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Find similar grantsAI Bridge Seed Grants (2026) is sponsored by Texas A&M University (Division of Research). Provides one-year seed grants to research teams to prototype new approaches, refine collaborative ideas, and generate preliminary results for larger research investments in interdisciplinary, AI-enabled research.
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Texas A&M Awards First AI Bridge Seed Grants, Fueling Interdisciplinary Innovation – Inside Texas A&M Five collaborative projects will advance AI-enabled research in fields ranging from ecology to energy and public health. " > Five collaborative projects will advance AI-enabled research in fields ranging from ecology to energy and public health.
" /> Five collaborative projects will advance AI-enabled research in fields ranging from ecology to energy and public health. " /> Texas A&M Awards First AI Bridge Seed Grants, Fueling Interdisciplinary Innovation Five collaborative projects will advance AI-enabled research in fields ranging from ecology to energy and public health.
Texas A&M University awarded its first Artificial Intelligence (AI) Bridge Seed Grants, the Division of Research announced today, marking the next milestone in a university-wide effort to accelerate interdisciplinary, AI-enabled research.
The initiative provided one-year, $20,000 seed grants to five research teams, giving them the opportunity to prototype new approaches, refine collaborative ideas and generate the preliminary results needed to pursue larger research investments. “The AI Bridge initiative is an important investment in interdisciplinary research, where artificial intelligence amplifies human ingenuity,” said Dr. Angela K.
Wilson, vice president for research at Texas A&M. “These seed grants are an investment in collaboration that brings together exceptional researchers to solve some of society’s most pressing challenges. By connecting expertise across the university, we are building the partnerships, ideas and momentum that will define the future of AI-enabled discovery and further advance Texas A&M as a global leader in research, innovation and impact.
” Cheng Zhang , Engineering, and Toryn Schafer , Arts and Sciences, “Bridging the Gap in Wildlife Monitoring: A Hybrid AI-Ecological Approach for Cryptic Taxa Detection and Multi-Source Data Fusion. ” Ruihong Huang , Engineering, Zhiyao Yang , Engineering,and Zheng O’Neill , Engineering, “Building Energy Time Series Foundation Model via Physics-Constrained Discrete Tokenization.
” Jian Tao , Performance, Visualization and Fine Arts, Anish Jantrania , AgriLife Research, June Wolfe , Engineering Extension Service, and Rajiv Srivastava , AgriLife Research, “AI-Driven Digital Twin for Safe and Scalable Wastewater Reuse Systems.
” Xianyang Zhang , Arts and Sciences, James Cai , Veterinary Medicine and Biomedical Sciences, and Robert Chapkin , Agriculture and Life Sciences, “GEOcellar: An AI Agent System for Hypothesis Generation and Iterative Analysis of Single-Cell RNA-seq Data. ” Tianbao Yang , Engineering, and Xiaowei Chen , Arts and Sciences, “Self-Supervised Contrastive Learning with Geometry-Constrained Fine-Tuning for DAS-Based Phase Picking.
” The program received 56 proposals representing 122 investigators from across the university, demonstrating both the depth of AI expertise at Texas A&M and the growing interest in interdisciplinary partnerships. Proposals were evaluated by a review panel composed of faculty experts from a broad range of disciplines.
“The response to the inaugural AI Bridge Seed Grant competition demonstrated just how much enthusiasm exists for interdisciplinary AI research across Texas A&M,” said Dr. Henry Fadamiro, associate vice president for research, strategic initiatives. “Those relationships are essential for tackling today’s most complex research questions, and the seed grants provide the support needed to turn promising ideas into lasting collaborations.
” The inaugural AI Bridge Summit and Seed Grant program is supported by the Texas A&M Division of Research, the Texas A&M Institute of Data Science, the Texas A&M Engineering Experiment Station, the College of Arts and Sciences and Texas A&M AgriLife Research.
Workshop To Equip Researchers With Tools for Private-Sector Partnerships Division of Research event offers strategies for building industry and foundation partnerships, from pitching ideas to securing funding. Texas A&M Awards First AI Bridge Seed Grants, Fueling Interdisciplinary Innovation Five collaborative projects will advance AI-enabled research in fields ranging from ecology to energy and public health.
Upgraded iThenticate Platform Simplifies Originality Assessment for Texas A&M Researchers Modernized platform from the Division of Research offers new features to support originality checks for scholarly publishing. Texas A&M Institute of Data Science
According to the current listing, eligibility includes: Research teams at universities & research institutions, particularly within Texas A&M University for the inaugural round. Confirm the full requirements in the official notice before applying.
The current listing shows $20,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
AI Bridge Seed Grants (2026) is funded by Texas A&M University (Division of Research). Verify program details on the funder's official page before applying.
This opportunity targets applicants in Texas. If your organization operates elsewhere, check the official notice for location requirements.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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