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48,453 grants matching “machine learning”
An interactive, digital platform to transform biological learning
$750,000Kelly Puzio · Squid Books, Llc · R44 · FY2020 · GM
NSF Convergence Accelerator Track I: Building a Sustainable, Innovative Ecosystem for Microchip Manufacturing
$750,000Anuradha M Agarwal · Massachusetts Institute Of Technology · · FY2022 · TIP
Collaborative Research: NCS-FR: DEJA-VU: Design of Joint 3D Solid-State Learning Machines for Various Cognitive Use-Cases
$750,000Akhilesh Jaiswal · University Of Wisconsin-Madison · · FY2023 · CSE
CC* Integration-Large: Scaling Scientific Workloads on Distributed Commodity GPUs and Storage through Campus-level RDMA Networking
$750,000Danyang Zhuo · Duke University · · FY2025 · CSE
SpecEES: DISCOVER: Device Identification for Spectrum-optimization using COnVolutional nEural netwoRks
$750,000Kaushik R Chowdhury · Northeastern University · · FY2019 · CSE
NRI: FND: Learning Visual Dynamics from Interaction
$750,000Carl M Vondrick · Columbia University · · FY2019 · CSE
Phase I IUCRC University of Texas at Dallas: Center for Hardware and Embedded System Security and Trust (CHEST)
$750,000Yiorgos Makris · University Of Texas At Dallas · · FY2019 · CSE
Collaborative Research: MFS-SPEED: D-Diameter - Data-Driven Innovation Advancing Macromolecular Engineering Towards Efficient Recycling
$750,000Linda J Broadbelt · Northwestern University At Chicago · · FY2025 · MPS
Collaborative Research: CISE: Large: Cross-Layer Resilience to Silent Data Corruption
$750,000Ronald D Blanton · Carnegie Mellon University · · FY2023 · CSE
An interactive, digital platform to transform biological learning
$750,000Kelly Puzio · Squid Books, Llc · R44 · FY2021 · GM
SpecEES: Scaling Deep Learning Models for Cellular Spectrum Monitoring
$750,000Haitao Zheng · University Of Chicago · · FY2019 · ENG
NSF Convergence Accelerator Track F: How Large-Scale Identification and Intervention Can Empower Professional Fact-Checkers to Improve Democracy and Public Health
$750,000Michael W Wagner · University Of Wisconsin-Madison · · FY2021 · TIP
Strongly Interacting Fermi Gases of Ultracold Atoms
$750,000Martin W Zwierlein · Massachusetts Institute Of Technology · · FY2015 · MPS
CPS: Medium: Emulating Emerging Autonomous Vehicle Technologies to Understand Their Impact on Urban Congestion
$750,000Jorge A Laval · Georgia Tech Research Corporation · · FY2019 · ENG
FMitF: Track I: Principles for Modular Probabilistic Programming and Inference
$750,000Steven Holtzen · Northeastern University · · FY2022 · CSE
DATA-AWARE AND SYSTEM-AWARE ALGORITHMS FOR DISTRIBUTED MACHINE LEARNING
$750,000Carnegie Mellon University · · FY2023 · Department of the Navy
I/UCRC: Center for Advanced Electronics through Machine Learning (CAEML)
$750,000Madhavan Swaminathan · Georgia Tech Research Corporation · · FY2016 · CSE
SWIFT: Electric Field Controlled Integrated Multiferroic Radio Frequency Devices for Interference Immune Broadband Wireless Systems
$750,000Amir Mortazawi · Regents Of The University Of Michigan - Ann Arbor · · FY2022 · ENG
FMitF: Track I: Formal Methods for Explainable Machine Learning
$750,000Loris Dantoni · University Of Wisconsin-Madison · · FY2019 · CSE
SenSE: Artificial Intelligence-enabled Multimodal Stress Sensing for Precision Health
$750,000Zhenan Bao · Stanford University · · FY2020 · ENG
MICHIGAN STATE UNIVERSITY (MSU) WILL CARRY OUT A PROGRAMMATIC STUDY OF THE FISSION PROCESS IN NUCLEI, BASED ON SELF-CONSISTENT DENSITY FUNCTIONAL THEORY AND ITS EXTENSIONS, FOCUSING ON MEDIUM-MASS NUCLEI AND THE ACTINIDE AND TRANSACTINIDE REGIONS. THEY PERFORM SYSTEMATIC SELF-CONSISTENT CALCULATIONS OF TO ESTIMATE SPONTANEOUS FISSION LIFETIMES AND MASS AND CHARGE FRAGMENT YIELDS USING DYNAMIC ADIABATIC APPROACHES. TO ESTIMATE THEORETICAL UNCERTAINTIES, THEY APPLY ADVANCED METHODS OF UNCERTAINTY QUANTIFICATION SUCH AS BAYESIAN MACHINE LEARNING AND BAYESIAN MODEL MIXING. TO CARRY OUT LARGE-SCALE FISSION STUDIES, THEY APPLY MACHINE LEARNING TECHNIQUES TO EMULATE EXPENSIVE SIMULATIONS AND TO REDUCE THE COLLECTIVE SPACE OF COMPUTATIONS.
$750,000Michigan State University · · FY2022 · Department of Energy
Multi-Scale 3-D Image Analytics for High Dimensional Spatial Mapping of Normal Tissues
$750,000Fiona Ginty · General Electric Global Research Ctr · UH3 · FY2020 · CA
RI-Large: Activity Learning and Recognition for a Cognitive Assistant
$750,000James F Allen · Florida Institute For Human And Machine Cognition, Inc. · · FY2010 · CSE
A SMALL VOLUME, PROPERTY MEASUREMENT-BASED, PRE-SCREENING APPROACH FOR SUSTAINABLE AVIATION FUELS ENABLED BY FUNCTIONAL RELATIONSHIP DEVELOPMENT USING MULTI-FIDELITY MACHINE LEARNING ALGORITHMS
$750,000Louisiana State University · · FY2022 · Department of Energy
RATIONAL DESIGN OF CONCENTRATED ELECTROLYTES FOR BEYOND LI-ION BATTERIES WITH MACHINE LEARNING AND QUANTUM CALCULATIONS
$750,000Howard University · · FY2023 · Department of Energy