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15,895 grants matching “artificial intelligence”
**AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** FUTURE FOOD PACKAGING MATERIALS WILL PLAY AN ACTIVE ROLE IN FOOD PRESERVATION BEYOND THEIR BASIC FUNCTION AS STORAGE CONTAINERS AND, IN THE MEANTIME, NOT HARM THE ENVIRONMENT. THIS PROJECT WILL INTEGRATE COMPUTATIONAL, EXPERIMENTAL, AND DATA-DRIVEN ARTIFICIAL INTELLIGENCE METHODS TO LEVERAGE BIOPOLYMER MATERIALS FROM AGRICULTURAL AND FOREST ORIGINS AND DESIGN AND FABRICATE THEM INTO THE FORM OF NANOFIBER MATS, WHICH SHOW PROMISING POTENTIAL FOR ACTIVE FOOD PACKAGING APPLICATIONS. THIS PROJECT AIMS TO EQUIP THE NANOFIBER FORM OF THE BIOPOLYMER MATERIALS WITH GOOD MECHANICAL STRENGTH AND EXCELLENT ANTIMICROBIAL AND BIODEGRADABLE PROPERTIES. THE INTEGRATED APPROACH WILL PROVIDE A COMPREHENSIVE UNDERSTANDING OF THE COMPOSITION-STRUCTURE-PROPERTY RELATIONSHIP OF THE FABRICATED NANOFIBERS. THE PROJECT OUTCOMES CAN POTENTIALLY ADVANCE THE UTILIZATION OF BIOMATERIALS TOWARDS BIODEGRADABLE AND SUSTAINABLE FOOD PACKAGING MATERIALS.
$297,756Clemson University · · FY2022 · National Institute of Food and Agriculture
EAGER: SaTC-EDU: Integrating Cybersecurity into Artificial Intelligence Education
$297,712Casey L Fiesler · University Of Colorado At Boulder · · FY2021 · EDU
SCH: AI-Enhanced Multimodal Sensor-on-a-chip for Alzheimer's Disease Detection
$297,698Fenglong Ma · Pennsylvania State University, The · R01 · FY2023 · AG
EPSCoR Research Fellows: NSF: Developing Synchrotron-based Multi-Modal Characterization Techniques and Accelerating Solid-State Battery Design
$297,689Dong Hou · Clemson University · · FY2026 · O/D
**AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** THE SUSTAINABILITY OF IRRIGATED AGRICULTURE IN THE ARID WESTERN U.S. IS BEING THREATENED BY INCREASING WATER DEMANDS FROM A GROWING POPULATION, DIMINISHING AQUIFERS, RECURRING DROUGHTS, AND THE EFFECTS OF A CHANGING CLIMATE. THESE CONDITIONS ARE FORCING ALFALFA HAY PRODUCERS IN THE REGION TO IRRIGATE ALFALFA WITHOUT MEETING ITS FULL WATER DEMANDS. THIS PRACTICE, KNOWN AS DEFICIT IRRIGATION, INHERENTLY LEADS TO A REDUCTION IN YIELD, WHICH IN TURN ENDANGERS THE LIVELIHOOD OF RURAL COMMUNITIES IN THE WESTERN U.S. AND THREATENS THE ACCESS TO AFFORDABLE FOOD FOR URBAN COMMUNITIES IN THE SAME REGION.THE LONG-TERM GOAL OF THIS RESEARCH PROJECT IS TO HELP ALFALFA FARMERS IN THE WESTERN U.S. TO AMELIORATE THE ECONOMIC IMPACT OF PRODUCING ALFALFA WITH A LIMITED WATER SUPPLY BY DEVELOPING AN ALFALFA HAY YIELD FORECASTING TOOL (YFT) THAT CAN BE USED TO ANALYZE MANY IRRIGATION MANAGEMENT SCENARIOS AND IDENTIFY A DECISION FOR AN UPCOMING IRRIGATION EVENT (I.E., DON'T IRRIGATE OR HOW MUCH TO IRRIGATE) THAT MAXIMIZES YIELDS WITHOUT EXCEEDING A WATER QUOTA. TO ACHIEVE THIS GOAL, THE OVERALL OBJECTIVE OF THIS PROJECT IS TO IDENTIFY A COMPUTATIONAL TOOL CAPABLE OF ESTIMATING THE EFFECTS THAT AN IRRIGATION MANAGEMENT DECISION WILL HAVE IN THE SEASONAL ALFALFA HAY YIELD WITH A SATISFACTORY LEVEL OF ACCURACY AND LIMITED DATA INPUTS.WE'LL IDENTIFY SUCH A TOOL BY COMPARING FOUR COMPUTATIONAL TOOLS THAT CAN BE USED TO ESTIMATE ALFALFA HAY YIELD: TWO ARTIFICIAL INTELLIGENCE (AI) METHODS AND TWO COMPUTER PROGRAMS, KNOWN AS CROP GROWTH MODELS. WE'LL TRAIN THE AI METHODS TO ESTIMATE ALFALFA HAY YIELD AND CALIBRATE THE CROP GROWTH MODELS FOR THE SAME PURPOSE USING DATA COLLECTED IN NORTHERN NEVADA AND THE TEXAS HIGH PLAINS FROM TWO HISTORICAL AND TWO ONGOING ALFALFA EXPERIMENTS. WE'LL IDENTIFY THE AI METHOD OR CROP GROWTH MODEL THAT MORE ACCURATELY ESTIMATES ALFALFA HAY YIELD, AND WE'LL INCORPORATE THE BEST PERFORMING AI METHOD OR MODEL INTO THE YFT. THE RESULTING YFT WILL BE A COMPUTER PROGRAM THAT AGRICULTURAL RESEARCHERS OR CONSULTANTS IN THE WESTERN U.S. CAN USE TO ESTIMATE THE EFFECTS THAT DIFFERENT IRRIGATION MANAGEMENT SCENARIOS WILL HAVE IN THE ALFALFA HAY YIELD OBTAINED AT THE END OF A GROWING SEASON. WE'LL RELEASE TO THE PUBLIC THE COMPUTER CODE OF THE YFT SO THAT OTHER AGRICULTURAL RESEARCHERS OR CONSULTANTS CAN IMPROVE IT AND/OR MODIFY IT TO FIT THE NEEDS OF OTHER CROPS OR REGIONS.
$297,667Board Of Regents Of Nevada System Of Higher Education · · FY2023 · National Institute of Food and Agriculture
Scientific Communication Advances Research Excellence (SCOARE) 2.0
$297,666Carrie A. Cameron · University Of Tx Md Anderson Can Ctr · R25 · FY2025 · GM
AI-DCL: EAGER: Bias and Discrimination in City Predictive Analytics
$297,652Constantine E Kontokosta · New York University · · FY2019 · CSE
Improving Performance of a Pediatric TeleMedicine and Medication Delivery Service through mHealth Technology
$297,621Eric Jorge Nelson · University Of Florida · R33 · FY2025 · TW
BIGDATA: IA: Collaborative Research: Intelligent Solutions for Navigating Big Data from the Arctic and Antarctic
$297,608Maryam Rahnemoonfar · Lehigh University · · FY2022 · CSE
CC* Compute: GROWTH - Gateway for Increased Research Output at a West Texas Higher-education Campus
$297,538Anirban Pal · West Texas A&M University · · FY2020 · CSE
SaTC: EDU: Secure and Private Artificial Intelligence
$297,525Daniel Takabi · Old Dominion University Research Foundation · · FY2023 · EDU
EXTREME WEATHER EVENTS, SUCH AS HURRICANES, CAN SEVERELY DISRUPT AGRICULTURAL SYSTEMS, IMPACTING FOOD PRODUCTION AND LIVELIHOODS. FLORIDA, FOR EXAMPLE, EXPERIENCED EXTENSIVE AGRICULTURAL DAMAGE DURING HURRICANE MILTON, WITH LOSSES TOTALING AN ESTIMATED $2.5 BILLION. TRADITIONAL METHODS FOR ASSESSING SUCH DAMAGE ARE OFTEN SLOW, COMPLEX, AND EXPENSIVE, LIMITING THEIR EFFECTIVENESS IN TIME-SENSITIVE DISASTER RESPONSE EFFORTS. THIS PROJECT AIMS TO ADDRESS THESE CHALLENGES BY DEVELOPING AN AI CONVERSATIONAL PLATFORM THAT ENABLES FARMERS, POLICYMAKERS, AND OTHER NON-EXPERTS TO ASSESS CROP DAMAGE AND MONITOR RECOVERY USING SATELLITE DATA AND ARTIFICIAL INTELLIGENCE. THROUGH THIS INTUITIVE PLATFORM, USERS CAN ASK NATURAL-LANGUAGE QUESTIONS, SUCH AS IDENTIFYING FLOODED AREAS OR COMPARING CROP HEALTH BEFORE AND AFTER A STORM, AND RECEIVE ACCURATE AND TIMELY INSIGHTS. THE SYSTEM ENHANCES SATELLITE IMAGERY TO A RESOLUTION OF ONE METER, PROVIDING HIGHLY DETAILED INFORMATION FOR DECISION-MAKING. BY MAKING ADVANCED TECHNOLOGY ACCESSIBLE AND ACTIONABLE, THIS PLATFORM WILL HELP USERS REDUCE COSTS, IMPROVE RESILIENCE TO EXTREME WEATHER EVENTS, AND SUPPORT SUSTAINABLE AGRICULTURAL PRACTICES IN AFFECTED COMMUNITIES.
$297,453University Of Florida · · FY2025 · National Institute of Food and Agriculture
Administrative Core
$297,443Daphne A. Haas-Kogan · Dana-Farber Cancer Inst · U54 · FY2025 · CA
SCH: Leverage clinical knowledge to augment deep learning analysis of breast images
$297,442Shandong Wu · University Of Pittsburgh At Pittsburgh · R01 · FY2021 · EB
Collaborative Research: NCS-FO: Intelligent Closed-Loop Neural Interface System for Studying Mechanisms of Somatosensory Feedback in Control of Functional and Stable Locomotion
$297,148Yaoyao Jia · University Of Texas At Austin · · FY2021 · ENG
AUTOMATED KNOWLEDGE EXTRACTION FOR BIOMEDICAL LITERATURE
$297,119Brandeis University · R01 · FY2000 · LM
Collaborative Research: Elements: Building an open source DFT+eDMFT database for quantum materials
$297,108Subhasish Mandal · West Virginia University Research Corporation · · FY2023 · CSE
Computerized Radiographic Analysis of Bone Structure
$297,104University Of Chicago · R01 · FY2001 · AR
Computerized Radiographic Analysis of Bone Structure
$297,104University Of Chicago · R01 · FY2002 · AR
Computerized Radiographic Analysis of Bone Structure
$297,104University Of Chicago · R01 · FY2003 · AR
Computerized Radiographic Analysis of Bone Structure
$297,104University Of Chicago · R01 · FY2004 · AR
Data Management Core
$297,095Sanjiv J Shah · Northwestern University At Chicago · U54 · FY2024 · HL
Data Management Core
$297,095Sanjiv J Shah · Northwestern University At Chicago · U54 · FY2025 · HL
Liver Cirrhosis Network: Clinical Research Center - Mayo Clinic
$297,083Vijay H Shah · Mayo Clinic Rochester · U01 · FY2022 · DK
SCH: Simulation Optimization of Cardiac Surgical Planning
$297,007Bing Yao · University Of Tennessee Knoxville · R01 · FY2023 · HL