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48,453 grants matching “machine learning”
CPS: Medium: Bio-socially Adaptive Control of Robotics-Augmented Building-Human Systems for Infection Prevention by Cybernation of Pathogen Transmission
$1,199,129Shuai Li · University Of Tennessee Knoxville · · FY2021 · CSE
SCH: Shallow and Deep Personalization for Hearing Aids
$1,199,085Octav Chipara · University Of Iowa · · FY2023 · CSE
SCH: Post-Operative Support for Guiding Elderly Patient Self-Care at Home through Multimodal Lightweight Sensing and Behavioral Modeling.
$1,199,083Mayank Goel · Carnegie Mellon University · · FY2024 · CSE
DMREF: Collaborative Research: Machine learning exploration of atomic heterostructures towards perfect light absorber and giant piezoelectricity
$1,199,063Tony Low · University Of Minnesota-Twin Cities · · FY2019 · MPS
CPS: Medium: Robust Learning for Perception-Based Autonomous Systems
$1,199,055Nikolai Matni · University Of Pennsylvania · · FY2020 · ENG
HCC: Medium: Optimizing Interactive Machine Learning Tools to Support Plant Scientists using Human Centered Design
$1,199,053Alina Zare · University Of Florida · · FY2023 · CSE
RTML: Large: Efficient and Adaptive Real-Time Learning for Next Generation Wireless Systems
$1,199,000Stratis Ioannidis · Northeastern University · · FY2019 · CSE
Center for Advanced Imaging Innovation and Research (CAI2R)
$1,198,860Daniel K Sodickson · New York University School Of Medicine · P41 · FY2022 · EB
Center for Advanced Imaging Innovation and Research (CAI2R)
$1,198,860Daniel K Sodickson · New York University School Of Medicine · P41 · FY2020 · EB
Center for Advanced Imaging Innovation and Research (CAI2R)
$1,198,833Daniel K Sodickson · New York University School Of Medicine · P41 · FY2023 · EB
SBIR Phase II: Self Awareness and Stress Regulation Training via Intelligent Biofeedback
$1,198,750Melis K Yilmaz Balban · Neurosmart Inc. · · FY2024 · TIP
THERE IS GROWING EVIDENCE THAT AGRICULTURAL PRACTICES INFLUENCE THE SPREAD OF ANTIBIOTIC RESISTANCE TO ANIMALS AND HUMANS. RECENT TECHNOLOGICAL ADVANCES NOW MAKE IT POSSIBLE TO DEEPLY PROBE METAGENOMES AS A MEANS OF TRACKING ANTIBIOTIC RESISTANCE GENES (ARGS) AND MOBILE GENETIC ELEMENTS THAT FACILITATE THEIR PROLIFERATION (I.E., THE "RESISTOME") IN AGRO-ECOSYSTEMS. HOWEVER, THERE IS AN URGENT NEED FOR ACCESSIBLE COMPUTATIONAL TOOLS TO AID IN MEANINGFULLY INTERPRETING SUCH DATA, PARTICULARLY IN THE CONTEXT OF IMPORTANT META-DATA SUCH AS ANTIBIOTIC OCCURRENCE AND PERSISTENCE, PHYSICO-CHEMICAL FACTORS, AND ASSOCIATED MANAGEMENT PRACTICES. SUCH TOOLS ARE NEEDED TO INFORM SCIENCE-BASED REGULATION, POLICY, AND PRACTICE FOR LIMITING THE DISSEMINATION OF RESISTANCE TO THE ENVIRONMENT AND THROUGH THE FOOD CHAIN. THE AIM OF THE PROPOSED PROJECT IS TO DEVELOP WEB-BASED TOOLS INFORMED BY COMPUTATIONAL MODELS APPLIED TO OUR UNIQUE, COMPREHENSIVE ANTIBIOTIC, ARG, AND RESISTANT BACTERIA DATA SETS CORRESPONDING TO VARIOUS MANAGEMENT STRATEGIES (E.G., RESTRICTED ANTIBIOTIC USE, MANURE TREATMENT, LAND MANAGEMENT PRACTICES, AND CROP PRODUCTION). OUR NOVEL SYSTEMS APPROACH WILL INTEGRATE METAGENOMICS, STATE-OF-THE-ART ANTIBIOTIC ANALYSIS, AND POWERFUL COMPUTATIONAL TOOLS, INCLUDING MACHINE LEARNING, TO COLLECTIVELY EVALUATE MULTIPLE CRITICAL CONTROL POINTS FOR MITIGATING ANTIBIOTIC RESISTANCE IN THE FOOD PRODUCTION ECOSYSTEM. EDUCATIONAL AND OUTREACH PROGRAMS WILL DISSEMINATE INFORMATION AND TOOLS TO RELEVANT STAKEHOLDERS, INCLUDING RESEARCHERS, VETERINARIANS, FARMERS, PRACTITIONERS, AND POLICY-MAKERS, THROUGH PUBLICATIONS, WEBINARS, TRAININGS, AND WORKSHOPS. WE WILL EXPAND OUR RECENTLY LAUNCHED AGSOAR TRAINING PROGRAM TO INCLUDE COMPUTATIONAL METHODOLOGIES AND COURSE MODULES FOR UNDERGRADUATE, GRADUATE AND VETERINARY STUDENTS. THE PROPOSAL ADDRESSES PRIORITY CODE A4171, EFFECTIVE MITIGATION STRATEGIES FOR ANTIMICROBIAL RESISTANCE.
$1,198,685Virginia Polytechnic Institute & State University · · FY2017 · National Institute of Food and Agriculture
Algorithms for Threat Detection in Sensor Systems for Analyzing Chemical and Biological Systems Based on Compressive Sensing and L1 Related Optimization
$1,198,663Stanley J Osher · University Of California-Los Angeles · · FY2011 · MPS
SBIR Phase II: Creating high-quality, lower-cost soil maps using machine learning algorithms
$1,198,651Yones Khaledian · Soilserdem Llc · · FY2023 · TIP
SBIR Phase II: Optimizing emergency department nurse scheduling via a novel operational intelligence platform
$1,198,621Stephanie Gravenor · Medecipher, Inc. · · FY2021 · TIP
SCH: Human-Centered Reinforcement Learning for Personalized Nutritional Coaching
$1,198,522Lena Mamykina · Columbia University · · FY2023 · CSE
CRCNS: Coordinating learning by top-down gating of plasticity in dendrites
$1,198,125Aaron D Milstein · Rutgers Biomedical And Health Sciences · RF1 · FY2025 · MH
Combined Mechanistic and Input-Output Modeling of the Hippocampus During Spatial Navigation
$1,198,121Dong Song · University Of Southern California · RF1 · FY2021 · DA
SBIR Phase II: Implementation of Machine Learning Module in Novel Relay Trucking Pilot
$1,197,871Aayush Thakur · Connect Dynamics, Inc. · · FY2024 · TIP
FuSe2 Topic 3: Co-designing Indium-based Sol-gel Precursors for Extreme Ultraviolet Resist and Back-end-of-the-line Oxide Nanoelectronics
$1,197,622Julia W Hsu · University Of Texas At Dallas · · FY2024 · MPS
SCC-CIVIC-FA Track A: CiBiC
$1,197,612Carlos F Wagmister · University Of California-Los Angeles · · FY2021 · CSE
Ideas Labs: Data-Intensive Research in Science and Engineering
$1,197,410Suzanne L Weekes · Society For Industrial And Applied Math (Siam) · · FY2019 · CSE
The Kidney Disease in Children Data Management and Analysis Center (KIDMAC)
$1,197,013Derek K Ng · Johns Hopkins University · U24 · FY2023 · DK
SBIR Phase II: An Automated Drone-Based Cattle Monitoring Service
$1,196,819Shoshana Ginsburg · Imaginag Tech, Llc · · FY2021 · TIP
Cognitively engaging walking exercise and neuromodulation to enhance brain function in older adults
$1,196,816David J Clark · University Of Florida · R01 · FY2025 · AG