Sort
48,453 grants matching “machine learning”
Monitoring of disease-induced skin VOC patterns from handheld and wearable chemical sensors
$1,002,189Cristina Elizabeth Davis · University Of California At Davis · U01 · FY2023 · TR
Genetic Architecture of Pure Alzheimer's Disease and Mixed Pathology
$1,001,520Shubhabrata Mukherjee · University Of Washington · R01 · FY2023 · AG
MACHINE LEARNING BASED MODELING FRAMEWORK TO RELATE BIOMASS TISSUE PROPERTIES WITH HANDLING AND CONVERSION PERFORMANCES
$1,001,342University Of Georgia Research Foundation, Inc. · · FY2021 · Department of Energy
DNA evaluation of fragments for early interception (DELFI) of Lung cancer
$1,001,112Victor E Velculescu · Johns Hopkins University · U01 · FY2024 · CA
Collaborative Research: CDI-Type II: BirdCast: Novel Machine Learning Methods for Understanding Continent-Scale Bird Migration
$1,000,865Thomas G Dietterich · Oregon State University · · FY2011 · CSE
SBIR Phase II: DATA-DRIVEN DECISION SUPPORT FOR EFFICIENT PATIENT PROGRESSION
$1,000,648Eric Hamrock · Stocastic, Llc · · FY2017 · TIP
Spectral imaging for automated malignant blast counting
$1,000,582Cambridge Research And Instrumentation · R44 · FY2005 · CA
Alliance for Regenerative Rehabilitation Research & Training 2.0 (AR3T)
$1,000,531Fabrisia Ambrosio · Spaulding Rehabilitation Hospital · P2C · FY2024 · HD
Predicting Pancreatic Ductal Adenocarcinoma (PDAC) Through Artificial Intelligence Analysis of Pre-Diagnostic CT Images
$1,000,481Debiao Li · Cedars-Sinai Medical Center · R01 · FY2022 · CA
Macrophage Polarization in Response to Infections and Inflammation
$1,000,214Pradipta Ghosh · University Of California, San Diego · R01 · FY2020 · AI
High-Performance Intelligent Data-Science Institute (HIDI)
$1,000,002Hoda El-Sayed · Bowie State University · · FY2021 · EDU
D-ISN: TRACK 1: Understanding and Disrupting Key Convergence Nodes of the Illicit Gold and Mercury Supply Chains in Latin America and Africa
$1,000,000Nicole M Smith · Colorado School Of Mines · · FY2021 · ENG
Collaborative Research: DMREF: Establishing a molecular interaction framework to design and predict modern polymer semiconductor assembly
$1,000,000Brendan O'Connor · North Carolina State University · · FY2023 · MPS
BIGDATA: IA: Enabling Large-Scale, Privacy-Preserving Genomic Computing with a Hardware-Assisted Secure Big-Data Analytics Framework
$1,000,000Xiaofeng Wang · Indiana University · · FY2019 · CSE
III: Medium: Learning from Implicit Feedback Through Online Experimentation
$1,000,000Thorsten Joachims · Cornell University · · FY2009 · CSE
A peptide-based point-of-care vertical flow assay for the rapid diagnosis of Lyme disease
$1,000,000Paul Michael Arnaboldi · Biopeptides, Inc. · R44 · FY2021 · AI
FMitF: A Novel Framework for Learning Formal Abstractions and Causal Relations from Temporal Behaviors
$1,000,000Jyotirmoy V Deshmukh · University Of Southern California · · FY2018 · CSE
Convergence Accelerator Phase I (RAISE): Northwestern Open Access to Court Records Initiative
$1,000,000Luis N Amaral · Northwestern University · · FY2019 · TIP
NSF Engines Development Award: Advancing neuroscience technologies to improve cognitive wellness (MO, IL)
$1,000,000Eric Leuthardt · Washington University · · FY2023 · TIP
OPTIMIZATION-BASED MACHINE LEARNING FORDYNAMIC DECISION PROBLEMS
$1,000,000Massachusetts Institute Of Technology · · FY2023 · Department of the Navy
CPS: TTP Option: Medium: Machine learning enabled "smart nets" to optimize sustainable fisheries technologies
$1,000,000Jennifer M Blain · Arizona State University · · FY2019 · CSE
Collaborative Research: DMREF: OP: Multi-Scale Engineered Metamaterials Approaching Fundamental Limits of Linear and Nonlinear Susceptibilities
$1,000,000Arka Majumdar · University Of Washington · · FY2025 · MPS
SHF: Medium: Enabling Real-Time Federated Learning at the Edge: Algorithm and Circuit Co-Design
$1,000,000Borivoje Nikolic · University Of California-Berkeley · · FY2020 · CSE
ACCELERATED DISCOVERY AND DEVELOPMENT OF PEROVSKITES FOR SOLAR THERMOCHEMICAL CHEMICAL HYDROGEN PRODUCTION WE PROPOSE TWO TASKS TO DEVELOP NOVEL OXIDE PEROVSKITES FOR WATER SPLITTING MATERIALS THAT MEET DOE TARGETS FOR COST (< $2/KG H2) AND EFFICIENCY (> 25% SOLAR-TO-HYDROGEN EFFICIENCY). TO THIS END, MATERIALS WILL BE DESIGNED WITH LOW THERMAL REDUCTION TEMPERATURES (< 1400°C), HIGH H2 PRODUCTION CAPACITY (> 200 ΜMOL H2/G/CYCLE), MATERIAL STABILITY AND REACTIVITY OVER MANY CYCLES (< 10% LOSS IN H2 PRODUCTION FROM CYCLES 100 TO 200), AND RAPID REDUCTION AND OXIDATION KINETICS (CYCLE TIMES <= 20 MINUTES). OUR PROJECT AIMS TO ACHIEVE THIS GOAL THROUGH A MATERIALS-BY-DESIGN EFFORT COMBINING QUANTUM CHEMICAL DENSITY FUNCTIONAL THEORY (DFT) COMPUTATION, MACHINE LEARNING (ML), EXPERIMENT, AND CHARACTERIZATION TO RELIABLY IDENTIFY NOVEL SOLAR THERMOCHEMICAL (STCH) PEROVSKITE OXIDES BY ACCOUNTING FOR THE EFFECT OF LOCAL DISORDER ON THE ELECTRONIC STRUCTURE AND OTHER STCH-RELEVANT PROPERTIES DURING HIGH-THROUGHPUT SCREENING. THE GOAL OF THE PROPOSED RESEARCH IS TO UTILIZE ML COMBINED WITH DFT COMPUTATION TO RAPIDLY EVALUATE CANDIDATE STABLE OXIDE PEROVSKITES FOR THERMODYNAMIC VIABILITY IN STCH USING ENTHALPY OF FORMATION (¿HF, FOR STABILITY), ELECTRONIC ENTROPY OF REDUCTION (¿SRED, FOR ELECTRONIC CONTRIBUTIONS TO THE REDUCTION FREE ENERGY, ¿GRED), AND OXYGEN VACANCY FORMATION ENTHALPY (¿HVAC, FOR REDUCTION POTENTIAL, WHICH CORRELATES TO HYDROGEN PRODUCTIVITY). IN BUDGET PERIOD 1 (Y1Q1-Y1Q4), WE WILL DEMONSTRATE THE VIABILITY OF OUR ML-BASED APPROACHES FOR SCREENING MATERIALS AND INVESTIGATING THE EFFECTS OF LOCAL DISORDER ON THE STCH-RELEVANT ELECTRONIC PROPERTIES. IN BUDGET PERIODS 2 AND 3 (Y2Q1-Y2Q4 AND Y3Q1-Y3Q4), WE WILL APPLY THESE MODELS TO FIRST SCREEN AA'BB'O6 PEROVSKITES (A AND B REPRESENTING A WIDE RANGE OF ELEMENTS) FOR STABILITY BASED ON THEIR DECOMPOSITION ENTHALPIES (¿HD > 50 MEV/ATOM), REDUCTION ENTHALPY (2 EV/ATOM < ¿HVAC < 4 EV/ATOM), AND H2 PRODUCTIVITY (>100 ΜMOL/G/CYCLE). THE MOST PROMISING COMPOSITIONAL FAMILIES IDENTIFIED FROM THE SET OF AA'BB'O6 COMPOUNDS WILL THEN BE USED TO INVESTIGATE MULTIPLE AYA'1-YBXB'1-XO6 ALLOYS. THROUGHOUT THE SCREENING PROCESS, WE WILL PERFORM EXPERIMENTS TO DEMONSTRATE THE WATER SPLITTING ABILITY OF CANDIDATE MATERIALS BOTH AT CU AND MINES, AS WELL AS AT EMN NODES. IN ALL THREE BUDGET PERIODS, WE HAVE INCLUDED MILESTONES FOR EXPERIMENTAL FEEDBACK AND VALIDATION OF THE COMPUTATIONAL METHODS AND THE CRITERIA USED FOR DOWN-SELECTION CANDIDATE ACTIVE MATERIALS IDENTIFIED IN TASK 1. WE HAVE ALSO INCLUDED DEI MILESTONES IN BUDGET PERIODS 1-3 WHERE WE WILL GIVE AT LEAST ONE RESEARCH SEMINAR AT AN HBCU OR MSI, HOST AT LEAST 1 STUDENT RESEARCHER FROM AN UNDERREPRESENTED BACKGROUND IN OUR LABS, AND RECRUIT STUDENTS FROM UNDERREPRESENTED BACKGROUNDS TO PARTICIPATE IN A SUMMER OUTREACH PROGRAM AIMED AT EDUCATING EARLY CAREER SCIENTISTS.
$1,000,000The Regents Of The University Of Colorado · · FY2023 · Department of Energy
SBIR Phase II: Artificial Intelligence (AI)-Enabled African Language Database
$1,000,000Michael Odokara-Okigbo · Esm Global Productions Llc · · FY2024 · TIP