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48,453 grants matching “machine learning”
High-dimensional chemical targeting of multiple neuron types to regulate energy balance
$800,000Mark L Andermann · Beth Israel Deaconess Medical Center · DP1 · FY2025 · DK
Collaborative Research: Frameworks: Convergence of Bayesian inverse methods and scientific machine learning in Earth system models through universal differentiable programming
$800,000Sri Hari Krishn Narayanan · University Of Chicago · · FY2021 · CSE
Collaborative Research: RI:Medium:MoDL:Mathematical and Conceptual Understanding of Large Language Models
$800,000Sanjeev Arora · Princeton University · · FY2022 · CSE
An Explainable Machine Learning Platform for Single Cell Data Analysis
$800,000Aidong Zhang · University Of Virginia Main Campus · · FY2023 · BIO
** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** THIS RESEARCH WILL GENERATE NEW KNOWLEDGE REGARDING THE GLOBAL IMPLICATIONS OF THE RUSSIAN INVASION OF UKRAINE FOR AGRICULTURAL TRADE AND VALUE CHAINS, COMMODITY PRICES, AND CROSS-BORDER INVESTMENT. BEYOND THE SEVERE HUMANITARIAN CONSEQUENCES, THE WAR IN UKRAINE HAS FAR-REACHING ECONOMIC IMPLICATIONS FOR GLOBAL AGRICULTURAL AND FOOD MARKETS. BOTH COUNTRIES EXPORT STAPLE GRAINS, OILSEEDS, VEGETABLE OIL AND MEAL, FERTILIZER, AND ENERGY PRODUCTS. TO PROVIDE ROBUST QUANTITATIVE EVIDENCE ON THE SHORT-RUN AND LONG-RUN TRADE AND VALUE CHAIN IMPLICATIONS AND THE REGION-SPECIFIC GLOBAL REALLOCATION AND WELFARE EFFECTS, WE WILL USE A NEWLY CONSTRUCTED DATASET ON TRADE SANCTIONS AND EXPORT BANS IMPOSED IN RESPONSE TO THE RUSSIA-UKRAINE WAR, HIGH-FREQUENCY TRADE, AND DETAILED VALUE CHAINDATA, AND THEORY-CONSISTENT EMPIRICAL MODELS. INSIGHTS FROM THIS APPLIED TRADE ANALYSIS WILL INFORM AN EMPIRICAL ASSESSMENT OF COMMODITY PRICES BUILDING ON ADVANCED MACHINE LEARNING TECHNIQUES AND FOOD SECURITY IMPLICATIONS USING NATIONAL AND HOUSEHOLD-LEVEL FOOD SECURITY DATA FROM DEVELOPING COUNTRIES. WE WILL UTILIZE DETAILED FIRM-LEVEL INVESTMENT DATA AND STATE-OF-THE-ART CAUSAL INFERENCE METHODS TO SHED LIGHT ON THE GLOBAL IMPLICATIONS OF ECONOMIC SANCTIONS AND INVESTMENT UNCERTAINTY FOR CROSS-BORDER CAPITAL FLOWS IN THE AGRICULTURAL AND FOOD INDUSTRY. THIS ANALYSIS OF THE ECONOMIC CONSEQUENCES OF RUSSIA'S INVASION OF UKRAINE WILL PROVIDE ROBUST QUANTITATIVE EVIDENCE REGARDING A CRITICAL DRIVER OF GLOBAL TRADE, COMMODITY PRICE, AND INVESTMENT UNCERTAINTY. CONSEQUENTLY, THE PROJECT WILL DELIVER ESSENTIAL KNOWLEDGE ON THE FUNCTIONING OF AGRICULTURAL MARKETS UNDER ECONOMIC AND TRADE UNCERTAINTY AND ENHANCE MARKET EFFICIENCY AND PERFORMANCE. INSIGHTS DRAWN FROM THIS RESEARCH WILL HELP INFORM FEDERAL POLICIES THAT FOSTER THE COMPETITIVENESS OF U.S. FARMERS AND RANCHERS AND INCREASE THEIR PARTICIPATION AND SUCCESS IN GLOBAL AGRICULTURAL AND FOOD MARKETS.
$800,000North Dakota State University · · FY2023 · National Institute of Food and Agriculture
Collaborative Research: CIF: Medium: Statistical and Algorithmic Foundations of Efficient Reinforcement Learning
$800,000Andrea Zanette · Carnegie Mellon University · · FY2021 · CSE
PDaSP: Track 3: Rigorous and Performant Differentially Private Machine Learning via OpenDP
$800,000Salil P Vadhan · Harvard University · · FY2025 · TIP
NeuroNex Innovation Award: Behavioral Technologies
$800,000Adam Kepecs · Cold Spring Harbor Laboratory · · FY2017 · BIO
SCH: Intelligent Radiology Through Human-Machine Cooperation
$800,000Ali Adibi · Georgia Tech Research Corporation · · FY2022 · CSE
SLES: Vision-Based Maximally-Symbolic Safety Supervisor with Graceful Degradation and Procedural Validation
$800,000Jia Deng · Princeton University · · FY2023 · CSE
Collaborative Research: SHF: Medium: Co-optimizing Spectral Algorithms and Systems for High-Performance Graph Learning
$800,000Zhuo Feng · Stevens Institute Of Technology · · FY2022 · CSE
A Neuroethological Approach to Understanding Cerebellar Function
$800,000Nathaniel B Sawtell · Columbia University · · FY2022 · BIO
SiTS NSF-UKRI: Large Area Distributed Real Time Soil (DiRTS) Monitoring
$800,000Sameer Sonkusale · Tufts University · · FY2020 · ENG
Collaborative Research: IIS: RI: Medium: Lifelong learning with hyper dimensional computing
$800,000Sanjoy Dasgupta · University Of California-San Diego · · FY2022 · CSE
Collaborative Research: HCC: Medium: Differentiable Rendering for Computer Graphics
$800,000Ravi Ramamoorthi · University Of California-San Diego · · FY2021 · CSE
Collaborative Research: SHF: Medium: Spatial Multi-Tenant Neural Acceleration for Next Generation Datacenters
$800,000Manya Ghobadi · Massachusetts Institute Of Technology · · FY2021 · CSE
INSPIRE Track 1: Collaborative Research: Transforming Remotely-conducted Research through Ethnography, Education and Rapidly-Evolving Technologies
$800,000Christopher R German · Woods Hole Oceanographic Institution · · FY2013 · GEO
Collaborative Research: Robust Deep Learning in Real Physical Space: Generalization, Scalability, and Credibility
$800,000Guang Lin · Purdue University · · FY2021 · MPS
CPS Medium: Cooperative Driving in Heterogeneous Traffic of Manned and Unmanned Vehicles
$800,000Weihua Sheng · Oklahoma State University · · FY2022 · ENG
TWC: Medium: Collaborative: Aspire: Leveraging Automated Synthesis Technologies for Enhancing System Security
$800,000Dawn Song · University Of California-Berkeley · · FY2014 · CSE
CNS Core: Medium: When Next Generation Wireless Networks Meet Machine Learning
$800,000Mehrdad Mahdavi · Pennsylvania State Univ University Park · · FY2020 · CSE
Amino acid networks in enzyme catalysis
$800,000David D Boehr · Pennsylvania State Univ University Park · · FY2016 · BIO
CC*Integration-Large: Programmable Network Testbed for 400 Gbps Science DMZ
$800,000Sanjay G Rao · Purdue University · · FY2024 · CSE
RI: Machine Learning for Robust Recognition of Invertebrate Specimens in Ecological Science
$800,000Thomas G Dietterich · Oregon State University · · FY2007 · CSE
** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** THE RESEARCH PROJECT AIMS TO ASSESS THE IMPACTS OF REGULATIONS FOR GENETICALLY MODIFIED (GM) ORGANISMS. THE OVERARCHING GOAL IS TO PROVIDE NOVEL INSIGHTS INTO THE ECONOMIC CONSEQUENCES OF SUCH REGULATIONS ACROSS FOUR CRITICAL DIMENSIONS. FIRSTLY, WE WILL EXAMINE TECHNOLOGY ADOPTION, AGRICULTURAL PRODUCTIVITY, AND WELFARE IN THE CONTEXT OF GM REGULATIONS. WE WILL DEVELOP A NEW QUANTITATIVE TRADE MODEL THAT OFFERS A PRECISE TOOL FOR MEASURING THE INFLUENCE OF THESE BARRIERS ON CRITICAL AGRICULTURAL OUTCOMES. SECONDLY, WE WILL USE ADVANCED MACHINE-LEARNING TECHNIQUES TO UNCOVER THE COMPLEX ECONOMIC, SOCIAL, AND POLITICAL DETERMINANTS SHAPING GM REGULATIONS AND PROVIDE VALUABLE INSIGHTS INTO AGRICULTURAL TRADE POLICY FORCES. THIRDLY, WE WILL ASSESS THE IMPACT ON INTERNATIONAL TRADE, DELVING INTO TRADE BARRIERS, MARKET ACCESS, AND TRADE DISPUTES TO UNCOVER HOW GM REGULATIONS SHAPE GLOBAL AGRICULTURAL TRADE PATTERNS AND INFLUENCE ECONOMIES WORLDWIDE. FOURTHLY, OUR RESEARCH WILL PROVIDE EVIDENCE ON THE ECONOMIC WELFARE AND FOOD SECURITY IMPLICATIONS OF GM MARKET BARRIERS. WE WILL QUANTIFY ECONOMIC WELFARE EFFECTS, REVEALING GAINS AND LOSSES FOR U.S. AGRICULTURE IN DIVERSE MARKETS OVER TIME. OUR PROJECT WILL ALSO EXAMINE THE MULTIFACETED IMPACT OF GM REGULATIONS ON FOOD SECURITY, INCLUDING AVAILABILITY, ACCESS, STABILITY, AND UTILIZATION. THEREFORE, THIS RESEARCH WILL PROVIDE A COMPREHENSIVE, DATA-DRIVEN PERSPECTIVE ON GM ADOPTION, BORDER REGULATIONS, AGRICULTURAL TRADE, ECONOMIC WELFARE, AND FOOD SECURITY. THESE RESULTS WILL INFORM POLICYMAKING, PROMOTE INTERNATIONAL COOPERATION, ESTABLISH A SOLID FOUNDATION FOR UNDERSTANDING GM MARKET BARRIERS, AND FOSTER A DEEPER UNDERSTANDING OF THE COMPLEX TRADE-OFFS ASSOCIATED WITH GM REGULATIONS ON A GLOBAL SCALE.
$800,000North Dakota State University · · FY2024 · National Institute of Food and Agriculture