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15,895 grants matching “artificial intelligence”
ReDDDoT Phase 1: Planning Grant: Writing Education through Design-Oriented AI
$300,000Matthew D Stone · Rutgers University New Brunswick · · FY2024 · TIP
Collaborative Research: CPS: Medium: Empowering Prosumers in Electricity Markets Through Market Design and Learning
$300,000Subhonmesh Bose · University Of Illinois At Urbana-Champaign · · FY2020 · ENG
ReDDDot Phase 1: Planning Grant: Prioritization of Housing & Behavioral Health Services to Individuals and Families
$300,000Amulya Yadav · Pennsylvania State Univ University Park · · FY2024 · TIP
Developing a Digital Sketching Application That Delivers Personalized Feedback to Improve Student Learning and Engagement in Micropaleontology
$300,000Tracy A Hammond · Texas A&M Engineering Experiment Station · · FY2020 · EDU
Collaborative Research: OAC: Core: Cross-layered Data Management to Reduce Data Movement in HPC Workflows
$300,000Manish Parashar · University Of Utah · · FY2025 · CSE
EPSCoR Research Fellows: NSF: Building a Reliable and Transparent Predictive Condition Monitoring System for Distributed Wind Energy in Rural Areas with Permissioned Blockchain
$300,000Gang Li · Mississippi State University · · FY2025 · O/D
Collaborative Research: SHF: Small: Reimagining Communication Bottlenecks in GNN Acceleration through Collaborative Locality Enhancement and Compression Co-Design
$300,000Fengguang Song · Indiana University · · FY2023 · CSE
EAGER: ADAPT: AI-based Categorization to Decipher Reaction Mechanisms from Cyclic Voltammetry
$299,999Chong Liu · University Of California-Los Angeles · · FY2021 · MPS
Collaborative Research: CSR:Small: Decoupled-LSM: A Decoupled Log-Structured-Merge Tree-based Key-Value Store Over the Disaggregated Infrastructure
$299,999Zhichao Cao · Arizona State University · · FY2024 · CSE
EAGER: Artificial Intelligence to Understand Engineering Cultural Norms
$299,999Karin Jensen · Regents Of The University Of Michigan - Ann Arbor · · FY2024 · ENG
PFI-TT: Virtual Physical Therapy Using Mobile Devices and Artificial Intelligence
$299,999Sujit Dey · University Of California-San Diego · · FY2021 · TIP
SCH: Multidimensional Microfluidic Salivary Sensor with Adversarial Knowledge Distillation for Point-of-Care Assessment of Periodontitis and Comorbidities
$299,999Rong R. Wang · Illinois Institute Of Technology · R01 · FY2021 · DE
**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 FOCUS OF THIS PROPOSAL IS TO ENCOURAGE INTERNATIONAL COLLABORATIONS THAT WOULD STRENGTHEN THE OUTCOMES OF THE AIFARMS AI INSTITUTE AND THEREBY BENEFIT U.S. AGRICULTURE. EACH RESEARCH THRUST INCORPORATED INTO THIS PARTNERSHIP AIMS TO IMPROVE THE AGRICULTURAL TOOLS AND SYSTEMS ADDRESSED IN THEIR CORE RESEARCH MISSIONS. THE FIRST BENEFIT WILL BE TO ENHANCE THE LEVEL OF AUTONOMY, SCALE, AND CAPABILITIES OF DIGITAL AGRICULTURE TOOLS AND SYSTEMS RELATED TO AUTONOMOUS FARMING. THE SECOND RESEARCH DIRECTION - ENVIRONMENTAL RESILIENCE IN AGRICULTURE - WILL IMPROVE THE MODELS USED TO PREDICT COMPLEX AND MULTIDIMENSIONAL DATASETS FROM THE PLANT TO FIELD REGIONS. THESE AIM TO IMPROVE BREEDING FOR YIELD, DISEASE RESISTANCE, AND NUTRIENT USE EFFICIENCY ACROSS DIVERSE CROP SYSTEMS. THE SOIL MONITORING AND HEALTH THRUST WILL ADVANCE FUNDAMENTAL UNDERSTANDING OF SOIL BIOGEOCHEMICAL PROCESSES AND HENCE NUTRIENT FLOWS IN SOILS USING AI BASED SCIENCE, AS WELL AS CLOSING THE LOOP FROM SENSING TO ACTUATION FOR NUTRIENT MANAGEMENT, BOTH KEY STEPS IN REDUCING NUTRIENT CONTAMINATION IN US WATERWAYS. THE TECHNOLOGY ADOPTION RESEARCH WILL BENEFIT FROM AN IMPROVED SHARED UNDERSTANDING OF ECONOMIC MODELING FRAMEWORKS FOR ADOPTION OF DIGITAL AND AI TECHNOLOGIES, INCORPORATE NOVEL DEEP LEARNING APPROACHES TO SCALE UP ECONOMIC MODELS, AND IMPROVE UNDERSTANDING OF DIFFERENTIAL PUBLIC POLICY AND INSTITUTIONAL CONTEXTS IN THE U.S. AND THE EU AND THEIR IMPACT ON ADOPTION OF TECHNOLOGIES FOR MORE SUSTAINABLE AGRICULTURAL PRACTICES.PHENOROB EXPERTISE IN ROBOTICS, COMPUTER VISION, HIGH-THROUGHPUT PHENOTYPING, AND AGRICULTURAL ECONOMICS IS COMPLEMENTARY TO AIFARMS RESEARCH GOALS ACROSS THE FOUR CROP-FOCUSED RESEARCH THRUST. THE INTERNATIONAL PARTNERSHIP PROPOSED WOULD ALLOW COMMON AGRICULTURAL RESEARCH CHALLENGES TO BE ADDRESSED. A FEW EXAMPLES WOULD INCLUDE DECREASING DEPENDENCE ON HERBICIDES WITH MECHANICAL WEEDING ROBOTS, INTEGRATION OF HYPER/MULTISPECTRAL DATA ACROSS SCALES FOR IMPROVED PLANT BREEDING, SOIL-ROOT INTERACTIONS, AND MORE COMPREHENSIVE ECONOMIC FRAMEWORKS FOR IMPROVED TECHNOLOGICAL ADOPTION.THIS PROJECTWILL STRENGTHEN THE SCIENTIFIC RESEARCH BEING COMPLETED AS PART OF AIFARMS. THIS RESEARCH INCLUDES ADVANCES IN ARTIFICIAL INTELLIGENCE (AI), THEORY AND PRACTICE, TO ADDRESS KEY CHALLENGES AGRICULTURE. IMPROVEMENTS TO AUTONOMY AND ADDITIONAL FOUNDATIONAL AI RESEARCH AREAS CAN INCREASE AGRICULTURAL OUTPUTS WHILE REDUCING ENVIRONMENTAL IMPACT. ADDITIONALLY, AI CAN MINE THE SIGNIFICANT AMOUNT OF DIVERSE SPATIAL AND TEMPORAL SCALE AGRICULTURAL DATA TO ALLOW FOR DATA DRIVE - DECISION BASED APPROACHES FOR CROP IMPROVEMENT.A CORE MISSION OF AIFARMS AND PHENOROB IS TO DEVELOP TECHNOLOGIES THAT WILL BE OF BENEFIT TO U.S. FARMERS. THESE TECHNOLOGIES ARE EVALUATED BY THE AIFARMS TECHNOLOGY ADOPTION TEAM FOR THE FEASIBILITY OF FARMER ADOPTION WITH A COMPLEMENTARY FOCUS FROM THE PHENOROB TEAM REGARDING ROBOTICS FOR COVER CROP ADOPTION. TRAINING THE NEXT GENERATION OF SCIENTIST AND,INCREASING THE DIVERSITY OF STUDENTS AND RESEARCHERS IS AT THE CORE OF AIFARMS EDUCATION AND OUTREACH. THE AIFARMS-PHENOROB PARTNERSHIP WILL CONTINUE TO FOCUS ON THE DEVELOPMENT OF A DIVERSE WORKFORCES, INCLUDING TRAINING OF PHD STUDENTS WITH STUDENT EXCHANGE AND STRONG PARTNERSHIPS WITH TUSKEGEE UNIVERSITY A TOP RANKED HBCU. FINALLY, THIS SUPPLEMENT WILL FOCUS ON IMPROVING THE OUTCOMES OF INTERNATIONAL RESEARCH COMMUNITIES TO FOCUS ON PROBLEM CRITICAL ADDRESS MODERN AGRICULTURE WITH THE FORMATION OF A JOINT COMMUNITY HUB TO USE DATA SHARING FOR SOLVING GRAND CHALLENGES IN U.S. AGRICULTURE.
$299,999University Of Illinois · · FY2023 · National Institute of Food and Agriculture
IRES Track I: International Research Experience for Students on Non-Volatile Processor Based Self-Powered Embedded Systems
$299,999Jingtong Hu · University Of Pittsburgh · · FY2018 · O/D
EAGER: Type II: Deep Learning and Combinatorial Algorithms for Inorganic Crystal Structure Prediction
$299,999Sanguthevar Rajasekaran · University Of Connecticut · · FY2019 · MPS
PFI-TT: Artificial Intelligence System for Enterprise Performance Management that Integrates Causal Analytics and Human Expertise
$299,999Wenwen Dou · University Of North Carolina At Charlotte · · FY2022 · TIP
EAGER: Private Blockchain-Enabled Federated Learning Framework for Distributed Manufacturing Networks
$299,999Thorsten Wuest · West Virginia University Research Corporation · · FY2024 · ENG
EAGER: Towards Crowd-Sourced Artifact Curation for Cyberattacks through a Learner-Centered AI Co-Pilot
$299,999Michael Zuzak · Rochester Institute Of Tech · · FY2024 · CSE
Collaborative Research: Elements: A Cyberinfrastructure for Seamlessly Integrating Lossy Compression into Neural Networks for Scientific Applications
$299,999Franck Cappello · University Of Chicago · · FY2025 · CSE
FuSe-TG: Reconfigurable Threshold Logic via Flexible Thin Film Electronics: A Pathway to Semiconductor Workforce Development
$299,999Savas Kaya · Ohio University · · FY2023 · ENG
IUCRC Phase I George Mason University: Center for Wireless Innovation towards Secure, Pervasive, Efficient, and Resilient Next G Networks (WISPER)
$299,999Brian L Mark · George Mason University · · FY2024 · CSE
IRES Track 1: International Research Experiences in Learning based Connected and Autonomous Vehicles (CAVs) with Real-World Implementations
$299,999Seta O Bogosyan · Cuny City College · · FY2023 · O/D
Improved Human-Computer Interaction for Design of Complex Systems
$299,999Guy Hoffman · Cornell University · · FY2016 · ENG
SBIR 136 - KITWARE: Viime Extract: An AI-powered Knowledge Graph Extraction System for Metabolomics
$299,999Jeff Baumes · Kitware, Inc. · N43 · FY2024 · AI
eMB: Leveraging artificial intelligence velocimetry to solve mysteries of cerebrospinal fluid flow in the brain
$299,999Kimberly A Boster · University Of Rochester · · FY2025 · MPS