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TGI Brief: Talking Sense to AI Image Retrieval

TGI Brief: Talking Sense to AI Image Retrieval

by TaylorGeoAdmin | Feb 26, 2024 | Washington University, News, Saint Louis University

by Bob Grant A TGI Fellow and research collaborators are embarking on a project to incorporate natural language and text prompts into AI image retrieval models to better aid investigators. Taylor Geospatial Institute Fellow Abby Stylianou, Ph.D., TGI...
Dispatch from the TGI Consortium: Interactive approach to geospatial search combines aerial imagery, reinforcement learning

Dispatch from the TGI Consortium: Interactive approach to geospatial search combines aerial imagery, reinforcement learning

by TaylorGeoAdmin | Jan 9, 2024 | Core Geospatial Science, News, Washington University

by Shawn Ballard, Washington University in St. Louis Communications Specialist When combatting complex problems like illegal poaching and human trafficking, efficient yet broad geospatial search tools can provide critical assistance in finding and stopping the...
Dispatch from the TGI Consortium: Visual Active Search Tool Developed by McKelvey Engineers Combines Deep Reinforcement Learning, Traditional Active Search Methods

Dispatch from the TGI Consortium: Visual Active Search Tool Developed by McKelvey Engineers Combines Deep Reinforcement Learning, Traditional Active Search Methods

by TaylorGeoAdmin | Dec 18, 2023 | News, Washington University

by Shawn Ballard, Washington University in St. Louis Communications Specialist In geospatial exploration, the quest for efficient identification of regions of interest has recently taken a leap forward with visual active search (VAS). This modeling framework...

Recent Posts

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  • How Geospatial Innovation Can Reduce Food Waste and Improve Access to Nutrition
  • How Can Geospatial Innovation Promote Sustainable Agricultural Land Management? 
  • Joe Cornelius Advocates Geospatial Innovation to Tackle Food Insecurity
  • The Future of Geospatial AI is Here – And It’s Just Getting Started

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