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15,895 grants matching “artificial intelligence”
EMERGENT SPIN TEXTURES AND DYNAMICS OF 2D MATERIALS
$591,720Riccardo Comin · Massachusetts Institute Of Technology · · FY2024 · MPS
An artificial intelligence-driven distributed stereotactic radiosurgery strategy for multiple brain metastases management
$591,660Xuejun Gu · Ut Southwestern Medical Center · R01 · FY2020 · CA
Alzheimer's Clinical Trial InnOvatioN (ACTION) Initiative
$591,645Jeffrey L. Cummings · University Of Nevada Las Vegas · R35 · FY2022 · AG
External Validation and Implementation of a Novel Mobile Health Application for Acute Diarrhea Management across the Lifespan
$591,642Adam Carl Levine · Brown University · R01 · FY2025 · DK
Optimizing the Human-Computer Interaction in Pathology: Understanding the Impact of Computer-Aided Diagnosis Tools on Pathologists' Interpretive Performance
$591,606Joann G Elmore · University Of California Los Angeles · R01 · FY2025 · CA
Large-scale recording of population activity during social cognition in freely moving non-human primates
$591,555Valentin Dragoi · University Of Texas Hlth Sci Ctr Houston · U01 · FY2018 · NS
POSTHARVEST HANDLING OF GREEN ASPARAGUS, ESPECIALLY GRADING AND SORTING, IS EXTREMELY LABOR-INTENSIVE. THERE IS AN URGENT NEED TO DEVELOP LABOR-SAVING, COST-EFFECTIVE TECHNOLOGY FOR THE UNITED STATES (U.S.) ASPARAGUS INDUSTRY TO STAY SUSTAINABLE AND COMPETITIVE. CURRENTLY, THERE HAS BEEN A LACK OF RESEARCH INTO DEVELOPING DEDICATED, COST-EFFECTIVE TECHNOLOGY FOR FULL-SURFACE QUALITY GRADING AND SORTING OF GREEN ASPARAGUS, ESPECIALLY FOR SMALL PRODUCERS. THIS PROJECT IS TO ADVANCE MACHINE VISION AND ARTIFICIAL INTELLIGENCE (AI) FOR HIGH-SPEED QUALITY GRADING AND SORTING OF FRESH GREEN ASPARAGUS, WITH THE GOAL OF TRANSFERRING THE AUTOMATED SORTING TECHNOLOGY TO COMMERCIAL PRODUCERS. IN THIS PROJECT, WE WILL DESIGN AND CONSTRUCT AN INNOVATIVE HARDWARE PLATFORM CAPABLE OF FULL-SURFACE QUALITY DETECTION OF ASPARAGUS SPEARS, DEVELOP AND EVALUATE AN AI-POWERED ALGORITHM PIPELINE FOR REAL-TIME QUALITY DETECTION AND GRADING OF FRESH ASPARAGUS. MOREOVER, WE WILL DESIGN EFFECTIVE SORTING MECHANISMS FOR RELIABLE AND EFFICIENT SEPARATION OF GREEN ASPARAGUS AND DEVELOP AND EVALUATE AN INTEGRATED SYSTEM FOR HIGH-SPEED QUALITY GRADING AND SORTING OF GREEN ASPARAGUS. THE SUCCESS OF THIS PROJECT WILL EMPOWER SMALL U.S. ASPARAGUS PRODUCERS TO REDUCE OR MINIMIZE LABOR COSTS AND INCREASE PROFIT MARGINS, AND CONSISTENTLY SUPPLY HIGH-QUALITY SPEARS, LEADING TO ENHANCED CONSUMER ACCEPTANCE AND SATISFACTION AND EVENTUALLY LONG-TERM FINANCIAL BENEFITS.
$591,499Michigan State University · · FY2025 · National Institute of Food and Agriculture
Explainable Analogical Learning for Oncology Diagnosis and Prediction based on Deep Pathophysiology
$591,468Isabelle Bichindaritz · College At Oswego · R15 · FY2025 · CA
Intensive Speech Motor Chaining Treatment and Artificial Intelligence Integration for Residual Speech Sound Disorders
$591,323Jonathan Preston · Syracuse University · R01 · FY2023 · DC
** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** FARMING IS A LONG JOURNEY THAT STARTS WITH PREPARING THE LAND AND ENDS WITH HARVESTING CROPS. THERE ARE MANY STEPS ALONG THE WAY - PLANTING SEEDS, FIGHTING OFF PESTS AND DISEASE, WATERING, AND ENSURING PLANTS GET THE RIGHT NUTRIENTS. EVERY FARM IS DISTINCT, SHAPED BY THE DECISIONS OF FARMERS AND THE INHERENT FACTORS LIKE SOIL QUALITY AND CLIMATE. HOWEVER, FARMING TODAY IS FACING TIGHTER BUDGETS, LIMITED RESOURCES, AND CHANGING WEATHER PATTERNS. THIS MEANS FARMERS NEED TO MANAGE THEIR LAND EVEN MORE CAREFULLY. THEY NEED TOOLS THAT CAN HELP THEM PREDICT HOW MUCH CROP THEY'LL GET BASED ON THEIR FARMING CHOICES. RIGHT NOW, THAT KIND OF TOOL IS MISSING. OUR STUDY AIMS TO FILL THAT GAP. WE'RE BUILDING A TOOL CALLED DEEPYIELD, USING THE LATEST ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING (DL) TECHNIQUES. IT'S DESIGNED TO PREDICT SUGAR BEET YIELDS, FROM SMALL EXPERIMENTS TO BIG FARMS. THE TOOL WILL GATHER DIFFERENT FORMATS OF DATA FROM DIFFERENT SOURCES, MAKE SENSE OF IT ALL, AND PROVIDE FARMERS WITH CLEAR INSIGHTS ABOUT WHAT FACTORS MOST INFLUENCE THEIR YIELDS. PLUS, IT'LL BE TAILORED TO EACH FARM'S UNIQUE CONDITIONS, RATHER THAN OFFERING A ONE-SIZE-FITS-ALL SOLUTION. WE'RE ALSO PARTNERING WITH WESTERN SUGAR COOPERATIVE, A MAJOR PLAYER IN THE SUGAR BEET INDUSTRY ACROSS FOUR STATES (NE, CO, WY, MT). TOGETHER, WE'LL TEST DEEPYIELD ON OVER 1,000 REAL-WORLD SUGAR BEET FIELDS. AND TO MAKE SURE THE TOOL REACHES FARMERS, WE'RE CREATING A USER-FRIENDLY WEBSITE ON PHREC-IRRIGATION.COM. BY UNDERSTANDING SUGAR BEET FARMING BETTER AND USING RESOURCES WISELY, WE BELIEVE THIS PROJECT WILL HELP FARMERS IMPROVE THEIR METHODS. WHILE WE'RE FOCUSING ON SUGAR BEETS NOW, WE THINK THIS APPROACH COULD WORK FOR OTHER CROPS LIKE CORN, SOYBEAN, AND COTTON TOO.
$591,306Board Of Regents Of The University Of Nebraska · · FY2024 · National Institute of Food and Agriculture
Biomechanical Analysis in Strabismus Surgery
$591,297Joseph L Demer · University Of California Los Angeles · R01 · FY2023 · EY
ARTIFICIAL INTELLIGENCE-BASED DIFFRACTION ANALYSIS (AIDA) FOR POINT-OF-CARE BREAST CANCER CLASSIFICATION
$591,228Children'S Hospital Corporation, The · · FY2019 · Department of the Army
Administrative Core A
$591,100Gerard David Schellenberg · University Of Pennsylvania · U54 · FY2024 · AG
Mapping the blood cancer exposome for environmental risk profiles of mature B-cell neoplasms
$591,095Douglas Ian Walker · Emory University · R01 · FY2023 · ES
Mechanisms and discovery of small-molecule effectors targeting cardiac ion pumps
$591,090Lennane Michel Espinoza-Fonseca · University Of Michigan At Ann Arbor · R01 · FY2024 · HL
From protein structures to effective drugs via machine learning and molecular simulation
$590,806Ron Dror · Stanford University · R35 · FY2025 · GM
Rational translation of gold nanoparticle mediated radiosensitization tothe clinic
$590,750Sunil Krishnan · Mayo Clinic Jacksonville · R01 · FY2022 · CA
Single-cell DNA methylation analysis of human cancer
$590,358Kenneth Aldape · Division Of Basic Sciences - Nci · ZIA · FY2025 · CA
** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** DESPITE MORE THAN 150 YEARS OF RESEARCH, LIPID OXIDATION REMAINS A MAJOR CHALLENGE FOR THE FOOD INDUSTRY DUE TO THE COMPLEXITY OF THE PRODUCTS AND THE MULTIPLE ELEMENTS THAT INFLUENCE OXIDATION. BESIDES THE ECONOMIC LOSSES, RANCID FOOD CAN ALSO AFFECT THE HEALTH OF CONSUMERS. TO CONTROL THIS PROCESS, ANTIOXIDANTS ARE COMMONLY ADDED TO FOODS, OFTEN IN COMBINATIONS OF TWO OR MORE COMPOUNDS. THIS APPROACH CAN EFFECTIVELY INCREASE THE TOTAL ANTIOXIDANT CAPACITY OF THE MIXTURE AND ALLOWS ONE TO DECREASE THE TOTAL AMOUNT OF ANTIOXIDANT USED AND/OR EXTEND THE SHELF-LIFE OF FOODS. ONE ISSUE WITH THIS STRATEGY IS THAT PREDICTING THE INTRICATE INTERPLAY OF VARIABLES INVOLVED IN THESE INTERACTIONS REMAINS A SIGNIFICANT SCIENTIFIC CHALLENGE. THUS, OUR GROUP SEEKS TO LEVERAGE THE POWER OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE TO STREAMLINE THE DEVELOPMENT OF NOVEL ANTIOXIDANT FORMULATIONS. WE AIM TO DEVELOP A ROBUST AI MODEL THAT CAN SIGNIFICANTLY ACCELERATE THE DISCOVERY AND VETTING OF NEW ANTIOXIDANT COMBINATIONS THAT WILL ENHANCE FOOD SAFETY AND ENSURE THE STABILITY OF FATS AND OILS THAT ARE CRITICAL TO THE FOOD SUPPLY CHAIN.
$590,337Clemson University · · FY2024 · National Institute of Food and Agriculture
Deep learning Based Phenotyping and Treatment Optimization for Heart Failure with Preserved Ejection Fraction
$590,310Quanzheng Li · Massachusetts General Hospital · R01 · FY2025 · HL
RI: Medium: Collaborative Research: Game Theory Pragmatics
$590,272Yoav Shoham · Stanford University · · FY2010 · CSE
Tough Talks: A Disclosure Intervention for HIV+ YMSM
$590,141Margo Adams Larsen · Virtually Better, Inc. · R44 · FY2018 · MH
SBE-UKRI: A Novel Theory of Ordered Judgment Processes
$590,081Stephen Broomell · Purdue University · · FY2024 · SBE
RI: Small: Optimal Transport Generative Adversarial Networks: Theory, Algorithms, and Applications
$590,000Qiang Ye · University Of Kentucky Research Foundation · · FY2023 · CSE
CISE-MSI: DP: SaTC: CyIndiBee - CyberInfrastructure for video analysis of individual bee behavior
$590,000Remi Megret · University Of Puerto Rico-Rio Piedras · · FY2023 · CSE