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15,895 grants matching “artificial intelligence”
Howard University Research Center for Minority Health and Health Disparities
$298,645William M Southerland · Howard University · U54 · FY2022 · MD
SCH: Heterogenous, dynamic synthetic data: From algorithms to clinical applications
$298,620Thomas Strohmer · University Of California At Davis · R01 · FY2023 · HL
D3SC: EAGER: Deep learning to design selective kinase inhibitors
$298,559John Karanicolas · Institute For Cancer Research · · FY2018 · MPS
Artificial Intelligence to Improve Clinical Microscopy for Diagnosis of Infectious Diseases
$298,496Mario Christoudias · · N43 · FY2023 · AI
SCH: Harnessing Tensor Information to Improve EHR Data Quality for Accurate Data-driven Screening of Diabetic Retinopathy with Routine Lab Results
$298,489Tieming Liu · Oklahoma State University Stillwater · R01 · FY2021 · EY
SCH: Harnessing Tensor Information to Improve EHR Data Quality for Accurate Data-driven Screening of Diabetic Retinopathy with Routine Lab Results
$298,489Tieming Liu · Oklahoma State University Stillwater · R01 · FY2024 · EY
SCH: Harnessing Tensor Information to Improve EHR Data Quality for Accurate Data-driven Screening of Diabetic Retinopathy with Routine Lab Results
$298,489Tieming Liu · Oklahoma State University Stillwater · R01 · FY2023 · EY
Resource Core 3 (RC3), Data Science
$298,394Jason H. Moore · Cedars-Sinai Medical Center · P30 · FY2025 · AG
Artificial Intelligence-Scaffolded Pre-Classroom Learning for Large, Introductory Undergraduate Physics Courses
$298,375Min Kyu Kim · Georgia State University Research Foundation, Inc. · · FY2023 · EDU
PFI-TT: An Artificial Intelligence Capability to Accelerate Low-Cost Commercial Polymer Design
$298,315Ramamurthy Ramprasad · Georgia Tech Research Corporation · · FY2020 · TIP
Wound management through quantitative documentation and prediction
$298,277Steven Yi · Xyken, Llc · R44 · FY2020 · AG
IRES Track I: Novel international student experiences in smart manufacturing and AI for industry 4.0
$298,255Amarnath P Banerjee · Texas A&M Engineering Experiment Station · · FY2021 · O/D
CAREER: Machine Learning Algorithms for Tackling Annotation Inequality in Protein Function Characterization
$298,251Yunan Luo · Georgia Tech Research Corporation · · FY2025 · BIO
SCH: Multidimensional Microfluidic Salivary Sensor with Adversarial Knowledge Distillation for Point-of-Care Assessment of Periodontitis and Comorbidities
$298,231Rong R. Wang · Illinois Institute Of Technology · R01 · FY2023 · DE
EAGER: SaTC-EDU: A Life-Cycle Approach for Artificial Intelligence-Based Cybersecurity Education
$298,214Elisa Bertino · Purdue University · · FY2021 · EDU
SHB: Type I (EXP): Algorithms for Unsupervised and Online Learning of Hierarchy of Features for Tuning Cochlear Implants for the Hearing Impaired
$298,203Bonny Banerjee · University Of Memphis · · FY2013 · CSE
Biomarker-enhanced Artificial Intelligence-Based Pediatric Sepsis Screening Tool Towards Early Recognition and Personalized Therapeutics
$298,130Ioannis Koutroulis · Computer Technology Associates, Inc. · R41 · FY2023 · AI
Artificially Intelligent, Autonomous Microreactors for the Discovery of Polyolefin Catalysis
$297,999Ryan L Hartman · New York University · · FY2017 · ENG
FACIAL EXPRESSION ANALYSIS BY IMAGE PROCESSING
$297,999University Of Pittsburgh At Pittsburgh · R01 · FY2003 · MH
Promoting Research Outreach and Mobile Opportunities for Technology-based Engagement in People with Physical Disabilities for Health Promotion
$297,989Tapan S Mehta · University Of Alabama At Birmingham · P50 · FY2025 · HD
GEO OSE Track 1: Advancing Open Science in Space Physics: Community-Driven Solutions and Transformative Practices for Data Access, Collaboration, and Training
$297,985Enrique L Rojas Villalba · Massachusetts Institute Of Technology · · FY2025 · GEO
**AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** FINDING NOVEL GENETIC TARGETS TO IMPROVE CROP YIELDS AND MAINTAIN QUALITY IS INCREASINGLY IMPORTANT AS PLANT BREEDERS RACE TO KEEP UP INCREASINGLY UNPREDICTABLE CLIMATES, RISING COSTS OF AGRICULTURAL INPUTS, AND THE NEED TO CONSERVE NATURAL RESOURCES. THIS PROJECT FOCUSES ON TWO THEMES TOWARDS ACCELERATING PLANT BREEDING EFFORTS: 1) DEVELOPMENT OF NEW APPROACHES FOR CHARACTERIZING PLANT TRAITS FROM HIGH RESOLUTION DRONE IMAGERY AND 2) LEVERAGING MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE TO IDENTIFY GENES IMPORTANT FOR IMPROVED CROP PERFORMANCE UNDER LOW INPUT ENVIRONMENTS. OUR PROPOSED RESEARCH WILL DETERMINE WHETHER GENOME ASSOCIATIONS WITH MULTIPLE IMAGES, INSTEAD OF JUST A SINGLE IMAGE, COULD HELP REVEAL NOVEL TARGETS FOR GENETIC IMPROVEMENT OF RICE, A CRITICALLY IMPORTANT STAPLE FOOD. RICE PRODUCTION CAN HAVE OUTSIZED ENVIRONMENTAL IMPACTS DUE TO WATER-INTENSIVE CULTIVATION SYSTEMS AND GREENHOUSE GAS EMISSIONS, AND SO DEVELOPMENT OF VARIETIES THAT PERFORM WELL UNDER LOW-INPUT CONDITIONS IS A TOP PRIORITY. ADDITIONALLY, WE WILL DETERMINE WHETHER GENETIC VARIANTS ASSOCIATED WITH IMPROVED NITROGEN AND WATER USE EFFICIENCY COULD BE DETERMINED FROM EXISTING ECOLOGICAL AND GENOMIC DATASETS. OUR MODEL PUBLIC-PRIVATE PARTNERSHIP CONTRIBUTES TO THE NATIONAL ARTIFICIAL INTELLIGENCE INITIATIVE THROUGH ITS FOCUS ON INCREASING CROP YIELDS WHILE CONSERVING NATURAL RESOURCES, AND CONTRIBUTES TO THE DESIGN AND VALIDATION OF NOVEL METHODS FOR ANALYSIS AND INTEGRATION OF BIG AGRICULTURAL DATA, ONE OF THE TOP PRIORITIES FOR THE DATA SCIENCE FOR FOOD AND AGRICULTURAL SYSTEMS PROGRAM AREA.DEVELOPMENT OF RICE VARIETIES WITH IMPROVED PERFORMANCE UNDER LOW WATER INPUT MANAGEMENT CONDITIONS WILL HELP TO CONSERVE FRESHWATER RESOURCES IN THE FACE OF INCREASING WATER SCARCITY. ADDITIONALLY, REDUCING FERTILIZER INPUTS THROUGH DEVELOPMENT OF NITROGEN-EFFICIENT RICE VARIETIES AND PRECISION MANAGEMENT TOOLS WILL REDUCE NUTRIENT POLLUTION AND DECREASE GREENHOUSE GAS EMISSIONS IN WATER-LIMITED RICE PRODUCTION SYSTEMS. REDUCED INPUT COSTS FOR IRRIGATION AND FERTILIZER WILL TRANSLATE TO IMPROVED ECONOMIC VIABILITY FOR RICE PRODUCTION, AS COSTS FOR NITROGEN AND WATER INPUTS CONTINUE TO RISE. BEYOND RICE, OUR APPROACH TO IDENTIFYING GENES ASSOCIATED WITH REDUCED INPUTS IN MODERN AGRICULTURAL SYSTEMS COULD BE BROADLY APPLICABLE TO OTHER CROPS AND SYSTEMS.
$297,976Arkansas State University · · FY2023 · National Institute of Food and Agriculture
Improving the accessibility and relevance of Medical Nutritional Therapy among people with Type 2 diabetes in the Latino community through a customizable, AI-powered application.
$297,877Shireen Abdullah · Kamin Consulting, Inc. · R43 · FY2021 · NR
Collaborative Research: RI: Small: Unsupervised Islamicate Manuscript Transcription via Lacunae Reconstruction
$297,845Matthew T Miller · University Of Maryland, College Park · · FY2022 · CSE
Research Ethics in STEM: Network Building and Graduate Student Training
$297,801Martha Kenney · San Francisco State University · · FY2022 · SBE