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15,895 grants matching “artificial intelligence”
MFB: Partnerships to Transform Emerging Industries - RNA Tools/Biotechnology: Stabilizing Hairpin Inserts in RNA Virus Induced Gene Silencing Vectors
$1,000,000Anne E Simon · University Of Maryland, College Park · · FY2024 · MPS
Collaborative Research: CNS Core: Medium: TeTON: A Testbed and a Toolkit for Expediting Investigation of and Accelerating Advancements in All-Optical Neural Networks
$1,000,000Andrea Fumagalli · University Of Texas At Dallas · · FY2022 · CSE
NSF Engines Development Award: Advancing equitable access to food and health technologies in the Delta (AR, LA, MS)
$1,000,000Joseph Thompson · University Of Arkansas Medical Sciences Campus · · FY2023 · TIP
NEW START REP GRANT FOR PROPOSAL INTEGRATION OF DIAMOND WITH ULTRAWIDE BANDGAP OXIDES: GROWTH, CHARACTERIZATION, AND MODELING WITH ARTIFICIAL INTELLIGENCE
$1,000,000Texas State University · · FY2025 · Department of the Army
SHF: Medium: A Technology-Architecture-Algorithm Co-Design Exploration of Scalable Spiking Neural Networks (SNNs)
$1,000,000Chitaranjan Das · Pennsylvania State Univ University Park · · FY2020 · CSE
Collaborative Research: DMREF: OP: Multi-Scale Engineered Metamaterials Approaching Fundamental Limits of Linear and Nonlinear Susceptibilities
$1,000,000Arka Majumdar · University Of Washington · · FY2025 · MPS
PIPP Phase I: Heterogeneous Model Integration for Infectious Disease Intelligence
$1,000,000John M Drake · University Of Georgia Research Foundation Inc · · FY2022 · BIO
** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** ONE OF THE CHALLENGES FACING DAIRY FARMERS IS MONITORING THE HEALTH OF THEIR COWS DURING THE TRANSITION PERIOD BEFORE AND AFTER CALVING. ONE REASON FOR THIS CHALLENGE IS THE LACK OF INTEGRATED COW-LEVEL INFORMATION AMONG THE DIFFERENT TECHNOLOGIES USED TO MONITOR THE COWS. WHILE ADVANCED TECHNOLOGY SUCH AS ARTIFICIAL INTELLIGENCE (AI) HAS BEEN PROPOSED TO ADDRESS THIS CHALLENGE, ITS COST-EFFECTIVENESS AND FEASIBILITY FOR EARLY DETECTION OF PERIPARTUM DISEASES IN DAIRY COWS HAVE NOT BEEN EVALUATED. ADDITIONALLY, THE APPLICATION OF AI IN THE LIVESTOCK SECTOR HAS NOT BEEN WIDELY DISSEMINATED TO POTENTIAL USERS. IN THIS PROJECT, WE AIM TO DEVELOP A COMPUTER VISION SYSTEM THAT COMBINES BODY SHAPE AND FEEDING BEHAVIOR DATA TO IMPROVE THE HEALTH AND WELFARE OF COWS ON FARMS. WE WILL EVALUATE THE ECONOMIC IMPACT ON FARMS AND ASSESS CONSUMER WILLINGNESS-TO-PAY FOR PRODUCTS WITH IMPROVED ANIMAL HEALTH AND WELFARE. THIS PROJECT WILL ALSO INCLUDE OUTREACH ACTIVITIES TO EDUCATE STUDENTS AND STAKEHOLDERS ON THE USE OF AI AND TECHNOLOGY IN LIVESTOCK. OUR GOAL IS TO CREATE A POWERFUL PREDICTIVE MODEL THAT ACCURATELY DETECTS PERIPARTUM DISEASES IN DAIRY COWS IN REAL-TIME AND TO EVALUATE ITS ECONOMIC AND SOCIETAL IMPACT.
$1,000,000University Of Wisconsin System · · FY2023 · National Institute of Food and Agriculture
Multispray Technology for Studying Biomolecular Interactions
$1,000,000Daojing Wang · Newomics, Inc · R44 · FY2025 · GM
**AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** PRECISION LIVESTOCK FARMING (PLF) FEATURES REAL-TIME MONITORING OF ANIMAL-BASED MEASURES (ABMS) USING ADVANCED TECHNOLOGIES TO ASSIST ANIMAL PRODUCERS IN FARM MANAGEMENT. IN BROILER SECTOR, FEW PLF SYSTEMS ARE AVAILABLE AND NO OUTLET IS AVAILABLE TO DISSEMINATE POTENTIAL BENEFITS OF PLF TO STAKEHOLDERS. THERE IS A CLEAR NEED TO ADDRESS THESE DEFICIENCIES THROUGH INTEGRATIVE EFFORTS AMONG INTERDISCIPLINARY RESEARCHERS AND EXTENSION EXPERTS IN THE FIELDS OF ANIMAL/POULTRY SCIENCE, COMPUTER SCIENCE, AND AGRICULTURAL ENGINEERING. WITH INCLUSION OF ALL ABOVE EXPERTISE, WE PROPOSE TO DEVELOP, APPLY, AND DEMONSTRATE A NOVEL AND AFFORDABLE VISION-BASED PLF TECHNOLOGY FOR REAL-TIME BROILER ABM MEASUREMENT THROUGH A SERIES OF RESEARCH AND EXTENSION ACTIVITIES. TO ACHIEVE THIS GOAL, THE INTEGRATED PROJECT OBJECTIVES ARE TO:DEVELOP AND EVALUATE A COMPUTER VISION SYSTEM (CVS) FOR REAL-TIME MONITORING OF SEVERAL BROILER ABMS, INCLUDING KEY WELFARE INDICATORS (GAIT SCORE, ACTIVITY, FLOCK DISTRIBUTION) AND BEHAVIORAL RESPONSES (STRETCHING, PREENING, DUSTBATHING, EATING AND DRINKING) [RESEARCH]DETERMINE BASELINE ABMS AND IDENTIFY THE INTERACTIONS OF THE AMBS WITH TWO MANAGEMENT FACTORS, I.E. STOCKING DENSITY AND LIGHT INTENSITY, IN LAB- AND FARM-SCALE TRIALS. [RESEARCH]ENHANCE AND FINALIZE THE CVS WITH DATA COLLECTED IN OBJ 2 AND STAKEHOLDER FEEDBACK COLLECTED IN OBJ 4. [RESEARCH]ESTABLISH A PLF MODULE IN REGIONAL AND NATIONAL POULTRY EXTENSION PROGRAMS THROUGH NEEDS ASSESSMENTS, SURVEYS, TRAINING SESSIONS, COURSE DEVELOPMENT AND EVALUATIONS; AND DEMONSTRATE AND DISSEMINATE THE FINAL CVS SYSTEM DESIGN AND RESEARCH OUTCOMES AMONG FARMERS AND OTHER STAKEHOLDERS. [EXTENSION]THIS STANDARD USDA-AFRI PROJECT ADDRESSES PROGRAM AREA PRIORITY A1261 - INTER-DISCIPLINARY ENGAGEMENT IN ANIMAL SYSTEMS, ALIGNED WITH PRECISION ANIMAL MANAGEMENT, AND USDA STRATEGIC GOALS 2 AND 3. PROJECT LEADERSHIP WILL LEVERAGE A STRONG TEAM OF RESEARCHERS AND EXTENSION EXPERTS WITH DIVERSE BACKGROUNDS IN PLF, POULTRY PRODUCTION, POULTRY WELFARE, ARTIFICIAL INTELLIGENCE, IMAGE PROCESSING, AND SENSORING. A CAMERA SYSTEM FOR BIRD ACTIVITY AND DISTRIBUTION MONITORING IS CURRENTLY DEPLOYED AT UT'S COLLABORATIVE COMMERCIAL FARMS AND CAN BE IMMEDIATELY USED AND UPGRADED FOR THIS PROJECT UPON FUNDING. THE OUTCOME OF THIS PROJECT WILL IMPROVE THE AUTOMATION, EFFICIENCY, AND COMPETITIVENESS OF U.S. BROILER PRODUCERS IN TODAY'S LOW-PROFIT-MARGIN MEAT MARKET.
$1,000,000University Of Tennessee · · FY2022 · National Institute of Food and Agriculture
AIVIS: Next Generation Vigilant Information Seeking Artificial Intelligence-based Clinical Decision Support for Sepsis
$1,000,000Christopher Josef · Clairyon, Inc. · R42 · FY2024 · AI
NCS-FO: Investigation of cortical-hippocampal interaction during memory formation using multimodal recordings
$1,000,000Duygu Kuzum · University Of California-San Diego · · FY2020 · ENG
CC* Regional Computing: CENVAL-ARC: Central Valley Accessible Research and Computational Hub
$1,000,000Sarvani Chadalapaka · University Of California - Merced · · FY2024 · CSE
Convergence Accelerator Phase I (RAISE): Northwestern Open Access to Court Records Initiative
$1,000,000Luis N Amaral · Northwestern University · · FY2019 · TIP
CAREER: Neural circuit mechanisms of spatial target selection in the mammalian midbrain
$1,000,000Shreesh P Mysore · Johns Hopkins University · · FY2021 · BIO
NCS-FO: Neuroimaging to Advance Computer Vision, NLP, and AI
$1,000,000Jeffrey M Siskind · Purdue University · · FY2017 · CSE
NCS-FO: Understanding the computations the brain performs during choice
$1,000,000Karen A Moxon · University Of California-Davis · · FY2023 · SBE
Utilizing the Pharmacy Advances Clinical Trials (PACT) Network to Achieve Diversity in COVID Clinical Trials: A Strategic Framework
$1,000,000George O Udeani · Texas A&M University Health Science Ctr · U01 · FY2022 · FD
AIMing: AI Theorem Proving Beyond Limited Data: Efficient Learning of Mathematicians' Ecosystem
$1,000,000Azalia Mirhoseini · Stanford University · · FY2025 · MPS
AI-based AML risk stratification using next generation cytogenomics
$1,000,000Stephen Matthew Eacker · Phase Genomics, Inc. · R44 · FY2024 · CA
Automatic Organ Segmentation Tool for Radiation Treatment Planning of Cancers
$1,000,000Xue Feng · Carina Medical, Llc · R44 · FY2021 · CA
Convergence Accelerator Phase I(RAISE): Empowering Neurodiverse Populations for Employment through Inclusion AI and Innovation Science
$1,000,000Nilanjan Sarkar · Vanderbilt University · · FY2019 · TIP
Automatic Organ Segmentation Tool for Radiation Treatment Planning of Cancers
$1,000,000Xue Feng · Carina Medical, Llc · R44 · FY2020 · CA
SCH: Generative Imaging Models for Verifying and Explaining Machine Learning Systems in Healthcare
$1,000,000Preston T Fletcher · University Of Virginia Main Campus · · FY2025 · CSE
NSF Convergence Accelerator - Track D: Hidden Water and Hydrologic Extremes: A Groundwater Data Platform for Machine Learning and Water Management
$1,000,000Laura E Condon · University Of Arizona · · FY2020 · TIP