Sort
48,453 grants matching “machine learning”
Optimizing Neural Manifold Dynamics for Learning
$574,108Tatyana O Sharpee · The Salk Institute For Biological Studies · · FY2024 · MPS
CORE--COMPUTATIONAL SCIENCES
$574,054David L Waltz · Columbia University Health Sciences · U54 · FY2008 · CA
THE OBJECTIVE OF THIS RESEARCH IS TO DEVELOP AUTOMATED DEEP-LEARNING-POWERED COMPUTER VISION TECHNIQUES TO MINE INFORMATION-RICH X-RAY DIFFRACTION DATA TO IDENTIFY CRYSTAL STRUCTURES, FILTER, AND DETECT LATTICE-LEVEL MECHANISMS RESPONSIBLE FOR PHASE TRANSFORMATION AND PLASTIC DEFORMATION UNDER EXTREME CONDITIONS. THE UNIVERSITY OF ROCHESTER PROPOSES A DEEP-LEARNING APPROACH TO CLASSIFY CRYSTAL STRUCTURE AND CAPTURE CRYSTAL STRUCTURE EVOLUTION DURING PLASTIC DEFORMATION FROM LIMITED SYNTHETIC XRD PATTERNS. THEY OVERCOME THE SCARCE DATA PROBLEM BY COUPLING A SUPERVISED MACHINE LEARNING APPROACH WITH A PHYSICS-INFORMED DATA AUGMENTATION STRATEGY USING SIMULATED DATA FROM THE INORGANIC CRYSTAL STRUCTURE DATABASE AND ATOMISTIC SIMULATION DATA. THEY WILL CAREFULLY DESIGN THE METHOD TO CAPTURE THE TEMPORAL EVOLUTION OF CRYSTAL STRUCTURE WITHIN A SERIES OF TIME-RESOLVED XRD DATA UNDER EXTREME CONDITIONS OF HIGH PRESSURE, TEMPERATURE, AND STRAIN RATES. THEIR IMAGING TECHNIQUE CAN RAPIDLY CAPTURE THE PLASTIC DEFORMATION EVENTS AMONG LARGE AMOUNTS OF DATA AND LEARN THE NATURE (E.G., DEFECT GENERATION OR NUCLEATION OF NEW PHASES, MELTING, ETC.) OF SUCH BEHAVIOR. FURTHERMORE, THEY WILL DEVELOP EXPLAINABLE DEEP LEARNING TOOLS, INCLUDING CLASS ACTIVATION MAPS AND RELATIONAL REASONING METHODS, TO ALLOW FOR HIGH MODEL INTERPRETABILITY OF THE FINDINGS, IDENTIFY THE IMPORTANT FEATURES IN INTERNAL OPERATIONS OF NEURAL NETWORKS, AND IMPROVE THE FIDELITY OF THE CLASSIFICATION PROCESS. FINALLY, THEY PROPOSE NOVEL DOMAIN ADAPTATION METHODS FOR GENERALIZING THE MODEL TO REAL EXPERIMENTAL DATA AND USE EXPERIMENTAL PATTERNS FOR KNOWN MATERIALS TO EXAMINE THE DEEP LEARNING APPROACH. EVEN THOUGH THEY TRAIN THE DEEP LEARNING MODELS ON MD SIMULATIONS, THEY CAN BE READILY AND QUICKLY APPLIED TO HANDLE ACTUAL EXPERIMENTAL DATA GENERATED FROM X-RAY DIFFRACTION EXPERIMENTS. THEIR LEARNED MODEL WITH A SHARED COMMON REPRESENTATION WILL BE READILY APPLICABLE TO ANALYZING VARIOUS MATERIALS. THE TECHNIQUES DEVELOPED DURING THIS PROJECT CAN FURTHER USE THE LEARNED FEATURES FOR OTHER CHARACTERIZATION METHODS SUCH AS ELECTRON BACKSCATTER DIFFRACTION, RAMAN, AND INFRARED SPECTROSCOPY.
$574,050University Of Rochester · · FY2022 · Department of Energy
Using automated speech processing to improve identification of risk for hospitalizations and emergency department visits in home healthcare
$574,020Maxim Topaz · Columbia University Health Sciences · R01 · FY2025 · AG
Foundations of Social Metamemory
$574,000Ian Dobbins · Washington University · · FY2023 · SBE
A Pragmatic Latent Variable Learning Approach Aligned with Clinical Practice
$573,946Booil Jo · Stanford University · R01 · FY2022 · MH
CAREER: Accurate Electrochemical Barriers Accelerated by Machine-learning
$573,860Andrew Peterson · Brown University · · FY2016 · ENG
Reverse Sensitivity Analysis for Identifying Predictive Proteomics Signatures of Cancer
$573,846H. Steven Wiley · Battelle Pacific Northwest Laboratories · U01 · FY2022 · CA
Predicting the risk of glaucoma from structural, functional, and genetic factors using artificial intelligence
$573,819Siamak Yousefi · University Of Tennessee Health Sci Ctr · R01 · FY2022 · EY
Assaying Heterotaxy Patient Genes in Cilia Motility and Left-Right Patterning
$573,774Cecilia W. Lo · University Of Pittsburgh At Pittsburgh · R01 · FY2014 · GM
EM Core
$573,771Jeff W Lichtman · Harvard University · U19 · FY2021 · NS
Red-shifted voltage indicators for two-photon all-optical physiology and multi-spectral imaging
$573,767Francois St-Pierre · Baylor College Of Medicine · R01 · FY2024 · NS
Multi-Site Validation Study of the HLHS Arrest Predictor
$573,724Craig G Rusin · Baylor College Of Medicine · R01 · FY2019 · HL
Effectiveness and predictors of response for a technology-based reading intervention in the home
$573,696Nicole Landi · University Of Connecticut Storrs · R01 · FY2024 · HD
Swarming motility and the regulation of flagellar biosynthesis in Bacillus subtilis
$573,631Daniel B Kearns · Trustees Of Indiana University · R35 · FY2019 · GM
Collaborative Research: Participatory Sensemaking with Embodied Co-Creative Agents
$573,561Brian S Magerko · Georgia Tech Research Corporation · · FY2021 · ENG
Neural Encoding of Social Information
$573,540Joshua P Neunuebel · University Of Delaware · R01 · FY2024 · MH
Training in Oncology Population Sciences (TOPS)
$573,509Jennifer W Mack · Dana-Farber Cancer Inst · T32 · FY2024 · CA
Poison exons in epilepsy and neurodevelopment
$573,486Gemma Louise Carvill · Northwestern University At Chicago · R01 · FY2025 · NS
Rad-pathomic deep learning models to assist radiologists in differentiating aggressive from indolent prostate cancer on MRI
$573,475Mirabela Rusu · Stanford University · R37 · FY2022 · CA
Development of nanoscale infrared spectroscopic imaging for measuring cellular ultrastructure
$573,470Rohit Bhargava · University Of Illinois At Urbana-Champaign · R01 · FY2025 · CA
Development of Speech Perception and Brain Plasticity
$573,458Patricia K Kuhl · University Of Washington · R01 · FY2007 · HD
Deep learning based antibody design using high-throughput affinity testing of synthetic sequences
$573,396David K. Gifford · Massachusetts Institute Of Technology · R01 · FY2019 · CA
Molecular regulation of the capillary barrier in acute critical illness
$573,389Richard W Pierce · Yale University · R01 · FY2024 · HL
Center for Structural Biology of HIV RNA
$573,330Alice Telesnitsky · University Of Michigan At Ann Arbor · U54 · FY2025 · AI