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48,453 grants matching “machine learning”
JHU Center for the Advancement of HIV Neurotherapeutics (JHU CAHN)
$1,456,064Leah Helane Rubin · Johns Hopkins University · P30 · FY2025 · MH
A BRAIN Initiative Resource: The Neuroscience Multi-omic Data Archive
$1,455,994Owen R White · University Of Maryland Baltimore · R24 · FY2023 · MH
Drivers of individual variation in influenza vaccine response and protection from infection
$1,455,916Sarah Cobey · University Of Chicago · R01 · FY2023 · AI
A Technology-Driven Intervention to Improve Early Detection and Management of Cognitive Impairment
$1,455,139Leah R Hanson · Healthpartners Institute · R33 · FY2024 · AG
Georgia Comprehensive Metabolomics and Proteomics Unit for MoTrPAC
$1,454,824Eric A Ortlund · Emory University · U24 · FY2021 · DK
Retinal eye-tracking as a prognostic tool for traumatic brain injury and concussion
$1,454,697Christy Kathleen Sheehy · C. Light Technologies, Inc. · R44 · FY2022 · NS
Clinical and Informatics Research on Large Clinical Databases
$1,454,664Clement McDonald · National Library Of Medicine · ZIA · FY2024 · LM
Proto-OKN Theme 1: BioBricks-OKG An Open Knowledge Graph For Cheminformatics And Chemical Safety
$1,454,200Thomas Luechtefeld · Insilica, Llc · · FY2023 · TIP
Validation of the Mayo Test Drive Screening Battery Composite and Stricker Learning Span for Early Detection and Monitoring of Cognitive Decline in Preclinical and Prodromal Alzheimerâs Disease
$1,453,969Nikki H Stricker · Mayo Clinic Rochester · R01 · FY2024 · AG
Cortical reorganization and plasticity In the healthy brain
$1,453,268Leonardo Gregorio Cohen · National Institute Of Neurological Disorders And Stroke · ZIA · FY2025 · NS
SBIR Phase II: Disruptive Semiconductor Software Tool for Recipe Optimization for Deposition and Etching Processes
$1,452,475Meghali J Chopra · Sandbox Semiconductor Incorporated · · FY2020 · TIP
Excellence in research: Leveraging Machine Learning for Fundamental Investigation of Anomalous Transport Phenomena of Nano-Fluids and Modulated using External Stimuli
$1,452,420Shahin Shafiee · Prairie View A & M University · · FY2024 · ENG
Computational studies of membrane transport proteins
$1,451,533Lucy Forrest · National Institute Of Neurological Disorders And Stroke · ZIA · FY2025 · NS
Bioinformatics
$1,450,563Leping Li · National Institute Of Environmental Health Sciences · ZIA · FY2022 · ES
Advanced training in environmental health and data science: molecules to populations
$1,450,033Gary W Miller · Columbia University Health Sciences · T32 · FY2021 · ES
DMREF/Collaborative Research: Architecting DNA Nanodevices into Metamaterials, Transducing Materials, and Assembling Materials
$1,450,000Carlos E Castro · Ohio State University, The · · FY2023 · ENG
BIO-AI: The mechanistic and theoretical foundations of exploratory learning in rats
$1,450,000Ehren L Newman · Indiana University · · FY2025 · BIO
SBIR Phase II: Early Detection of Pancreatic Cancer using Multiplex Protein Profiling
$1,449,998Ilya Alexandrov · Activsignal, Llc · · FY2020 · TIP
SBIR Phase II: IoT System for Small Arms Detection and Response
$1,449,994Michael Canty · Armaments Research Company, Inc. · · FY2019 · TIP
Characterizing and improving children's block-building skills: Interdisciplinary studies using approaches from cognitive science and computer science
$1,449,434Amy L Shelton · Johns Hopkins University · · FY2016 · EDU
Area B: Multi-Tracer Volumetric PET (MTV-PET) to Measure Tumor Glutamine and Glucose Metabolic Rates in a Single Imaging Session
$1,448,329David A Mankoff · University Of Pennsylvania · R33 · FY2017 · CA
UCSF Stanford Endometriosis Center for Discovery, Innovation, Training and Community Engagement
$1,447,782Linda C Giudice · University Of California, San Francisco · P01 · FY2021 · HD
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.
$1,447,728Remote Sensing Systems · · FY2021 · National Aeronautics and Space Administration
ReDDDoT Phase 2: Leveraging Urban AI as a Communal Tool for Connection and Exchange in Harlem
$1,447,662Gil Eyal · Columbia University · · FY2024 · TIP
Profiling the human gut microbiome for potential analgesic bacterial therapies
$1,446,416Philip Peter Strandwitz · Holobiome, Inc. · R34 · FY2021 · NS