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15,895 grants matching “artificial intelligence”
Collaborative Research: CIF: Small: Maximizing Coding Gain in Coded Computing
$375,000Emina Soljanin · Rutgers University New Brunswick · · FY2023 · CSE
DRUG MANAGEMENT SOFTWARE FOR NCI CLINICAL TRIALS
$375,000Ddots, Inc. · R44 · FY2000 · CA
PreCheck: Understanding Press Release Exaggeration (PRE) of Scientific Research
$375,000Bei Yu · Syracuse University · · FY2020 · SBE
Development of Bioinformatic Tools for Virtual Cloning
$375,000Virmatics, Llc · R44 · FY2004 · HG
Collaborative Research: SAI-R: Integrative Cyberinfrastructure for Enhancing and Accelerating Online Abuse Research
$375,000Hongxin Hu · Suny At Buffalo · · FY2022 · SBE
Collaborative Research: SAI-R: Integrative Cyberinfrastructure for Enhancing and Accelerating Online Abuse Research
$375,000Long Cheng · Clemson University · · FY2022 · SBE
Collaborative Research: CS2: DANUBE: Formal Methods for Scientific Computing Bridging the Data-Numerics Behavior Tug-of-War
$375,000Ganesh L Gopalakrishnan · University Of Utah · · FY2025 · CSE
FAI: Using AI to Increase Fairness by Improving Access to Justice
$375,000Kevin D Ashley · University Of Pittsburgh · · FY2021 · CSE
FAI: Towards Holistic Bias Mitigation in Computer Vision Systems
$375,000Nuno M Vasconcelos · University Of California-San Diego · · FY2021 · CSE
CDS&E: Inferring Lattice Dynamics from Temporal X-ray Diffraction Data
$375,000Niaz Abdolrahim · University Of Rochester · · FY2022 · MPS
Collaborative Research: DMREF: Accelerating the Design and Development of Engineered Photonic Materials based on a Data-Driven Deep Learning Approach
$375,000Alexandra Boltasseva · Purdue University · · FY2024 · MPS
Collaborative Research: DMREF: Accelerating the Design and Development of Engineered Photonic Materials based on a Data-Driven Deep Learning Approach
$375,000Wenshan Cai · Georgia Tech Research Corporation · · FY2024 · MPS
SHF: Small: Detecting and Repairing Presentation Failures in Web Applications
$375,000William G Halfond · University Of Southern California · · FY2015 · CSE
COMPUTATIONAL NEUROPEPTIDE DESIGN AND RECEPTOR MATCHING
$374,982Cielo Institute, Inc. · R44 · FY2000 · MH
Automated Plaque Detection and Classification using MRI
$374,972Ischem Corporation · R44 · FY2004 · HL
Bioelectronic Sensor using Synthetically Engineered and Electroactive Bacteria for Detection of Aquatic Nutrients
$374,907Shayla Sawyer · Rensselaer Polytechnic Institute · · FY2021 · ENG
Artificial Intelligence powered virtual digital twins to construct and validate AI automated tools for safer MR-guided adaptive RT of abdominal cancers
$374,815Neelam Tyagi · Sloan-Kettering Inst Can Research · R01 · FY2023 · EB
Collaborative Research: Common Error Diagnostics and Support in Short-answer Math Questions
$374,775Shiting Lan · University Of Massachusetts Amherst · · FY2021 · CSE
Physiological Controller for Rotary Blood Pumps
$374,766Launchpoint Technologies, Inc. · R44 · FY2004 · HL
REU SITE: Research Experiences in IoT-Enabled Smart Communities
$374,750Nalini Venkatasubramanian · University Of California-Irvine · · FY2020 · CSE
FW-HTF-RL: Collaborative Research: Enabling Marginalized Rural and Urban Digital Workers to Collaborate with AI to Learn Skills, Increase Wages, and Access Creative Work
$374,716Chris Callison-Burch · University Of Pennsylvania · · FY2019 · CSE
PRUNING - A CRITICAL PERENNIAL OPERATION REQUIRED TO MAINTAIN TREE HEALTH AND PRODUCE HIGH YIELDS OF QUALITY FRUIT - IS ONE OF THE MOST LABOR-INTENSIVE ORCHARD ACTIVITIES IN THE PRODUCTION OF HIGH-VALUE TREE FRUIT CROPS. AS THE FRESH MARKET TREE FRUIT INDUSTRY CONTINUES TO FACE THE CHALLENGE OF AN UNCERTAIN LABOR FORCE, THE DEVELOPMENT OF ROBOTIC TECHNOLOGIES THAT ARE ABLE TO PERFORM LABOR-INTENSIVE FIELD OPERATIONS - LIKE PRUNING - WILL PLAY A CRUCIAL ROLE IN ITS LONG-TERM SUSTAINABILITY. AUTOMATING SELECTIVE PRUNING IS A COMPLEX PROBLEM REQUIRING HIGH-RESOLUTION SENSING, COMPLEX MANIPULATION, AND ADVANCED DECISION MAKING ON DETERMINING WHICH BRANCHES TO PRUNE. THE SPECIFIC RESEARCH OBJECTIVE OF THIS PROJECT IS TO DEVELOP A ROBOTIC SYSTEM FOR AUTONOMOUS, DORMANT PRUNING OF FRUIT TREES. TO ACCOMPLISH OUR OBJECTIVE, WE HAVE FORMED AN EXPERIENCED, INTERDISCIPLINARY PROJECT TEAM WITH EXPERTISE IN HORTICULTURE, AGRICULTURAL MECHANIZATION, COMPUTER GRAPHICS, AND ROBOTICS.OUR APPROACH BUILDS ON PRELIMINARY INVESTIGATIONS, WHICH INDICATE THAT MACHINE VISION SYSTEMS CAN BE USED TO ANALYZE THE MANUAL PRUNING PROCESS TO I) FORMULATE PRUNING RULES, AND II) IDENTIFY PRUNING LOCATIONS FOR AUTONOMOUS PRUNING OF FRUIT TREES. SPECIFICALLY, OUR APPROACH IS TO FIRST BUILD HIGH-QUALITY DIGITAL MODELS OF THE TREES OFFLINE USING A COMBINATION OF ARTIFICIAL INTELLIGENCE TECHNIQUES AND HUMAN INTERVENTION. SECOND, WE USE THE KNOWLEDGE GAINED FROM STUDYING THE MANUAL PRUNING PROCESS TO FORMULATE PRUNING RULES, WHICH CAN BE 'PRACTICED' ON THE DIGITAL MODELS AND EVALUATED FOR THEIR EFFECTIVENESS. THIRD, WE WILL USE STATE-OF-THE-ART MACHINE LEARNING ALGORITHMS TO MAP PRUNING PLANS BACK TO THE REAL WORLD IN ORDER TO REDUCE ONSITE COMPUTATIONAL DEMANDS. FOURTH, WE WILL DESIGN A CUSTOM END-EFFECTOR THAT CAN LOCALIZE ITSELF IN REAL TIME IN ORDER TO SAFELY AND RELIABLY PERFORM THE PRUNING CUTS. WE EXPECT THAT THE PROPOSED ROBOTIC PRUNING SYSTEM WILL HELP SUSTAIN THE GLOBAL COMPETITIVENESSOF THE US TREE FRUIT INDUSTRY. IN ADDITION, CONSUMERS WILL BENEFIT THROUGH INCREASED ACCESS TO PREMIUM QUALITY FRUIT.
$374,704Oregon State University · · FY2020 · National Institute of Food and Agriculture
Project 1 - HEARTSPOT: Evaluating a Machine Learning System to Aid Decision-Making in the Emergency Department for Patients with ADRD
$374,537Katherine Baicker · National Bureau Of Economic Research · P01 · FY2025 · AG
DNA 3.0: Developing novel enzymes for DNA synthesis with deep learning and combinatorial genetics
$374,524Helge Zieler · Primrose Bio, Inc. · R43 · FY2020 · HG
Object Concepts
$374,225Sharon L Thompson-Schill · University Of Pennsylvania · R01 · FY2013 · EY