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48,453 grants matching “machine learning”
Proteogenomic Predictors of Recurrence in Non-small Cell Lung Cancer
$999,718Ramaswamy Govindan · Washington University · U01 · FY2024 · CA
Collaborative Research: SCIPE: Enhancing the Transdisciplinary Research Ecosystem for Earth and Environmental Science with Dedicated Cyber Infrastructure Professionals
$999,668Vandana Janeja · University Of Maryland Baltimore County · · FY2023 · CSE
NSF Engines Development Award: Advancing logistics technologies (TX, OK)
$999,650Terrance L Pohlen · University Of North Texas · · FY2023 · TIP
Development of a lung cancer subtyping diagnostic
$999,637Harold R Garner · Orbit Genomics, Inc. · R44 · FY2025 · CA
NCS-FO: The biology and technology of online planning
$999,620Malcolm A Maciver · Northwestern University · · FY2021 · CSE
PIPP Phase I: Center for Emerging Pathogen Prediction and Integration
$999,610Joseph A Cook · University Of New Mexico · · FY2022 · CSE
SBIR Phase II: Data Analytics and Physics-Based Insights into Vehicle Mobility Patterns
$999,600Samveg Saxena · Green Light Labs, Inc. · · FY2021 · TIP
MRI: Development of Heterogeneous Edge Computing Platform for Real-Time Scientific Machine Learning
$999,600Lifang He · Lehigh University · · FY2022 · CSE
CICI: SSC: Integrity Introspection for Scientific Workflows (IRIS)
$999,575Anirban Mandal · University Of North Carolina At Chapel Hill · · FY2018 · CSE
Development of a lung cancer subtyping diagnostic
$999,554Harold R Garner · Orbit Genomics, Inc. · R44 · FY2024 · CA
SBIR Phase II: Development of motion artifact correction systems for ViTrack: an accurate, continuous, and non-invasive blood pressure monitor
$999,553Mohan Thanikachalam · Dynocardia, Inc. · · FY2024 · TIP
Convergence Accelerator Phase I (RAISE): Spatially-Explicit Models, Methods, and Services for Open Knowledge Networks
$999,547Krzysztof W Janowicz · University Of California-Santa Barbara · · FY2019 · TIP
Preparing Students for Artificial Intelligence and Emerging Tech Careers through Industry Partnerships and Experiential Learning
$999,543Rosemary Shumba · Bowie State University · · FY2025 · TIP
MRI: Acquisition of a high-performance GPU-based computer for advanced multiscale materials modeling
$999,491Juan J De Pablo · University Of Chicago · · FY2018 · MPS
Collaborative Research: FEC: Establishing Infrastructure for AI-Driven Discovery of Small Molecules to Combat Antibiotic Resistance, Biofilms, and Aflatoxin Contamination
$999,470Boo Shan Tseng · University Of Nevada Las Vegas · · FY2025 · O/D
Beginnings: Active and Immersive Learning of Post-Quantum Cryptography for Diverse STEM Students
$999,461Lei Zhang · University Of Maryland Baltimore County · · FY2024 · TIP
RAISE: IHBEM: Behavioral Heterogeneity and Uncertainty in Epidemiological Models
$999,442Shane G Henderson · Cornell University · · FY2022 · MPS
INTELLIGENT, UNIVERSAL, LOW-COST EMISSIONS REDUCTION KIT FOR INDUSTRIAL ENGINES THIS IS A PROJECT TO DEVELOP, AND FIELD DEPLOY AN INTELLIGENT, UNIVERSAL, LOW-COST EMISSIONS REDUCTION RETROFIT KIT FOR INDUSTRIAL ENGINES USE IN DIFFERENT SECTORS, ESPECIALLY IN THE OIL AND GAS INDUSTRY. THE PROPOSED TECHNOLOGY INCLUDES REAL-TIME PERFORMANCE SENSING TECHNOLOGIES, ADVANCED MACHINE LEARNING ALGORITHMS, AND ROBUST FEEDBACK CONTROL SYSTEMS FOR ENGINE PERFORMANCE IMPROVEMENT UNDER DIFFERENT OPERATING CONDITIONS. THIS SMART RETROFIT KIT IS ABLE TO SIGNIFICANTLY REDUCE METHANE SLIP FROM DIFFERENT ENGINE TYPES, REDUCE THEIR OPERATIONAL COSTS AND FUEL CONSUMPTION AND ENHANCE THEIR STABILITY AND EFFICIENCY. THE SYSTEM CAN BE INCORPORATED IN A TIMELY MANNER WITH VARIOUS NEW AND OLD INDUSTRIAL ENGINES WITHOUT ANY SPECIFIC LIMITATIONS. THE SUCCESSFUL DEVELOPMENT OF THE PROPOSED SMART TECHNOLOGY WILL BE A BREAKTHROUGH STEP TOWARD THE WIDESPREAD REDUCTION OF METHANE FROM NG ENGINES, AND THE TEAM PLANS TO COLLABORATE WITH OUR INDUSTRIAL PARTNERS TO FULLY COMMERCIALIZE THE TECHNOLOGY DUE TO ITS MARKET IMPACT AND NEEDS.
$999,440University Of Oklahoma · · FY2023 · Department of Energy
CAREER: Scalable approaches for systems virology
$999,421Karthik Anantharaman · University Of Wisconsin-Madison · · FY2021 · BIO
CPS: Medium: Integrated control of biological and mechanical power for standing balance and gait stability after paralysis
$999,396Roger D Quinn · Case Western Reserve University · · FY2017 · CSE
BIGDATA: F: Optimization in Federated Networks of Devices
$999,391Ameet S Talwalkar · Carnegie Mellon University · · FY2019 · CSE
Optoretinography: All-optical measures of functional activity in the human retina
$999,362Ramkumar Sabesan · University Of Washington · U01 · FY2022 · EY
INSPIRE Track 1: Is Evolvability Driven By Emergent Modularity? Biomimetic robots, gene inspired information structures, and the evolvability of intelligent agents
$999,314Kenneth R Livingston · Vassar College · · FY2014 · BIO
Large-scale integrated data analysis of lymphocyte receptor repertoires with workflows
$999,140Gisela Gabernet · Yale University · U01 · FY2025 · AI
Convergence Accelerator Phase I (RAISE): Leveraging Financial and Economic Data - Business OKN
$999,117Jay Pujara · University Of Southern California · · FY2019 · TIP