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Find similar grantsEmpire AI Supercomputing Center is sponsored by New York State. Funding to advance artificial intelligence research for the public good at the University at Buffalo.
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Empire AI - AI Research for the Public Good Empire AI Registered User Access With Empire AI, New York State is first in the nation to establish a consortium of public and private research institutions advancing AI research for the public good at this scale.
Click Here to Read Who We Are Seeing More in Every Scan: AI for Earlier Detection of Lung Cancer and More Lung cancer is the leading cause of cancer-related death worldwide, but today’s screening programs face major barriers.
Using Empire AI, an RPI researcher is developing a system that learns from large-scale, real-world data to identify subtle patterns that may not be clearly visible to clinicians to offer earlier, more accurate diagnoses. Empire AI for Music Composition While Preserving Artistic Control The rise of generative AI in music has introduced new opportunities but also significant concerns.
A Cornell researcher is using Empire AI to develop AI tools that enhance rather than replace creativity, ensuring that artists remain at the center of the creative process. Understanding How the Brain Makes Decisions Mental health disorders affect approximately 1 in 5 New Yorkers each year, yet the underlying mechanisms of how the brain makes decisions and processes information remain poorly understood.
An NYU researcher is using Empire AI to model brain activity and advance our understanding of how the brain functions and shed light on mental health disorders. Controllable Language Models Widely used large language models often function as “black boxes,” making their outputs difficult to predict or control and limiting their safe deployment in some sensitive domains, like healthcare, education and public services.
A Cornell research team is working to allow users to better guide AI outputs. Detecting Prostate Cancer Subtypes with Empire AI Prostate cancer is one of the most common cancers among men, impacting approximately 15,550 patients annually, but aggressive subtypes can be difficult to detect early. Empire AI is helping to identify these types of cancers, which could improve patient outcomes.
The Latest News & Updates Empire AI Newsletter, June 2026 Binghamton University, State University of New York Binghamton and AI: New initiative hopes to advance artificial intelligence for the public good Empire AI ready for supercomputing leap
Based on current listing details, eligibility includes: Universities in New York State Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Not specified Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
Community Development Block Grant (CDBG) Program is a grant from New York State Homes and Community Renewal (NYS HCR) that provides federal funding to cities, towns, villages, and counties in New York to assist low- and moderate-income communities. Eligible projects include drinking water and sanitary sewer infrastructure, home repair assistance, senior and community center improvements, and small business startup or expansion support. The program targets municipalities with populations under 50,000 (or counties under 200,000), with expert technical assistance available to help communities apply for and administer CDBG funds effectively.
2025-2026 NYS Companion Animal Capital Projects is a grant from the New York State Department of Agriculture and Markets that funds capital improvements to animal shelters and rescue facilities for dogs and cats. Eligible activities include construction, renovation, rehabilitation, equipment acquisition, and expansion of shelter infrastructure focused on heating, ventilation, security, and isolation capabilities. In FY26, $10 million was allocated for this program. Single-municipality grants range from $50,000 to $200,000; multi-municipality projects may receive $100,000 to $500,000, with the grant covering up to 90% of eligible costs. A 10% match is required. Eligible applicants are municipal governments and incorporated nonprofit pounds, shelters, humane societies, and rescue facilities in New York, excluding residential-based operations, and must be prequalified in the NYS Grants Gateway system.
Farm to School (New York State) is a grant from the New York State Department of Agriculture and Markets that funds initiatives to increase the use of locally sourced agricultural products in school meal programs and promote agricultural education in K-12 schools across New York State. The program supports connections between local farmers and schools, helping students learn about food systems and healthy eating while strengthening regional food economies. Awards of up to $150,000 are available to eligible non-profit organizations operating in New York State. The deadline for the most recent cycle was March 12, 2026. This grant aligns with statewide farm-to-school initiatives that build sustainable local food supply chains and improve student nutrition outcomes.
This NOFO provides an opportunity to all FY 2018 NIST SBIR Phase I awardees to submit a Phase II application following completion of Phase I. This NOFO provides instructions for FY 2019 NIST SBIR Phase II application preparation and submission requirements. In Phase II, work from Phase I that exhibits potential for commercial application is further developed. Phase II is the R&D or prototype development phase. To apply for a Phase II award, each Phase I awardee will be required to submit a comprehensive application outlining the proposed research and a detailed plan to commercialize the final product. Each NIST Phase II award is for up to $400,000 and up to a 24-month period of performance. One year after completing the Phase II R&D activity, the awardee shall be required to report on its commercialization activities. Up to an additional $6,500 may be requested for Technical and Business Assistance (TABA); see Section 5.11 for more information about TABA. Funding Opportunity Number: 2019-NIST-SBIR-02. Assistance Listing: 11.620. Funding Instrument: CA. Category: ST. Award Amount: Up to $400K per award.
Local Government Cybersecurity Grant Program (Florida) is sponsored by Florida Digital Service. This Florida state grant program enhances cybersecurity resilience in local governments, with a priority focus on fiscally constrained rural areas. Rather than issuing direct funding, the Florida Digital Service will procure cybersecurity solutions directly on behalf of awarded applicants. The grant supports new or expanded capabilities in preventing, detecting, responding to, and recovering from cyber threats.
NVIDIA Graduate Fellowship Program is a grant from NVIDIA providing up to $60,000 per award to PhD students conducting research that advances accelerated computing and its applications. Now in its 25th year, the program invites nominations from doctoral students pushing the boundaries of artificial intelligence, robotics, autonomous vehicles, and related fields. Recipients receive not only research funding but also access to NVIDIA technology, products, and engineering expertise, along with a mandatory in-person summer internship. Students are nominated by their faculty advisors and selected based on academic achievement and research area alignment.