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48,453 grants matching “machine learning”
NRT-AI: Responsive and Resilient AI for Autonomous Systems Engineering (RAISE)
$2,991,573Meeko Oishi · University Of New Mexico · · FY2024 · EDU
NRT-AI: AI Advancements and Convergence in Computational, Environmental, and Social Sciences (AI-ACCESS)
$2,990,135William Yeoh · Washington University · · FY2023 · EDU
Reverse Engineering the Brain Stem Circuits that Govern Exploratory Behavior
$2,989,579David Kleinfeld · University Of California, San Diego · U19 · FY2021 · NS
Epidemiologic Study of Neural Reserve and Neurobiology of Aging
$2,989,007David A Bennett · Rush University Medical Center · R01 · FY2023 · AG
Indiana Alzheimer's Disease Research Center
$2,988,197Andrew J Saykin · Indiana University Indianapolis · P30 · FY2023 · AG
Reverse Engineering the Brain Stem Circuits that Govern Exploratory Behavior
$2,988,043David Kleinfeld · University Of California, San Diego · U19 · FY2022 · NS
Reverse Engineering the Brain Stem Circuits that Govern Exploratory Behavior
$2,983,524David Kleinfeld · University Of California, San Diego · U19 · FY2020 · NS
Reverse Engineering the Brain Stem Circuits that Govern Exploratory Behavior
$2,979,311David Kleinfeld · University Of California, San Diego · U19 · FY2018 · NS
IGERT: An Interdisciplinary Initiative on Technology Based Learning with Disability
$2,976,823John M Flach · Wright State University · · FY2005 · EDU
GENCODE: comprehensive reference genome annotation for human and mouse
$2,973,167Paul Flicek · European Molecular Biology Laboratory · U24 · FY2021 · HG
Specific and Broadly Active Monoclonal Antibody Therapeutics Against The Filoviruses
$2,972,368Erica Ollmann Saphire · La Jolla Institute For Immunology · U19 · FY2019 · AI
R & D: Nurturing Multiplicative Reasoning in Students with Learning Disabilities in a Computerized Conceptual-Modeling Environmenty (NMRSD-CCME)
$2,969,894Yan Ping Xin · Purdue University · · FY2008 · EDU
GENCODE: comprehensive reference genome annotation for human and mouse
$2,967,691Ewan Birney · European Molecular Biology Laboratory · U24 · FY2023 · HG
NRT-DESE: Team Science for Integrative Graduate Training in Data Science and Physical Science
$2,967,150Padhraic Smyth · University Of California-Irvine · · FY2016 · EDU
BIGDATA: Mid-Scale: DCM: A Formal Foundation for Big Data Management
$2,966,667Dan Suciu · University Of Washington · · FY2013 · CSE
Harnessing the Data Revolution to Enable Predictive Multi-scale Modeling across STEM
$2,965,563Keith S Promislow · Michigan State University · · FY2022 · EDU
NRT-DESE: Graduate Training in Data-Enabled Research into Human Behavior and its Cognitive and Neural Mechanisms
$2,965,341Ehsan Hoque · University Of Rochester · · FY2015 · EDU
NRT-DESE: Network Biology: From Data to Information to Insights
$2,959,866Michelle Girvan · University Of Maryland, College Park · · FY2016 · EDU
US-UK Collab: Eco-social dynamics of tick-borne pathogens along urbanization gradients: establishment, spillover, and management
$2,959,664Maria Diuk-Wasser · Columbia University · · FY2025 · BIO
Late-onset Unexplained Epilepsy as a Risk Factor for Dementia
$2,959,470Alice D Lam · Massachusetts General Hospital · R01 · FY2023 · NS
Thalamocortical Responsive Neurostimulation for the Treatment of Lennox-Gastaut Syndrome
$2,959,252Martha J Morrell · Neuropace, Inc. · UH3 · FY2023 · NS
Cystoscopy-augmenting tools to improve the sensitivity and specificity of detection of urothelial carcinoma in situ
$2,958,465Audrey Kynsella Bowden · Vanderbilt University · R01 · FY2025 · CA
Network Modelling of Multimodal Dynamics in Alzheimerâs Disease and Dementia
$2,955,738Ashish Raj · University Of California, San Francisco · RF1 · FY2019 · AG
Illuminating neural coding mechanisms using in vivo calcium imaging in freely behaving rodents
$2,955,121Da-Ting Lin · National Institute On Drug Abuse · ZIA · FY2024 · DA
MACHINE LEARNING ENHANCED LASER INDUCED BREAKDOWN SPECTROSCOPY (LIBS) FOR AUTOMATIC CONTROL OF HYDROGEN PRODUCING GASIFIERS. THE PROJECT’S OVERALL OBJECTIVE IS TO DEMONSTRATE THE FEASIBILITY OF LIBS INTEGRATED WITH MACHINE LEARNING (ML) DESIGNED TO PROVIDE INFORMATION ON THE CHARACTERISTICS OF FEEDSTOCK STREAMS INTO ENTRAINED-FLOW AND FLUIDIZED BED GASIFIER SYSTEMS THAT PRODUCE CLEAN HYDROGEN WITH BIOMASS, WASTE PLASTICS, AND LEGACY COAL WASTE AS THE FEEDSTOCKS. TO ACHIEVE THIS GOAL, THE RESEARCH TEAM WILL FOCUS ON THE FOLLOWING SPECIFIC OBJECTIVES AND CRITICAL FACTORS: (1) ASSEMBLING A MATERIAL INVENTORY AND DEVELOPING SAMPLING PROCEDURE; (2) DESIGNING AND ASSEMBLING LIBS SYSTEM FOR STATIC AND DYNAMIC CONDITIONS; (3) DEVELOPING AND VALIDATING ML ALGORITHMS FOR LIBS DATA PROCESSING; (4) INSTALLING LIBS+ML SYSTEMS ON ONE ENTRAINED-FLOW AND ONE FLUIDIZED BED GASIFIER; (5) INTEGRATING LIBS+ML OUTPUTS INTO GASIFIER CONTROL SYSTEMS; AND (6) PERFORMING A TECHNO-ECONOMIC ANALYSIS (TEA).
$2,954,021Lehigh University · · FY2025 · Department of Energy