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48,453 grants matching “machine learning”
BIGDATA: F: DKM: Addressing the two V's of Veracity and Variety in Big Data
$1,000,000Nitesh Chawla · University Of Notre Dame · · FY2014 · CSE
BIGDATA: IA: Multiplatform, Multilingual, and Multimodal Tools for Analyzing Public Communication in over 100 Languages
$1,000,000Margrit Betke · Trustees Of Boston University · · FY2018 · CSE
RINGS: Object-Oriented Video Analytics for Next-Generation Mobile Environments
$1,000,000Ravi Netravali · Princeton University · · FY2022 · CSE
FET: Medium: ROCS: Recurrent Oscillatory Computing Systems for Rapid Solution of NP-Complete and Deep Learning Problems
$1,000,000Jaijeet Roychowdhury · University Of California-Berkeley · · FY2019 · CSE
SBIR Phase II: Autonomous harvesting, mapping, and forecasting for fresh produce through application of robotics, computer vision, and machine learning
$1,000,000Tim Brackbill · Tortuga Agricultural Technologies · · FY2020 · TIP
Knowledge Management Center for Illuminating the Druggable Genome
$1,000,000Tudor I Oprea · University Of New Mexico Health Scis Ctr · U24 · FY2019 · CA
CPS: Medium: Artificial-intelligence-enabled Atomic Force Microscopy (AI-AFM)
$1,000,000Juan Ren · Iowa State University · · FY2024 · CSE
Pivots: Immersive Experiential Training for Robotic Additive Manufacturing in Construction
$1,000,000Houtan Jebelli · University Of Illinois At Urbana-Champaign · · FY2025 · TIP
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
Mechanisms of Polypeptide Translocation Catalyzed by Class 1 HSP100/Clp Enzymes
$1,000,000Aaron L Lucius · University Of Alabama At Birmingham · · FY2014 · BIO
AI-based AML risk stratification using next generation cytogenomics
$1,000,000Stephen Matthew Eacker · Phase Genomics, Inc. · R44 · FY2024 · CA
Convergence Accelerator Phase I (RAISE): Scalable Knowledge Network to Enable Intelligent Textbooks
$1,000,000Richard G Baraniuk · William Marsh Rice University · · FY2019 · TIP
SBIR Phase II: Accelerating R&D through Streamlined Machine Learning Algorithms for Small Data Applications in Advanced Manufacturing
$1,000,000Daniela E Blanco · Sunthetics, Inc. · · FY2023 · TIP
RINGS: Bumblebee: A Neural Network Transformer Architecture for Summarization and Prediction in Interactive XR Applications
$1,000,000Anthony Rowe · Carnegie Mellon University · · FY2022 · CSE
SHF: Medium: Embracing Architectural Heterogeneity through Hardware-Software Co-design
$1,000,000Chitaranjan Das · Pennsylvania State Univ University Park · · FY2018 · CSE
Collaborative Research: DMREF: Establishing a molecular interaction framework to design and predict modern polymer semiconductor assembly
$1,000,000Natalie Stingelin · Georgia Tech Research Corporation · · FY2023 · MPS
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
BD Spokes: SPOKE: SOUTH: Large-Scale Medical Informatics for Patient Care Coordination and Engagement
$1,000,000Gari D Clifford · Emory University · · FY2016 · CSE
RINGS: A Deep Reinforcement Learning Enabled Large-scale UAV Network with Distributed Navigation, Mobility Control, and Resilience
$1,000,000Yingbin Liang · Ohio State University, The · · FY2022 · CSE
Commercialization Readiness Pilot for A Comprehensive Platform for Pediatric Cranial Evaluation
$1,000,000Reza Seifabadi · Pediametrix Inc. · SB1 · FY2025 · DE
SBIR Phase II: Automated Community and Sentiment Mining for Global Media Preference Understanding
$1,000,000Tristan R Jehan · The Echo Nest Corporation · · FY2008 · TIP
A Multi-Center Group to Study Acute Liver Failure
$1,000,000William M Lee · Ut Southwestern Medical Center · U01 · FY2018 · DK
UCSC-Buck Inst. Genome Data Analysis Center for TCGA Research Network (GDAC)
$1,000,000David H Haussler · University Of California Santa Cruz · U24 · FY2014 · CA
NEW START REP TILED MACHINE LEARNING-ACCELERATED DESIGN OF DE NOVO PROTEIN LIBRARIES FOR DIRECTED DEPOSITION OF PATTERNED SEMICONDUCTOR NANOMATERIALS
$999,999Virginia Commonwealth University · · FY2025 · Department of the Army
SBIR Phase II: Social Platform with Machine Learning Moderation
$999,999Jill Dimond · Sassafras Tech Collective · · FY2021 · TIP