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48,453 grants matching “machine learning”
Measuring Student Engagement in Introductory Engineering STEM Classes
$600,000Aly A Farag · University Of Louisville Research Foundation Inc · · FY2024 · EDU
III: Medium: Collaborative Research: Integrating Large-Scale Machine Learning and Edge Computing for Collaborative Autonomous Vehicles
$600,000Heng Huang · University Of Pittsburgh · · FY2020 · CSE
Elements: FourPhonon: A Computational Tool for Higher-Order Phonon Anharmonicity and Thermal Properties
$600,000Xiulin Ruan · Purdue University · · FY2023 · CSE
ITR: Algorithms: From Theory to Application
$600,000Guy E Blelloch · Carnegie Mellon University · · FY2000 · CSE
STEM ML4MATH: INTEGRATING MACHINE LEARNING AND MATHEMATICS EDUCATION USING A CONCRETENESS FADING APPROACH
$600,000University Of Florida · · FY2024 · Department of the Navy
Collaborative Research: SHF: Medium: Neural-Network-based Stochastic Computing Architectures with applications to Machine Learning
$600,000Fabrizio Lombardi · Northeastern University · · FY2020 · CSE
Collaborative Research: SHF: Medium: Neural-Network-based Stochastic Computing Architectures with applications to Machine Learning
$600,000Ahmed Louri · George Washington University · · FY2020 · CSE
GPU-Accelerated Parallel Computer for Life Sciences Research
$600,000Jarrod Anson Smith · Vanderbilt University · S10 · FY2022 · OD
Enhancing Undergraduate Learning About Biomechanics and Data Science Through Augmented Reality and Self-motion Data
$600,000Xu Xu · North Carolina State University · · FY2020 · EDU
NeTS: Small: Revisiting Network Algorithmics using the CRAM Model
$600,000George Varghese · University Of California-Los Angeles · · FY2024 · CSE
SBIR Phase II: Software to Automate the Detection of Websites that are Fraudulent or Otherwise Harmful to Consumers
$600,000Michael Lai · Ggl Projects, Inc. · · FY2011 · TIP
NSF-AoF: Collaborative Research: CIF: Small: 6G Wireless Communications via Enhanced Channel Modeling and Estimation, Channel Morphing and Machine Learning for mmWave Bands
$600,000Bhaskar D Rao · University Of California-San Diego · · FY2022 · CSE
Elements: DeepPDB: An open-source automated framework to enable high-fidelity atomistic simulations in unexplored material space
$600,000Wissam A Saidi · University Of Pittsburgh · · FY2020 · CSE
CAREER: Multiscale and Machine Learning Approaches for Electrified Interfaces
$600,000Oliviero Andreussi · University Of North Texas · · FY2020 · MPS
CAREER: Towards a Robust Theory of Mechanism Design
$600,000Yang Cai · Yale University · · FY2020 · CSE
MFB: Probing Collective Ribosome Organization with PolySnap-seq
$600,000Oded Regev · New York University · · FY2025 · MPS
THE GOAL OF THIS PROJECT IS TO DEVELOP AND IMPLEMENT INNOVATIVE SOLUTION COMBUSTION SYNTHESIS (SCS) METHODS FOR PREPARING HIGHLY RADIOACTIVE PLUTONIUM (PU) AND AMERICIUM (AM) TARGETS, WHICH ARE ESSENTIAL FOR NUCLEAR SCIENCE MEASUREMENTS. THE CENTRAL HYPOTHESIS IS THAT THE SELF-GENERATED HEAT DURING RAPID SCS CAN PRODUCE ROBUST RADIOACTIVE TARGETS MORE EFFECTIVELY THAN TRADITIONAL METHODS. TO ADDRESS TECHNICAL CHALLENGES SUCH AS THE COMPLEXITIES AND STABILITIES OF PU AND AM OXIDES AT THE NANOSCALE AND THE SCARCITY OF ISOTOPICALLY PURE PU AND AM, EXTENSIVE INVESTIGATIONS WILL BE CONDUCTED USING SURROGATE MATERIALS, COMPLEMENTED BY MOLECULAR DYNAMICS (MD) SIMULATIONS AND MACHINE LEARNING (ML) METHODS. THE RESEARCH OBJECTIVES INCLUDE INVESTIGATING HIGH-THROUGHPUT SCS REACTIONS OF SURROGATE AND ACTINIDE OXIDES, CONDUCTING ATOMISTIC SIMULATIONS TO UNDERSTAND SCS MECHANISMS, AND USING ML TO OPTIMIZE SYNTHESIS CONDITIONS. ADDITIONALLY, THE PROJECT AIMS TO PREPARE AND CHARACTERIZE THIN FILM TARGETS AND EDUCATE A STUDENT BODY TO STRENGTHEN THE WORKFORCE PIPELINE TO NATIONAL LABORATORIES. THIS PROJECT WILL LEVERAGE ADVANCED SCIENTIFIC INSTRUMENTATION AND FACILITIES AT THE UNIVERSITY OF NOTRE DAME TO ACHIEVE ITS GOALS.
$600,000University Of Notre Dame Du Lac · · FY2025 · Department of Energy
CAREER: Understanding visual learning with self-supervised neural network models
$600,000Daniel Yamins · Stanford University · · FY2019 · CSE
Collaborative Research: CIF: Medium: Group testing for Real-Time Polymerase Chain Reactions: From Primer Selection to Amplification Curve Analysis
$600,000Olgica Milenkovic · University Of Illinois At Urbana-Champaign · · FY2021 · CSE
RET Site: Research Experience on Edge Artificial Intelligence for Nevada Teachers
$600,000Rui Hu · Board Of Regents, Nshe, Obo University Of Nevada, Reno · · FY2025 · CSE
Physics-Informed Machine Learning to Reconstruct Plasma Dynamics in Basic Plasma Science Experiments
$600,000E Paulo Alves · University Of California-Los Angeles · · FY2025 · MPS
SHF: Medium: Collaborative Research: Photonic Neural Network Accelerators for Energy-efficient Heterogeneous Multicore Architectures
$600,000Ahmed Louri · George Washington University · · FY2019 · CSE
Collaborative Research: CNS Core: Medium: Reconfigurable Kernel Datapaths with Adaptive Optimizations
$600,000Ang Chen · William Marsh Rice University · · FY2021 · CSE
CAREER: Unravel the Effect of Cerebral Folding on Human Brain Organoids Using an on-Chip System
$600,000Yu Huang · Utah State University · · FY2022 · ENG
Computationally Driven Synthesis of Paxilline-Type Indole Diterpenoids
$600,000Timothy R Newhouse · Yale University · · FY2025 · MPS