIV (TRUSTEES OF BOSTON UNIVERSITY)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
09/16/2020
Obligated Amount
$149.9k
80NSSC20K1438 - PUBLIC INFORMATION ABOUT AGRICULTURE INCLUDING CROP PLANTING, PROGRESS, AND CONDITION IS AN IMPORTANT FACTOR INFLUENCING MARKETS AND EXPORT PRICES. OFFICIAL REPORTS BY AGRICULTURAL MINISTRIES, SUCH AS THE USDA S CROP PROGRESS&CONDITION REPORTS, ARE WIDELY FOLLOWED BY MARKET ANALYSTS AND TRADERS TO INFORM DECISION-MAKING AROUND AGRICULTURAL MARKETS AND FUTURES. THUS, UNCERTAINTY IN PUBLIC INFORMATION INCLUDING OFFICIAL REPORTS FOR MAJOR FOOD-PRODUCING COUNTRIES RESULTS IN UNCERTAINTY AND VOLATILITY IN AGRICULTURAL MARKETS AND PRICES. AT A MEETING OF THE AGRICULTURAL MARKET INFORMATION SYSTEM (AMIS) HELD APRIL 9, 2020 IN RESPONSE TO THE COVID-19 CRISIS, THE G20 AMIS CHAIR MARCELO FERNANDES GUIMARES ASSERTED THAT PROVISION OF INFORMATION THAT IS TIMELY AND TRANSPARENT WILL BE ABSOLUTELY CRITICAL TO CALM MARKETS. MITIGATION PROCEDURES FOR THE COVID-19 PANDEMIC INCLUDING SOCIAL ISOLATION AND TRAVEL BANS WILL LIMIT MINISTRIES ACCESS TO FIELDS AND FARMERS TO COLLECT INFORMATION ABOUT CROP ACREAGE, PROGRESS, AND CONDITIONS DURING THE GROWING SEASON. THIS IS EXPECTED TO SIGNIFICANTLY IMPACT GOVERNMENT'S ABILITIES TO COLLECT INFORMATION ABOUT AGRICULTURAL CONDITIONS DOMESTICALLY AND INTERNATIONALLY AND WILL LIKELY IMPACT FARMER SURVEY RESPONSE LEVELS AS THE PANDEMIC PUTS STRESS ON INDIVIDUAL'S TIME AND RESOURCES. IN ADDITION, POLICY DECISIONS RELATED TO AGRICULTURAL PRODUCTION MADE IN RESPONSE TO COVID-19 ARE ALREADY INCREASING TENSION AND UNCERTAINTY IN MARKETS. FOR EXAMPLE, RUSSIA, THE LARGEST GLOBAL WHEAT EXPORTER, RECENTLY ANNOUNCED A 7 MILLION TON (MT) WHEAT EXPORT LIMIT IN RESPONSE TO THE PANDEMIC, CAUSING TENSION AND FEARS OF FOOD INSECURITY FOR HIGH-IMPORT COUNTRIES. AT THE APRIL 9, 2020 AMIS MEETING, THE RUSSIAN AGRICULTURAL MINISTRY REPRESENTATIVE STATED THAT THEY PLAN TO PLACE A STRICTER LIMIT IF UNFAVORABLE WEATHER DEVELOPS AND REDUCES WHEAT PRODUCTION LEVELS (DIFFICULT TO ANTICIPATE WITHOUT FIELD ACCESS AND REDUCED FARMER SURVEY RESPONSES). MARKET TENSIONS AND PERCEPTIONS OF INCREASED UNCERTAINTY ABOUT AGRICULTURAL PRODUCTION CAUSED BY POLICY DECISIONS AND REDUCED ACCESS TO INFORMATION INFLUENCE MARKET PRICES AND DECISIONS THAT CAN IN TURN DISRUPT MARKET STABILITY AND FOOD SECURITY. EARTH OBSERVATIONS (EO) DATA PROVIDE A VALUABLE COMPLEMENTARY SOURCE OF INFORMATION ABOUT GLOBAL CROP PROGRESS AND CONDITIONS, ENABLING TIMELY ANALYSIS AT FIELD SCALES THROUGHOUT THE GROWING SEASON TO SUPPLEMENT TRADITIONAL DATA COLLECTION AND REPORTING EFFORTS. TO HELP STABILIZE AGRICULTURAL MARKETS IMPACTED BY COVID-19, WE PROPOSE TO PROVIDE IN-SEASON INFORMATION ABOUT CROP CONDITIONS AND PRODUCTION PROSPECTS IN MAJOR GRAIN EXPORT COUNTRIES USING EO DATA. WE WILL FOCUS ON REGIONS AND CROPS WHERE UNCERTAINTY OFTEN HAS A LARGE INFLUENCE ON AGRICULTURAL MARKETS AND PRICES: CORN AND SOYBEANS IN THE US AND WINTER WHEAT IN RUSSIA. BUILDING ON OUR EXISTING EFFORTS USING SATELLITE DATA AND MACHINE LEARNING ANALYSIS, WE WILL PRODUCE PUBLIC, TRANSPARENT MAPS AND REPORTS ABOUT CROP PROGRESS AND CONDITIONS IN THESE REGIONS UPDATED REGULARLY DURING THE GROWING SEASON.
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
09/11/2020
Obligated Amount
$100k
75D30120P09763 - CONSULTING SERVICES TO DEVELOP MACHINE LEARNING DATA ANALYSIS
Purchase Order - 541690 Other Scientific and Technical Consulting Services
Contractor
UNIV CINCINNATI (UNIVERSITY OF CINCINNATI)
Contracting Agency/Office
Health and Human Services»Centers for Disease Control and Prevention
Effective date
09/11/2020
Obligated Amount
$35k
80NSSC20K1580 - THE GOAL OF THIS PROJECT IS TO CREATE THE ALGORITHMIC PROTOTYPE THAT WILL COMBINE A SMALL NUMBER OF HIGH- FIDELITY (LOW ERROR, BUT COMPUTATIONALLY EXPENSIVE) RUNS FROM PHYSICS-BASED MODELS WITH A LARGE NUMBER OF LESS ACCURATE BUT FASTER RUNS FROM MACHINE LEARNING MODELS...
Grant for Research
Contractor
University of Colorado (REGENTS OF THE UNIVERSITY OF COLORADO, THE)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
09/10/2020
Obligated Amount
$2.9M
75FCMC20C0037 - ADVANCED ANALYTICS ADVISEMENT: PLAN THE MOST EFFECTIVE AND EFFICIENT TRANSITION TO CLOUD INTEGRATION THAT WILL ALSO BE CONDUCIVE TO THE USE OF ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING (ML).
Definitive Contract - 541690 Other Scientific and Technical Consulting Services
Contractor
ESIMPLICITY, INC.
Contracting Agency/Office
Health and Human Services»Centers for Medicare & Medicaid Services»Office of Acquisition and Grants Management
Effective date
09/10/2020
Obligated Amount
$1.6M
80NSSC20K1352 - DETERMINING THE CONTRIBUTION OF CORONAL JETS TO THE SOLAR WIND VIA DEEP MACHINE LEARNING AND COMPUTER VISION
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
09/08/2020
Obligated Amount
$187.9k
50310220P0054 - CLEAR SYSTEM TO SYSTEM SUBSCRIPTION
Purchase Order - 519190 All Other Information Services
Contractor
Thomson Reuters (WEST PUBLISHING CORPORATION)
Contracting Agency/Office
Securities and Exchange Commission
Effective date
08/31/2020
Obligated Amount
$17k
75N90020P00707 - IMPROVING OPIOID USE DISORDER TREATMENT AND RETENTION IN CARE IN URBAN HIV CLINICS VIA PREDICTIVE ANALYTICS, ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING ALGORITHMS
Purchase Order - 541990 All Other Professional, Scientific, and Technical Services
Contractor
University of Maryland (UNIVERSITY OF MARYLAND)
Contracting Agency/Office
Health and Human Services»National Institutes of Health»NIH Clinical Center
Effective date
08/31/2020
Obligated Amount
$718.6k
80NSSC20C0436 - PRESOUND: UAV DIAGNOSTIC SYSTEM ENABLED BY ACOUSTICS AND VIBRATION-BASED MACHINE LEARNING
Definitive Contract - 541715 Research and Development in the Physical, Engineering, and Life Sciences
Contractor
GREENSIGHT AGRONOMICS (GREENSIGHT AGRONOMICS, INC.)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
08/28/2020
Obligated Amount
$120.8k
1333ND20PNB640663 - 4 10KVA UNINTERRUPTIBLE POWER SUPPLY
Purchase Order - 335312 Motor and Generator Manufacturing
Contractor
DANIEL A NEWMAN (NEWMAN, DANIEL A)
Contracting Agency/Office
Commerce»National Institute of Standards and Technology»Management Resources»Office of Acquisition and Agreements Management
Effective date
08/24/2020
Obligated Amount
$14.5k
80NSSC20M0217 - THE PROPOSED RESEARCH CONSIDERS THE DEVELOPMENT OF A NEW, MACHINE-LEARNING ASSISTED OPTIMIZATION TOOL FOR ONGROUND MISSION DESIGN.
Cooperative Agreement
Contractor
THE WICHITA STATE UNIVERSITY (WICHITA STATE UNIVERSITY)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
08/20/2020
Obligated Amount
$750k

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