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48,453 grants matching “machine learning”

GCR: Meta-Optical Angioscopes for Image-Guided Therapies in Previously Inaccessible Locations

$1,200,000
Arka Majumdar · University Of Washington · · FY2021 · ENG

RI: Medium: Scalable Second-order Methods for Training, Designing, and Deploying Machine Learning Models

$1,200,000
Michael Mahoney · International Computer Science Institute · · FY2021 · CSE

FET: Medium: Neural network computation and learning in well-mixed and spatially-organized molecular systems

$1,200,000
Lulu Qian · California Institute Of Technology · · FY2022 · CSE

SHF: Medium: Software Engineering for Hardware Errors

$1,200,000
Sarita V Adve · University Of Illinois At Urbana-Champaign · · FY2020 · CSE

SHF: Medium: Reasoning about Multiplicity in the Machine Learning Pipeline

$1,200,000
Loris Dantoni · University Of California-San Diego · · FY2024 · CSE

CPS: TTP Option: Synergy: Learning and Adaption in Pediatric Robotics

$1,200,000
Homayoon Kazerooni · University Of California-Berkeley · · FY2015 · CSE

CPS: Medium: Correct-by-Construction Controller Synthesis using Gaussian Process Transfer Learning

$1,200,000
Majid Zamani · University Of Colorado At Boulder · · FY2021 · CSE

SCH: Improving Patient Health and Equity through the Digital Transformation of Diabetes Care Delivery

$1,200,000
Ramesh Johari · Stanford University · · FY2022 · CSE

SHF:Medium: Studying and Exploiting the Bimodality of Software

$1,200,000
Premkumar T Devanbu · University Of California-Davis · · FY2021 · CSE

III: Medium: Towards Data-Efficient Decision-Focused Learning: A Modularized Pre-Training and Fine-Tuning Approach

$1,200,000
Bo Dai · Georgia Tech Research Corporation · · FY2024 · CSE

CNS Core: Medium: Design and Deployment of Bespoke Congestion Control Algorithms

$1,200,000
Justine Sherry · Carnegie Mellon University · · FY2022 · CSE

AF: Medium: Smoothed Analysis for Optimization and Games

$1,200,000
Mihalis Yannakakis · Columbia University · · FY2021 · CSE

III:Medium:Computation and Communication Efficient Distributed Learning

$1,200,000
Jiliang Tang · Michigan State University · · FY2022 · CSE

Collaborative Research: Frameworks: Convergence of Bayesian inverse methods and scientific machine learning in Earth system models through universal differentiable programming

$1,200,000
Alan S Edelman · Massachusetts Institute Of Technology · · FY2021 · CSE

SCH: Explainable Learning of Heart Actions from Pulse to Broaden Cardiovascular Healthcare Access

$1,200,000
Min Wu · University Of Maryland, College Park · · FY2021 · CSE

III: Medium: Massively Parallel Data Analytics on Heterogeneous Architectures

$1,200,000
Samuel Madden · Massachusetts Institute Of Technology · · FY2018 · CSE

SHF: Medium: Automating High Level Synthesis via Graph-Centric Deep Learning

$1,200,000
Jason Cong · University Of California-Los Angeles · · FY2022 · CSE

CPS: Synergy: Collaborative Research: The Sharing Economy for Electricity Services in Connected Communities

$1,200,000
Kameshwar Poolla · University Of California-Berkeley · · FY2016 · ENG

SaTC: CORE: Medium: Physically Unclonable Wireless Systems (PUWS) for RF Fingerprinting and Physical Layer Security

$1,200,000
Gokhan Mumcu · University Of South Florida · · FY2023 · CSE

SHF: Medium: Generating Correctness Proofs with Neural Networks

$1,200,000
Sorin Lerner · University Of California-San Diego · · FY2020 · CSE

In silico Randomized Control Trial Framework for Assessing Infection Control and Prevention Interventions in the Hospital

$1,200,000
Eili Ya'akov Klein · Center/ Disease Dynamics, Econom/Policy · U01 · FY2021 · CK

Modeling of infectious network dynamics for surveillance, control and prevention enhancement (MINDSCAPE)

$1,200,000
Travis Christian Porco · University Of California, San Francisco · U01 · FY2021 · CK

Collaborative Research: NeTS: Medium: CAML: Communication-constrained Adaptive Machine Learning in Heterogeneous Edge Networks

$1,200,000
Lei Yang · Board Of Regents, Nshe, Obo University Of Nevada, Reno · · FY2025 · CSE

NSF POSE: Phase II: BLASTNet: An Open-Source Ecosystem for Integrating Decentralized Scientific Machine Learning with Flow Physics

$1,200,000
Matthias Ihme · Stanford University · · FY2024 · TIP

SCH: INT: Individualizing Care in Pregnancy and Childbirth through Digital Phenotyping

$1,200,000
Kelly P Gaither · University Of Texas At Austin · · FY2018 · CSE