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48,453 grants matching “machine learning”
An Atlas of Human Brain Cell Variation
$13,648,736Steven Andrew McCarroll · Broad Institute, Inc. · UM1 · FY2025 · MH
RII Track-1: AI-enabled Devices for the Advancement of Personalized and Transformative Healthcare in South Carolina
$13,525,016Tanju Karanfil · Clemson University · · FY2023 · O/D
Unidata Reimagined: New Approaches to Community Data Services
$13,500,000Mohan K Ramamurthy · University Corporation For Atmospheric Res · · FY2024 · GEO
Critical Path Public Private Partnerships
$13,390,596Klaus Romero · Critical Path Institute · U18 · FY2024 · FD
Data, Modeling,and Coordination Center for PrecISE Network
$13,299,576Anastasia Ivanova · Univ Of North Carolina Chapel Hill · U24 · FY2020 · HL
Category II: Unlocking Interactive AI Development for Rapidly Evolving Research
$13,249,998Paola A Buitrago · Carnegie Mellon University · · FY2020 · CSE
Natural Hazards Engineering Research Infrastructure: Computational Modeling and Simulation Center 2021-2025
$13,200,000Matthew J Dejong · University Of California-Berkeley · · FY2021 · ENG
Infectious Diseases Collaborative Technological Research Resources- RML
$13,140,779James Cherry · National Institute Of Allergy And Infectious Diseases · ZIC · FY2023 · AI
Drug Discovery Core
$12,973,432Heinz Ernst Moser · University Of Texas Med Br Galveston · U19 · FY2022 · AI
Data, Modeling,and Coordination Center for PrecISE Network
$12,971,526Anastasia Ivanova · Univ Of North Carolina Chapel Hill · U24 · FY2018 · HL
Immune Monitoring and Analysis of Cancer at Stanford (IMACS)
$12,560,000Holden T. Maecker · Stanford University · U24 · FY2017 · CA
UTeachEngineering: Training Secondary Teachers to Deliver Design-Based Engineering Instruction
$12,478,158David T Allen · University Of Texas At Austin · · FY2008 · EDU
Category II: ACES - Accelerating Computing for Emerging Sciences
$12,374,786Honggao Liu · Texas A&M University · · FY2021 · CSE
Category II: Exploring Neural Network Processors for AI in Science and Engineering
$12,249,999Amitava Majumdar · University Of California-San Diego · · FY2020 · CSE
Category II: Democratizing the Accelerator Ecosystem for Science and Discovery
$12,249,999Mahidhar Tatineni · University Of California-San Diego · · FY2024 · CSE
Category II: REPACSS: Empowering Scientific Discovery through Renewable Energy Powered Advanced Computing Systems and Services
$12,249,999Yong Chen · Texas Tech University · · FY2024 · CSE
Expeditions: Mind in Vitro — Computing with Living Neurons
$12,196,000Mattia Gazzola · University Of Illinois At Urbana-Champaign · · FY2022 · CSE
** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** ?OVERVIEW: AGRICULTURE AND FORESTRY PROVIDE FOOD, FEED, FIBER, FUEL, LUMBER PRODUCTS, AND ENVIRONMENTAL SERVICES WHILE SUSTAINING RURAL AND URBAN ECONOMIES. BUT US GLOBAL COMPETITIVENESS AND NUTRITION SECURITY ARE AT RISK DUE TO UNPREDICTABLE WEATHER EVENTS, DEGRADING AG-FOREST SYSTEM HEALTH, AND AN AGING AND SKILL-DEFICIT WORKFORCE. TO ADDRESS THESE CHALLENGES, WE PROPOSE TO CREATE AN AI FOR LAND, ECONOMY, AGRICULTURE AND FORESTRY (AI-LEAF) DISCIPLINE, A COMMUNITY OF PRACTICE, AND FUNCTIONING CARBON MARKETS BY IMPROVING UNDERSTANDING OF TRADE-OFFS AND FEEDBACK LOOPS BETWEEN RESILIENCE AND ADAPTATION AND BETWEEN BIOMASS PRODUCTIVITY AND CARBON AND WATER FLUXES, DEVELOPING AI-ENHANCED FLUX AND BIOMASS ESTIMATION METHODS AND SPATIALLY-EXPLICIT MULTISCALE (FIELD-TO-MARKET) DECISION SUPPORT TOOLS FOR AGRICULTURE AND FORESTRY. AI ADVANCES WILL INCLUDE RELIABLE, ACCURATE OUT-OF-SAMPLE PREDICTION FROM SPARSE GROUND-TRUTH MEASUREMENTS WITH CONSIDERATION OF HARD CONSTRAINTS, UNCERTAINTY, AND SPATIOTEMPORAL VARIABILITY. WE PROPOSE A VIRTUOUS CYCLE OF DISCOVERY AND INQUIRY IN FOUNDATIONAL AI (FAI) AND USE-INSPIRED RESEARCH (UIR) THAT CONSIDERS DECISION-MAKING AT DIFFERENT SCALES. FAI RESEARCH INCLUDES COMBINING LEARNING AND AI REASONING, AI-AIDED MULTI-OBJECTIVE DECISION-MAKING, AND GENERALIZATION THEORY, ALONG WITH UIR AREAS OF CARBON AND WATER FLUX ESTIMATION, LAND-USE AND CROPPING SYSTEM CHANGE, BIOMASS PRODUCTIVITY, CARBON MARKETS, MULTI-SCALE DECISION SUPPORT TOOLS, KNOWLEDGE-GUIDED MACHINE LEARNING (KGML), COMPUTER-VISION GUIDED PERCEPTION AND ANALYSIS, AND AI-GUIDED DIGITAL TWINS.INTELLECTUAL MERIT: OUR PROPOSED RESEARCH WILL ADVANCE LAND, ECONOMY, AGRICULTURE AND FORESTRY (LEAF) KNOWLEDGE AND UNDERSTANDING TO CREATE LEAF DECISION SUPPORT SYSTEMS USING KGML FOR RELIABLE OUT-OF-SAMPLE PREDICTION (AI) IN UN- OR UNDER-SAMPLED FIELDS AND PARCELS, AND AI-AIDED MULTISCALE AND MULTICRITERIA DECISION SUPPORT TOOLS FOR EVALUATING TRADEOFFS BETWEEN ALTERNATIVE PRACTICES FOR RESILIENCE AND ADAPTATION UNDER CURRENT AND FUTURE CLIMATE SCENARIOS. IT HAS THE POTENTIAL TO TRANSFORM MACHINE LEARNING FROM A SOFT-CONSTRAINT (E.G., REGULARIZERS) AND MONO-OBJECTIVE (E.G., PREDICTION ACCURACY) PARADIGM TO CONFRONT HARD CONSTRAINTS (E.G., MASS AND ENERGY BALANCE) AND MULTIPLE OBJECTIVES (E.G., DECISION MAKING, PREDICTION ACCURACY AND DOMAIN INTERPRETABILITY, ECONOMIC RETURN, AND ECOSYSTEM SERVICES). LIKE IMAGENET, IT HAS THE TRANSFORMATIVE POTENTIAL TO ADVANCE COMPUTER VISION FROM A HUMAN-VISIBLE SPECTRUM AND POINT-CLOUD-BASED APPROACH TO A SENSOR-RICH (E.G., OPTICAL, THERMAL, MICROWAVE) APPROACH BY PUBLISHING NEW LEAF_IMAGENET BENCHMARK DATA AND USE CASES (ESTIMATE CARBON AND WATER FLUXES, SOIL ORGANIC CARBON, BIOMASS PRODUCTIVITY). OUR CORE TEAM HAS A HISTORY OF SYNERGISTIC RESEARCH AND THE REQUIRED SKILLS, EXPERTISE, AND ACCESS TO DATA AND SENSOR RESOURCES. TO FOSTER STRONG INTERACTIONS ACROSS PROPOSED RESEARCH AREAS, WORKFORCE DEVELOPMENT, AND COLLABORATION NEXUS ACTIV,ITIES, A DEDICATED AI INSTITUTE IS NEEDED TO INTEGRATE THE EXPERTISE OF INVESTIGATORS FROM DIVERSE DISCIPLINES AND INSTITUTES IN CLOSE COLLABORATION WITH STAKEHOLDERS TO CULTIVATE A NEW AI-LEAF DISCIPLINE AND COMMUNITY OF PRACTICE.BROADER IMPACT: THE PROPOSED INSTITUTE WILL BENEFIT SOCIETY BY CATALYZING AN AI-LEAF DISCIPLINE, A COMMUNITY OF PRACTICE, AND BETTER FUNCTIONING CARBON MARKETS. IT WILL ENHANCE THE NATIONAL RESEARCH AND EDUCATIONAL INFRASTRUCTURE BY SHARING CURATED DATASETS AND EASY-TO-USE MULTI-SCALE DECISION SUPPORT TOOLS, INCLUDING AI ADVANCES (E.G., KGML, AI-GUIDED MULTI-OBJECTIVE OPTIMIZATION). IT WILL GROW THE AMERICAN AI WORKFORCE VIA THE INTEGRATION OF AI-LEAF RESEARCH WITH EDUCATION; MENTORING OF PROFESSIONAL, POST-DOCTORAL, GRADUATE, AND UNDERGRADUATE STUDENTS; ENGAGEMENT OF SECONDARY SCHOOL TEACHERS AND STUDENTS; AND CO-DEVELOPMENT AND TRAINING OF FARMERS AND FORESTERS IN THE USE OF AI-INSPIRED TOOLS; WITH CAREFUL CONSIDERATION OF BROADENING PARTICIPATION VIA RECRUITMENT, RETENTION, AND PLACEMENT OF ALL PROGRAM PARTICIPANTS. THE TEAM PURPOSEFULLY INTEGRATED RESEARCH, EDUCATION AND EXTENSION ACROSS MULTIPLE DISCIPLINES AND INSTITUTIONS. COMMUNITY-BUILDING ACTIVITIES INCLUDE SHARED DATA AND TOOLS, INTEGRATION OF PARTNERS, AND KNOWLEDGE TRANSFER VIA CO-CREATION, INDUSTRY CONSORTIA, AND THE IP FRAMEWORK.
$12,000,000Regents Of The University Of Minnesota · · FY2023 · National Institute of Food and Agriculture
Expeditions: DISCoVER: Design and Integration of Superconducting Computation for Ventures beyond Exascale Realization
$11,999,918Massoud Pedram · University Of Southern California · · FY2022 · CSE
An Atlas of Human Brain Cell Variation
$11,893,074Steven Andrew McCarroll · Broad Institute, Inc. · UM1 · FY2023 · MH
Early Onset AD Consortium - the LEAD Study (LEADS)
$11,820,016Liana G Apostolova · Indiana University Indianapolis · U01 · FY2019 · AG
Infectious Diseases Collaborative Technological Research Resources- RML
$11,811,508James Cherry · National Institute Of Allergy And Infectious Diseases · ZIC · FY2025 · AI
Research Infrastructure: RII Track 1: Integrating Montana's Environmental Research with Smart Sensors (IMERSS)
$11,767,353Robert A Walker · Montana State University · · FY2023 · O/D
AI Institute for Societal Decision Making (AI-SDM)
$11,679,659Aarti Singh · Carnegie Mellon University · · FY2023 · CSE
Intermediate-Size Expanded Access Trial of Autologous Hybrid TREG/Th2 Cell Therapy (RAPA-501) of Amyotrophic Lateral Sclerosis
$11,665,635James Dale Berry · Massachusetts General Hospital · U01 · FY2024 · NS