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48,453 grants matching “machine learning”
KnowEng, a Scalable Knowledge Engine for Large-Scale Genomic Data-OVERALL
$3,640,781Jiawei Han · University Of Illinois At Urbana-Champaign · U54 · FY2017 · GM
Prostate Cancer Imaging
$3,640,096Peter L. Choyke · Division Of Basic Sciences - Nci · ZIA · FY2020 · CA
National Center: Multi-Scale Study of Cellular Networks(RMI)
$3,638,557Andrea Califano · Columbia University Health Sciences · U54 · FY2007 · CA
Collaborative Research: Facility: Next Generation Interoperable Data Infrastructure for Geoscience Sample Data
$3,637,233Kerstin A Lehnert · Columbia University · · FY2022 · GEO
The Psychiatric Cell Map Initiative: Connecting Genomics, Subcellular Networks, and Higher Order Phenotypes
$3,628,784Nevan J Krogan · University Of California, San Francisco · U01 · FY2020 · MH
ITR: Language, Learning, and Modeling Biological Sequences
$3,625,503Aravind K Joshi · University Of Pennsylvania · · FY2002 · CSE
Thalamus in the middle: computations in multi-regional neural circuits
$3,611,067Karel Svoboda · Allen Institute · U19 · FY2024 · NS
Institute for Clinical and Translational Science
$3,609,157Eric J Vilain · University Of California-Irvine · UL1 · FY2022 · TR
East Africa International Epidemiology Database to evaluate AIDS (IeDEA) Regional Consortium
$3,607,664Kara Kay Wools-Kaloustian · Indiana University Indianapolis · U01 · FY2022 · AI
The Psychiatric Cell Map Initiative: Connecting Genomics, Subcellular Networks, and Higher Order Phenotypes
$3,605,729Nevan J Krogan · University Of California, San Francisco · U01 · FY2019 · MH
Institute for Clinical and Translational Science
$3,604,234Dan M Cooper · University Of California-Irvine · UL1 · FY2020 · TR
Institute for Clinical and Translational Science
$3,595,680Dan M Cooper · University Of California-Irvine · UL1 · FY2019 · TR
National Center: Multi-Scale Study of Cellular Networks(RMI)
$3,570,137Andrea Califano · Columbia University Health Sciences · U54 · FY2008 · CA
Collaborative Research: Variability-Aware Software for Efficient Computing with Nanoscale Devices
$3,569,996Mani B Srivastava · University Of California-Los Angeles · · FY2010 · CSE
Development and validation of a porcine model of spinal cord injury-induced neuropathic pain
$3,560,956Candace L Floyd · Emory University · RF1 · FY2023 · NS
Functional MRI Core Facility
$3,554,064Peter Bandettini · National Institute Of Mental Health · ZIC · FY2019 · MH
Repository Core
$3,551,716Lee-Way Jin · University Of California At Davis · U19 · FY2025 · NS
Accessible technologies for high-throughput, whole-brain reconstructions of molecularly characterized mammalian neurons
$3,550,431Ulrich Mueller · Johns Hopkins University · RF1 · FY2019 · MH
THIS RESEARCH PROJECT IS DESIGNED TO EVALUATE THE IMPACTS OF OFFSHORE WIND DEVELOPMENT ON COMMERCIAL FISH SPECIES AND BENTHIC HABITATS AND COMMUNITIES USING A SUITE OF STATE-OF-THE-ART, NON-LETHAL SURVEY METHODS INCLUDING AN OPEN COD-END VIDEO TRAWL, A TOWED OFF-BOTTOM OPTICAL SURVEY VEHICLE, AND ANCHORED AND ROPELESS STATIONARY CAMERA SYSTEMS. SURVEYS WILL BE CONDUCTED BEFORE, DURING, AND AFTER WIND FARM CONSTRUCTION TO PROVIDE DATA ON CHANGES IN COMMERCIAL FISH AND MARINE INVERTEBRATE ABUNDANCE AND DISTRIBUTION, AND THE RELATIONSHIP OF BOTH TO HABITAT CHANGES, THE PRESENCE OF NEW STRUCTURES (TURBINE BASES), AND CHANGING UNDERWATER NOISE LEVELS. THROUGH USE OF MULTIPLE NON-LETHAL OPTICAL SURVEY METHODS, THIS PROJECT WILL PROVIDE A HOLISTIC VIEW OF THE HABITATS AND COMMUNITIES THAT MAY BE IMPACTED BY OFFSHORE WIND DEVELOPMENT OFF MASSACHUSETTS AND RHODE ISLAND. IN ADDITION, AUTOMATED DETECTORS FOR TWENTY-FOUR FISH AND INVERTEBRATE SPECIES, CHOSEN BECAUSE OF THEIR ECONOMIC IMPORTANCE TO THE REGION, WILL BE DEVELOPED USING THE IMAGERY COLLECTED DURING THE SURVEYS. PROJECT EFFORTS WILL RESULT IN A NEW METHODOLOGICAL FRAMEWORK FOR MONITORING MARINE SPECIES IN WIND FARMS USING OPTICAL SURVEYS, INCLUDING PREFERRED SURVEY DESIGNS, FREELY AVAILABLE AUTOMATED DETECTORS AND IMAGE SETS FOR TRAINING NEW MACHINE LEARNING ALGORITHMS, AND SCHEMATICS FOR ANY NEW GEAR DESIGNS.
$3,543,697Coonamessett Farm Foundation Inc · · FY2022 · Department of Energy
FODAVA-Lead: Dimension Reduction and Data Reduction: Foundations for Visualization
$3,539,333Haesun Park · Georgia Tech Research Corporation · · FY2008 · CSE
ITR: Interacting with the Visual World: Capturing, Understanding, and Predicting Appearance
$3,525,947Shree K Nayar · Columbia University · · FY2000 · CSE
Collaborative Research: Frameworks: Ghub as a Community-Driven Data-Model Framework for Ice-Sheet Science
$3,522,878Jason P Briner · Suny At Buffalo · · FY2020 · CSE
Thalamus in the middle: computations in multi-regional neural circuits
$3,519,902Karel Svoboda · Allen Institute · U19 · FY2025 · NS
Translational Research Core
$3,518,272Colin Osborne · University Of Texas Med Br Galveston · U19 · FY2023 · AI
Functional MRI Method Development
$3,514,361Peter Bandettini · National Institute Of Mental Health · ZIA · FY2024 · MH