Government Contract Award Search - Machine Learning | Federal Compass

Government Contract Award Search - Machine Learning

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80NSSC21K0465 - REAL TIME QUALITY CONTROL IN ADDITIVE MANUFACTURING USING IN PROCESS SENSING AND MACHINE LEARNING.
Grant for Research
Contractor
CORNELL UNIV (CORNELL UNIVERSITY)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
02/12/2021
Obligated Amount
$80k
80NSSC21K0431 - IN PREPARATION FOR THE UPCOMING PACE AND GLIMR MISSIONS, WE WILL DEVELOP A MACHINE LEARNING (ML) APPROACH TO USE HYPERSPECTRAL OCEAN COLOR (OC) MEASUREMENTS & ECOLOGICAL PRINCIPLES TO ACCURATELY DESCRIBE PHYTOPLANKTON COMMUNITY COMPOSITION (PCC).
Grant for Research
Contractor
Universities Space Research Association (UNIVERSITIES SPACE RESEARCH ASSOCIATION)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
01/29/2021
Obligated Amount
$159.5k
1305M221PNFFM0032 - NOAA FISHERIES/NORTHEAST FISHERIES SCIENCE CENTER (NEFSC), IMAGE COLLECTION, PROCESSING, AND MACHINE LEARNING TO SUPPORT NORTHEAST ELECTRONIC MONITORING PROGRAMS
Purchase Order - 541511 Custom Computer Programming Services
Contractor
CVISION AI INC
Contracting Agency/Office
Commerce»National Oceanic and Atmospheric Administration
Effective date
01/21/2021
Obligated Amount
$157.3k
80NSSC21M0030 - OUR PROPOSAL RESPONDS TO THE ACCESS TECHNOLOGY FOCUS AREA 2.1.1.2: CREATION OF TRAINING DATA. THE PURPOSE OF THIS PROJECT IS TO RECAST THE 32-YEAR RECORD OF SATELLITE OBSERVATIONS OF THE EARTH S NATURAL MICROWAVE EMISSION INTO DATASETS THAT ARE COMPATIBLE WITH MACHINE LEARNING. THE MICROWAVE SPECTRUM CONTAINS A WEALTH OF INFORMATION ON OUR EVER-CHANGING PLANET. FROM PROVIDING INFORMATION ON SEA ICE, TO OCEAN WINDS AND TEMPERATURE, TO ATMOSPHERIC MOISTURE, TO SOIL AND VEGETATION COVER, THE MICROWAVE SPECTRUM IS UNIQUE AND VITAL TO UNDERSTANDING EARTH. RECORDS OF THESE GEOPHYSICAL PARAMETERS CAN ALL BE CALCULATED USING A COMBINATION OF OBSERVED MICROWAVE RADIANCES FROM SATELLITES AND RELEVANT ANCILLARY GEOPHYSICAL PARAMETERS ASSOCIATED WITH THEIR CORRESPONDING EARTH SCENES. HOWEVER, TO ASSEMBLE AND USE THE ENTIRE RECORD OF SATELLITE MICROWAVE OBSERVATIONS, MEASUREMENTS FROM A NUMBER OF DISPARATE INSTRUMENT TYPES NEED TO BE COMBINED. THESE INSTRUMENTS OFTEN DIFFER IN SEEMINGLY ARCANE MEASUREMENT DETAILS, SUCH AS THE EXACT FREQUENCY OF THE MEASUREMENT AND THE ANGLE AT WHICH THE EARTH IS OBSERVED. THIS PRESENTS A CHALLENGE AS MEASUREMENT DIFFERENCES LEAD TO DIFFERENCES IN THE OBSERVED RADIANCES THAT NEED TO BE CHARACTERIZED AND REMOVED BEFORE THE DATA CAN BE COMBINED OR USED IN A COMMON RETRIEVAL ALGORITHM. ANOTHER CHALLENGE IS THAT THE RADIANCE DATA ARE TYPICALLY AVAILABLE IN SWATH FORM, WITH ELLIPTICAL MEASUREMENT FOOTPRINTS THAT ARE IRREGULARLY SPACED IN LATITUDE AND LONGITUDE. THIS MAKES IT DIFFICULT TO COLLOCATE THE MEASUREMENTS TAKEN BY MICROWAVE IMAGING RADIOMETERS WITH OTHER MEASUREMENTS, OR WITH KNOWN CHARACTERISTICS OF THE EARTH S SURFACE. BECAUSE OF THESE CHALLENGES, ALGORITHM DEVELOPMENT HAS GENERALLY BEEN UNDERTAKEN BY REMOTE SENSING SPECIALISTS, INSTEAD OF ATTRACTING THE ATTENTION OF THE LARGE AND GROWING MACHINE LEARNING COMMUNITY. THE PURPOSE OF THE WORK PROPOSED HERE IS TO PERFORM THE SPECIALIZED WORK THAT CURRENTLY SERVES AS A BARRIER TO MORE WIDESPREAD STUDY OF MICROWAVE MEASUREMENTS. THIS WILL LEAD TO THE CREATION OF AN EASY-TO-USE DATASETS WHICH WILL SUBSEQUENTLY BE MADE AVAILABLE TO RESEARCHERS AND OTHER USERS WORLDWIDE. WE PROPOSE TO PERFORM THE FOLLOWING FOR A LARGE COLLECTION OF MICROWAVE RADIOMETERS: ADJUST THE MEASUREMENTS FROM THE DISPARATE INSTRUMENTS SO THAT THEY ARE REFERRED TO A COMMON SET OF FREQUENCIES AT A SINGLE MEASUREMENT ANGLE. RESAMPLE THE MEASUREMENTS (USING A MINIMAL-NOISE TECHNIQUE) ONTO A REGULAR, LATITUDE AND LONGITUDE EARTH GRID. MAKE AVAILABLE (ON AN IDENTICAL GRID) A SET COLLOCATED ANCILLARY VARIABLES THAT WE DEEM LIKELY TO AID ALGORITHM DEVELOPMENT. EXAMPLES OF THESE DATA ARE: (II) METEOROLOGICAL INFORMATION, INCLUDING ATMOSPHERIC PROFILES OF TEMPERATURE, MOISTURE, THE PRESENCE RAIN, SURFACE TEMPERATURE, AND WIND. (II) INFORMATION ABOUT EARTH S SURFACE, SUCH AS OPEN WATER FRACTION AND LAND USE/LAND COVER. (III) INFORMATIVE QUALITY FLAGS TO AID THE USER IN CULLING MEASUREMENTS THAT ARE INAPPROPRIATE FOR THEIR PURPOSE. RETRIEVE SURFACE EMISSIVITY FOR EACH FREQUENCY USING ATMOSPHERIC PARAMETERS FROM REANALYSIS ON AN IDENTICAL REGULAR EARTH GRID. USE THESE EMISSIVITIES AND FORWARD MICROWAVE MODELS OF THE ATMOSPHERE TO PRODUCE A SECOND SET OF TRAINING DATA CONSTRUCTED USING DIVERSE, EXACTLY SPECIFIED ATMOSPHERIC CONDITIONS. ALL OF THIS WOULD BE FREELY PROVIDED IN EASY-TO-USE FORMATS VIA POPULAR WEB INTERFACES TO MAXIMIZE THE POTENTIAL FOR WIDESPREAD USE. TAKEN ALL TOGETHER, WE WOULD PROVIDE 150 SATELLITE-YEARS OF DATA THAT, BY THE END OF THE PROPOSED WORK, WOULD SPAN MORE THAN 35 YEARS OF RECENT EARTH HISTORY.
Cooperative Agreement
Contractor
REMOTE SENSING SYSTEMS
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
01/12/2021
Obligated Amount
$182k
80NSSC21M0027 - THE OUTPUTS OF THIS PROJECT WILL GREATLY HELP NASA SCIENTISTS AND THE BROADER COMMUNITY TO INDEPENDENTLY OR COLLECTIVELY DEVELOP MACHINE-LEARNING BASED CLOUD REMOTE SENSING ALGORITHMS, COMPARE AND EVALUATE THE CLOUD RETRIEVAL PRODUCTS.
Cooperative Agreement
Contractor
University of Maryland (UNIVERSITY OF MARYLAND BALTIMORE COUNTY)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
12/29/2020
Obligated Amount
$197.8k
75D30121C10149 - COVID-19 VACCINE COMMUNICATION AND EDUCATION SUPPORT SERVICES
Definitive Contract - FTA Project Management Oversight Services - 561990 All Other Support Services
Contractor
TANAQ SUPPORT SERVICES, LLC
Contracting Agency/Office
Health and Human Services»Centers for Disease Control and Prevention
Effective date
12/22/2020
Obligated Amount
$22.7M
140D0421C0002 - INFORMATION TECHNOLOGY (IT), ARTIFICIAL INTELLIGENCE (AI), AND MACHINE LEARNING (ML) PROGRAMMATIC SUPPORT SERVICES FOR THE DEPARTMENT OF DEFENSE CHIEF INFORMATION OFFICER (DOD CIO) JOINT ARTIFICIAL INTELLIGENCE CENTER (JAIC)
Definitive Contract - 541512 Computer Systems Design Services
Contractor
Koniag, Inc (TUKNIK GOVERNMENT SERVICES LLC)
Contracting Agency/Office
Interior»Office of Policy, Management and Budget»PMB Administrative Services»Interior Business Center»DOI IBC Acquisition Services Directorate
Effective date
12/21/2020
Obligated Amount
$4M
80NSSC21M0029 - AT PRESENT, THE AI/ML (ARTIFICIAL INTELLIGENCE/MACHINE LEARNING) RESEARCH IN EARTH SCIENCE IS LACK OF EFFICIENT MANAGEMENT AND DIFFICULT TO SHARE, REPLICATE, REUSE, AND SCALE ML WORKFLOWS. MOST OF THE TIME, SCIENTISTS MANAGE THEIR ML WORKFLOWS ON THE
Cooperative Agreement
Contractor
REGENTS OF THE UNIVERSITY OF IDAHO
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
12/18/2020
Obligated Amount
$9.3k
W911S021P0002 - CARLA ANNUAL SUBSCRIPTION AND SUPPORT RE
Purchase Order - 511210 Software Publishers
Contractor
IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION)
Contracting Agency/Office
Army»Army Materiel Command»Army Contracting Command»Mission and Installation Contracting Command»MICC - Fort Eustis
Effective date
11/23/2020
Obligated Amount
$50k
W56KGU21C0010 - SBIR PHASE II - CONTEXT-AWARE MACHINE LEARNING SIGNAL (CAMLS)
Definitive Contract - 541715 Research and Development in the Physical, Engineering, and Life Sciences
Contractor
VADUM (VADUM, INC.)
Contracting Agency/Office
Army»Army Materiel Command»Army Contracting Command»Contracting Centers»ACC-Aberdeen Proving Grounds
Effective date
11/23/2020
Obligated Amount
$550k
W911SR21C0002 - THE OBJECTIVE OF THIS CONTRACT IS TO DEVELOP ADVANCED MACHINE LEARNING/ARTIFICIAL INTELLIGENCE (ML/AI) ALGORITHMS TO DETERMINE MORPHOLOGICAL CHARACTERISTICS OF THE PLUME GIVEN RAW LIDAR SENSOR DATA AND PROVIDE THE RESULTS TO DOWNSTREAM SYSTEMS.
Definitive Contract - 541715 Research and Development in the Physical, Engineering, and Life Sciences
Contractor
Mercury Systems, Inc (PHYSICAL OPTICS CORPORATION)
Contracting Agency/Office
Army»Army Materiel Command»Army Contracting Command»Contracting Centers»ACC-Aberdeen Proving Grounds
Effective date
11/18/2020
Obligated Amount
$600k
FA864921P0008 - MACHINE LEARNING ENABLED ELECTROCHEMICAL BIOSENSOR RAPID DIAGNOSTIC
Purchase Order - 541715 Research and Development in the Physical, Engineering, and Life Sciences
Contractor
VALOR PROFESSIONAL SOLUTIONS, L.L.C.
Contracting Agency/Office
Air Force
Effective date
11/18/2020
Obligated Amount
$148.2k
N0017321C2002 - HUMAN SYSTEMS INTEGRATION CONSIDERATIONS WITH ARTIFICIAL INTELLIGENCE / MACHINE LEARNING TECHNOLOGIES
Definitive Contract - 541715 Research and Development in the Physical, Engineering, and Life Sciences
Contractor
Strategic Analysis, Inc (STRATEGIC ANALYSIS, INC.)
Contracting Agency/Office
Navy»Office of Naval Research»Naval Research Laboratory
Effective date
11/17/2020
Obligated Amount
$146k
80NSSC21M0022 - Recent advancements in machine learning (ML) techniques enable analysis of massive Earth Observation (EO) datasets and, in so doing, have the potential to improve decision making by governments, businesses, and non-governmental organizations. Ho
Cooperative Agreement
Contractor
OPEN IMAGERY NETWORK, INC.
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
11/16/2020
Obligated Amount
$261.8k
80NSSC21M0031 - Spatio-temporal Machine Learning and Cloud Computing for Predicting Dynamics of Global Vegetation Structure from Active Satellite Sensors
Cooperative Agreement
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
11/13/2020
Obligated Amount
$16.2k
80NSSC21K0026 - Our project will deliver a machine-learning based model to specify and forecast near-Earth solar wind (SW) conditions based on spacecraft measurements around L1. Almost all magnetosphere-ionosphere research and space weather forecasts rely on near- Earth SW conditions that are obtained by propagating the L1 measurements to the Earth s bow shock. The industry-standard and widely used OMNIWeb model is almost 15 years old and relies on a number of assumptions including IMF fronts being planer and SW properties staying the same along the front and over time. Although these assumptions allow one to deduce near-Earth SW values, they are widely known to be often incorrect. OMNIWeb does not provide SW uncertainty either. We propose to overcome the limitations by developing a machine-learning based model using the state-of-art algorithm of artificial recurrent neural network and the long history of multi-point SW measurements. By providing this model to the community, we will improve the outputs of all models that use SW values as inputs. This project is based on an effective and novel use of two-decades of SW observations, and the outcome will benefit a wide range of space-weather-related research and operations. It sits squarely within the program goal improvements of operational capabilities and advancements in related fundamental research and to improve numerical models and/or data utilization techniques that could advance specification and/or forecasting capabilities and that could also lead to improved science understanding. Particularly, it will significantly promote the understanding of the sun and its interactions with Earth and the Solar System to advance space weather modeling and prediction capabilities applicable to space weather forecasting , and support the transition of space weather models and technology from research to operations and from operations to research.
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
11/02/2020
Obligated Amount
$476.7k
W913E521C0001 - RESEARCH AND DEVELOPMENT SERVICES - BASE YEAR U437A00
Definitive Contract - 541715 Research and Development in the Physical, Engineering, and Life Sciences
Contractor
University of California (UNIVERSITY OF CALIFORNIA, SANTA BARBARA)
Contracting Agency/Office
Army»Army Corps of Engineers»Engineering Research and Development Center»Cold Regions Research and Engineering Laboratory
Effective date
10/20/2020
Obligated Amount
$125k
FA945321C0036 - USE OF DESCARTES LABS PLATFORM FOR THE PROVISION OF ML AND AI FOR DATA FUSION ACROSS A MULTI SENSOR ENVIRONMENT
Definitive Contract - 541715 Research and Development in the Physical, Engineering, and Life Sciences
Contractor
DESCARTES LABS, INC.
Contracting Agency/Office
Effective date
10/20/2020
Obligated Amount
$250k
FA520921P0015 - THIS RESEARCH PROJECT AIMS TO DEVELOP MACHINE LEARNING (ML) AND NATURAL LANGUAGE PROCESSING (NLP) BASEDMETHODS TO DETECT CRYPTOGRAPHIC PRIMITIVES AND ENSURE THEIR COMPLIANCE WITH DEFENSE ENFORCED STANDARDS.
Purchase Order - 541715 Research and Development in the Physical, Engineering, and Life Sciences
Contractor
COMMONWEALTH SCIENTIFIC AND IN DUSTRIAL RESEARCH ORGANISATIO (COMMONWEALTH SCIENTIFIC AND INDUSTRIAL RESEARCH ORGANISATION)
Contracting Agency/Office
Air Force
Effective date
10/14/2020
Obligated Amount
$75k
FA875020C1029 - MOBILE NETWORK TRAFFIC
Definitive Contract - 541715 Research and Development in the Physical, Engineering, and Life Sciences
Contractor
GUIDEPOINT SECURITY LLC
Contracting Agency/Office
Air Force»Air Force Materiel Command»Air Force Research Laboratory»Sensors Directorate
Effective date
09/30/2020
Obligated Amount
$915.4k

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