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15,895 grants matching “artificial intelligence”
M-ISIC: A Multimodal Open-Source International Skin Imaging Collaboration Informatics Platform for Automated Skin Cancer Detection
$906,508Veronica Miriam Rotemberg · Sloan-Kettering Inst Can Research · U24 · FY2022 · CA
Aging Pilot Core
$906,048Kathryn Helene Bowles · University Of Pennsylvania · P30 · FY2022 · AG
Convergence Accelerator Phase I (RAISE): AI-Enabled Personalized Training for Displaced Workers in Materials Supply Chain
$905,904Xiaoli Zhang · Colorado School Of Mines · · FY2019 · TIP
AI Institutes Leadership Summit and Development of a Virtual Organization
$905,224Stephen F Brown · University Of California-Davis · · FY2022 · CSE
Reconstructing HIV Epidemics from HIV Phylogenetics
$905,168Thomas K. Leitner · Triad National Security, Llc · R01 · FY2024 · AI
Reconstructing HIV Epidemics from HIV Phylogenetics
$905,168Thomas K. Leitner · Triad National Security, Llc · R01 · FY2023 · AI
SCH: Neonatal Facial Coding for Pain Recognition Monitoring System (PRAMS)
$903,136Renee C Manworren · University Of Texas At Arlington · · FY2024 · CSE
Collaborative Research: DMREF: Accelerated Discovery and Design of Dynamically Evolving Catalyst Material Surfaces
$902,786Siddarth H Krishna · University Of Wisconsin-Madison · · FY2025 · ENG
SHF: Medium: Neurosymbolic Agents for Formal Theorem-Proving
$902,673Swarat Chaudhuri · University Of Texas At Austin · · FY2024 · CSE
A Platform for Safe, Noninvasive Prenatal Genetic Testing at Five Weeks of Pregnancy
$901,625David Randall Armant · Cradle Genomics, Inc. · R44 · FY2020 · HD
Evaluation of Commercial Mammography-Based Artificial Intelligence Algorithms for Breast Cancer Risk Prediction in U.S. Screening Populations
$901,023Kathryn Paige Lowry · University Of Washington · R37 · FY2025 · CA
AI-driven Drug Discovery Targeting Cardiac Fibrosis in Aging Heart
$900,195Joseph C Wu · Stanford University · UG3 · FY2025 · AG
Differential diagnosis of Parkinson's and multiple system atrophy in non-human primate models using a novel a-synuclein retinal contrast agent and AI-assisted analytics
$900,109Stella Sarraf · Amydis Diagnostics, Inc. · R44 · FY2022 · NS
CICI: IPAAI: REPAIRT: Securing xApps in Open RANs with Reliable and Principled AI Red-Teaming
$900,000Francesco Restuccia · Northeastern University · · FY2026 · CSE
Convergence Accelerator Phase I (RAISE): Product Design and Manufacturing Graph-As-A-Service
$900,000Binil Starly · North Carolina State University · · FY2019 · TIP
Math-DT: Advancing the Mathematical Foundations for Dynamic Digital Twinning of Next-Generation Mobile Wireless Networks
$900,000Jeff Calder · University Of Minnesota-Twin Cities · · FY2025 · MPS
OMEGA-GEM: OMics-Enabled Generalizable Approach for GEnome-scale Metabolic Modeling of Microbiomes
$900,000Siu Hung Joshua Chan · Colorado State University · · FY2024 · BIO
CICI: IPAAI: Multi-Layer Data Provenance and Federated Learning for Securing Scientific AI Pipelines
$900,000Wajih Ul Hassan · University Of Virginia Main Campus · · FY2026 · CSE
AIM-for-RA
$900,000Jennifer Anolik · University Of Rochester · UC2 · FY2022 · AR
Towards a Large Language Model-based Smart Learning Hub for Computing Education
$900,000Sorin Lerner · University Of California-San Diego · · FY2025 · EDU
Enabling Next-Generation HyFlex Field Laboratories through an Innovative Leaner-In-The-Loop Multi-Robot System
$900,000Jin Wei-Kocsis · Purdue University · · FY2024 · EDU
MFAI: Computational and Statistical Limits in Generative Sampling
$900,000Nima Anari · Stanford University · · FY2025 · MPS
RCN-SC: Research Coordination Network for Design and Testing of Neuromorphic Integrated Circuits
$900,000Shantanu Chakrabartty · Washington University · · FY2023 · ENG
AIMing: A Neuro-Symbolic Approach to Mechanized Mathematical Reasoning
$900,000Sean Welleck · Carnegie Mellon University · · FY2025 · MPS
** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** RECENT FINDINGS FROM OUR ON METRITIS SPONTANEOUS CURE (MSC) USING DEEP ARTIFICIAL NEURAL NETWORKS (ANN) CORRECTLY IDENTIFIED 80% OF THE COWS THAT EXPERIENCED A SPONTANEOUS CURE AND 76% OF ALL COWS THAT CURED OR FAILED TO CURE FROM METRITIS. ALBEIT THESE RESULTS WERE HIGHLY ENCOURAGING, AN EXTERNAL VALIDATION, A COMPREHENSIVE ECONOMIC ANALYSIS, AND AN ASSESSMENT OF OTHER ALREADY COMMERCIALLY AVAILABLE TECHNOLOGIES, SUCH AS COW GENOMICS AND COW SENSOR BEHAVIORAL DATA, WOULD BE CRITICAL TO OPTIMIZE PREDICTIVE MODELS AND SOLIDIFY THE EVIDENCE FOR THE IMPLEMENTATION OF SELECTIVE THERAPY FOR METRITIS AND REDUCE AMU IN DAIRY COWS IN THE VARIOUS DAIRY SCENARIOS. FURTHERMORE, METRITIS IS A POLYMICROBIAL DISEASE IN WHICH COWS FAILING TO CURE METRITIS HAVE AN INCREASED ABUNDANCE OF GENES ASSOCIATED WITH LPS SYNTHESIS (GALE) AND QUORUM SENSING SIGNALING (PGI)THAT MIGHT CONTRIBUTE TO MICROBES INTERACTIONS ASSOCIATED WITH METRITIS CURE FAILURE.THEREFORE, THERE IS A CRITICAL NEED TO EXTERNALLY VALIDATE OUR MSC DEEP ANN PREDICTIVE MODEL'S COST-EFFECTIVENESS AND EVALUATE IF THE INTEGRATION OF MICROBIAL AND HOST GENOMICS AND COW SENSOR BEHAVIORAL DATA CAN IMPROVE MSC PREDICTABILITY AND COST-EFFECTIVENESS. OUR LONG-TERM GOAL IS TO DEVELOP HIGHLY ACCURATE ARTIFICIAL INTELLIGENCE-DRIVEN MODELSTHAT PREDICT METRITIS CURE IN DAIRY COWS IN DIVERSE SCENARIOS AND REDUCE ANTIMICROBIAL USE WITHOUT COMPROMISING ANIMAL WELFARE AND THE COST-EFFECTIVENESS OF DAIRY FARMS. OUR CENTRAL HYPOTHESIS IS THAT THE INTEGRATION OF HOST AND MICROBIAL GENOMICS AND COW'S SENSOR BEHAVIORAL DATA WILL IMPROVE MSC PREDICTABILITY METRITIS AND ALLOW THE DEVELOPMENT OF SELECTIVE THERAPY THAT IS SAFE AND COST-EFFECTIVE IN A VARIETY OF SCENARIOS THAT REPRESENT THE DAIRY LANDSCAPE IN THE US AND BEYOND.
$900,000University Of California, Davis · · FY2024 · National Institute of Food and Agriculture