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48,453 grants matching “machine learning”
Enhancing Programming and Machine Learning Education for Students with Visual Impairments through the Use of Compilers, AI and Cloud Technologies
$770,939Wei Wang · University Of Texas At San Antonio · · FY2022 · CSE
Teen screen diets and their relationships with dietary intake: setting the stage for precision interventions and evidence-based policies
$770,845Thomas N Robinson · Stanford University · R01 · FY2025 · HL
Host and microbial risk factors of oral thrush in cancer patients receiving chemotherapy
$770,829Patricia Diaz · State University Of New York At Buffalo · R01 · FY2023 · DE
Drug repurposing for Alzheimer's disease using structural systems pharmacology
$770,770Lei Xie · Hunter College · R56 · FY2017 · AG
Genetic Factors in Keratoconus
$770,725Yaron S Rabinowitz · Cedars-Sinai Medical Center · R01 · FY2017 · EY
Understanding the dynamic interactions between tau pathology and microglia-mediated inflammation in Alzheimer's Disease
$770,628Ajay Gupta · Weill Medical Coll Of Cornell Univ · R56 · FY2019 · AG
Neurophenotypic Trajectories and Behavioral Outcomes in Autism Spectrum Disorder
$770,599David G Amaral · University Of California At Davis · R01 · FY2015 · MH
Using Theory- and Data-Driven Neurocomputational Approaches and Digital Phenotyping to Understand RDoC Acute and Potential Threat
$770,597Alexander Joseph Shackman · Univ Of Maryland, College Park · R01 · FY2023 · MH
Probing Dose Limits in Cardiac SPECT with Reconstruction and Personalized Imaging
$770,494Miles N Wernick · Illinois Institute Of Technology · R01 · FY2016 · HL
Probing Dose Limits in Cardiac SPECT with Reconstruction and Personalized Imaging
$770,494Miles N Wernick · Illinois Institute Of Technology · R01 · FY2018 · HL
Probing Dose Limits in Cardiac SPECT with Reconstruction and Personalized Imaging
$770,494Miles N Wernick · Illinois Institute Of Technology · R01 · FY2017 · HL
Removing and Manipulating Emotional Information in Working Memory: Cognitive and Neural Representations
$770,369Marie Banich · University Of Colorado · R56 · FY2021 · MH
Enteric Pathogen Force of Infection among Children using Serology
$770,344Benjamin F Arnold · University Of California, San Francisco · R01 · FY2025 · AI
Arrhythmia mapping using electromechanical wave imaging
$770,330Elisa E Konofagou · Columbia University Health Sciences · R01 · FY2023 · HL
Dexterous BMIs for tetraplegic humans utilizing somatosensory cortex stimulation
$770,311Richard A Andersen · California Institute Of Technology · U01 · FY2017 · NS
CSF, MRI, and PET biomarkers of neuroinflammation in Alzheimer's disease
$770,283William Tzu-Lung Hu · Emory University · R01 · FY2016 · AG
Leveraging a Natural Experiment to Estimate the Effects of School Racial Segregation on Cardiovascular Risk Factors among Youth and Young Adults
$770,274Rita Hamad · University Of California, San Francisco · R01 · FY2021 · HL
Elucidating hereditary transthyretin-mediated heart failure risk using machine learning, polygenic risk and recall by genotype approaches in African ancestry individuals
$770,230Ron Do · Icahn School Of Medicine At Mount Sinai · R01 · FY2021 · HL
Integrative genomic and functional genomic studies to connect variant to function for CAD GWAS loci
$770,223Hanrui Zhang · Columbia University Health Sciences · R01 · FY2025 · HL
Cardiovascular risk from comprehensive evaluation of the CT calcium score exam
$770,193David L Wilson · Case Western Reserve University · R01 · FY2024 · HL
SenSE: Smart Grasper for Intelligent Surgical Manipulation
$770,168Blake Hannaford · University Of Washington · · FY2020 · CSE
EXPOSURE TO AMBIENT CONCENTRATIONS OF OZONE (O3) IS THE SECOND LARGEST POLLUTION-RELATED RISK OF PREMATURE DEATH IN THE US LEADING TO APPROXIMATELY 20 000 PREMATURE DEATHS ANNUALLY. TENS OF MILLIONS OF US CITIZENS LIVE IN AREAS WHERE O3 CONCENTRATIONS EXCEED FEDERAL STANDARDS. WHILE AIR QUALITY FORECASTS COULD MINIMIZE THESE EXPOSURE RISKS AND HELP DEVELOP ATTAINMENT STRATEGIES ACCURATE AND RELIABLE O3 FORECASTS HAVE BEEN ELUSIVE OWING TO THE COMPUTATIONAL COMPLEXITY OF O3 AIR QUALITY MODELING. FROM THE PREDICTION OF URBAN-SCALE POLLUTION DISTRIBUTIONS TO SHORT-TERM O3 FORECASTS TO BETTER UNDERSTANDING THE RELATIONSHIP BETWEEN O3 AND CLIMATE CHANGE A PERSISTENT CHALLENGE IN THE ATMOSPHERIC COMMUNITY IS THE COMPUTATIONAL EXPENSE OF CHEMISTRY WITHIN THE MODELS USED TO RESEARCH THESE PROBLEMS. TO ADDRESS THESE CHALLENGES THIS PROJECT AIMS AT BUILDING A ROBUST AND COMPUTATIONALLY EFFICIENT CHEMICAL DA SYSTEM MERGING RESEARCH IN COMPRESSIVE SAMPLING AND MACHINE LEARNING FOR LARGE- SCALE DYNAMICAL SYSTEMS. IN PARTICULAR WE WILL USE LOW-RANK TENSOR REPRESENTATIONS DEMONSTRATED RECENTLY FOR THE FIRST TIME BY CO-PI DOOSTAN FOR SURROGATE MODELING OF CHEMICAL KINETICS. THIS APPROACH ALLOWS FOR EFFICIENT CONSTRUCTION OF A SURROGATE WHICH ITSELF IS VERY COMPUTATIONALLY CHEAP TO EVALUATE. OUR APPROACH WILL ALSO DRAW FROM EXPERTISE IN POLYNOMIAL CHAOS EXPANSIONS (PCE A SPECTRAL REPRESENTATION OF THE MODEL SOLUTION THAT CAN BE CONSTRUCTED NONINTRUSIVELY I.E. BY TREATING THE CHEMICAL MODEL AS A BLACK BOX) COUPLED WITH MULTISCALE STOCHASTIC PRECONDITIONERS (TO ADDRESS STIFFNESS OF THE CHEMICAL SYSTEM) TO DEVELOP FAST SURROGATE MODELS FOR ATMOSPHERIC CHEMISTRY. IN PARTICULAR WE WILL ACCOMPLISH THE FOLLOWING OBJECTIVES: (1) DEVELOP TEST AND DELIVER A SURROGATE MODEL FOR THE CHEMICAL SOLVER IN A WIDELY USED AQ MODEL (GEOS-CHEM). (2) GENERALIZE THE SURROGATE MODEL GENERATION PROCEDURE WITHIN A SOFTWARE TOOLBOX APPLICABLE TO ANY USER-PROVIDED CHEMICAL MECHANISMS. (3) DEMONSTRATE THE BENEFITS OF USING A SURROGATE-BASED AQ MODELING FRAMEWORK FOR ASSIMILATION OF GEOSTATIONARY OBSERVATIONS OF ATMOSPHERIC COMPOSITION TO IMPROVE O3 SIMULATIONS. THIS PROJECT WILL ADVANCE COMPUTATIONAL TOOLS AVAILABLE FOR AQ PREDICTION MITIGATION AND RESEARCH. NOT ONLY DO WE AIM TO DELIVER A SURROGATE MODEL FOR THE CHEMICAL MECHANISM OF AN AQ MODEL USED BY A VERY LARGE RESEARCH COMMUNITY (GEOS-CHEM) WE WILL PROVIDE A SOFTWARE TOOLBOX FOR GENERATION OF SURROGATE MODELS FOR ANY USER-PROVIDED MECHANISM. THE POTENTIAL IMPACTS THOUGH ARE MUCH GREATER AS IMPROVEMENTS IN COMPUTATIONAL EXPEDIENCY COULD AFFECT RESEARCH IN AREAS FROM URBAN AIR POLLUTION MODELING TO LONGTERM STUDIES OF CHEMISTRY-CLIMATE INTERACTIONS. ELIMINATING THE COMPUTATIONAL BOTTLENECK ASSOCIATED WITH CHEMISTRY WILL IN TURN HELP TO PROMOTE THE BROADER USE OF DATA ASSIMILATION WITHIN OTHER AQ FORECASTING SYSTEMS. AS A CASE STUDY WE WILL EXPLORE AND DEMONSTRATE THE BENEFITS OF SURROGATE MODELING FOR 4D-VAR ASSIMILATION USING GEOSTATIONARY MEASUREMENTS OF NO2 WHICH IN THE NEXT FEW YEARS WILL BE AVAILABLE FOR THE FIRST TIME OVER NORTH AMERICA EUROPE AND EAST ASIA. THIS SUPPORTS A BROADER GOAL OF FACILITATING THE USE OF NASA REMOTE SENSING DATA FOR AIR QUALITY FORECASTING HERE IN THE US. THE PROPOSED WORK IS HIGHLY RELEVANT TO THE AIST PROGRAM AND BROADER GOALS OF THE EARTH SCIENCE AND APPLIED SCIENCES PROGRAMS. OUR WORK DIRECTLY RESPONDS TO THE NASA AIST PROPOSAL SOLICITATION FOR DATA-DRIVEN MODELING TOOLS ENABLING THE FORECAST OF FUTURE BEHAVIOR OF THE PHENOMENA AS WELL AS ANALYTIC TOOLS TO CHARACTERIZE.
$770,108The Regents Of The University Of Colorado · · FY2020 · National Aeronautics and Space Administration
SWIFT-SAT: Software Defined Radio based Emulation of SAT-Terrestrial Network Coexistence in "FR3" Bands
$770,000Narayan Mandayam · Rutgers University New Brunswick · · FY2023 · ENG
CAREER: Vibration and Texture Perception
$770,000Sliman Bensmaia · University Of Chicago · · FY2012 · BIO
MRI: RADiCAL: Reconfigurable Major Research Cyberinfrastructure for Advanced Computational Data Analytics and Machine Learning
$770,000Dhabaleswar K Panda · Ohio State University, The · · FY2020 · CSE