AI Defense Grants

The Department of Defense FY2026 Defense University Research Instrumentation Program (DURIP) provides funding for U.S. universities to acquire research equipment and instrumentation in areas important to national defense, including AI and machine learning hardware. The program is administered jointly by the Army Research Office (ARO), Office of Naval Research (ONR), and Air Force Office of Scientific Research (AFOSR), with approximately $34 million available and 95 awards anticipated. DURIP funds the acquisition of specialized computing hardware for AI/ML research (GPU clusters, TPUs, neuromorphic processors), robotics and autonomous systems testbeds, sensor arrays and data collection systems for machine learning training, high-performance computing infrastructure for defense-relevant AI research, and laboratory equipment for human-AI interaction studies. The program specifically supports equipment that enhances research-related education in DoD-priority disciplines. While general-purpose computing is not eligible, computing equipment directly supporting DoD-relevant AI research programs qualifies. No cost sharing is required.

The Department of Defense announced the Fiscal Year 2026 Multidisciplinary University Research Initiative (MURI), a major competitive funding program with $170 million total across 22 topic areas. MURI supports basic research in science and engineering at U.S. institutions of higher education with emphasis on multidisciplinary research efforts where more than one traditional discipline interacts to provide rapid advances in scientific areas of interest to the DoD. The program is jointly sponsored by the Office of Naval Research (ONR), the Army Research Office (ARO), and the Air Force Office of Scientific Research (AFOSR). Topic areas span autonomous systems, AI and machine learning, quantum science, advanced materials, and other frontier research domains relevant to national defense. Individual MURI grants typically provide $1.25 million to $1.5 million per year for three years, with an option for two additional years. The funding opportunity number is W911NF25S0004. Optional white papers were due May 2, 2025, and full proposals are due September 5, 2025. MURI has operated for over 40 years and is one of the DoD's premier mechanisms for university-based fundamental research. The program emphasizes close management by Service Program Officers and requires true multidisciplinary collaboration.

CIFAR and the Canadian AI Safety Institute fund Catalyst Project proposals addressing sociotechnical considerations in AI safety. The program supports interdisciplinary research in machine learning applications to science and society, with recent funded projects spanning misinformation combat, trustworthy language models, democratic alignment of AI systems, Indigenous AI governance, and real-world safety in autonomous systems. Designed to catalyze new research areas and collaborations at the intersection of social sciences, humanities, and AI safety.

Department of Defense (DoD) SBIR/STTR BAA & CSO Release 5 is a grant from the U.S. Department of Defense SBIR/STTR Program that funds innovative research and development by U.S. small businesses addressing specific defense technology needs across military departments and agencies. The program releases multiple topic areas per cycle through Broad Agency Announcements (BAA) and Commercial Solutions Openings (CSO), covering areas such as advanced materials, sensors, software, and autonomous systems. Eligible applicants are U.S. small business concerns; both Phase I proposals and Direct-to-Phase II proposals are accepted. Awards are typically up to $250,000 for Phase I and up to $2 million for Direct-to-Phase II. The most recent deadline was March 25, 2026.

The USDA NIFA Agriculture and Food Research Initiative (AFRI) Strengthening Agricultural Systems (SAS) program awards large-scale integrated research, education, and extension projects addressing complex agricultural challenges. USDA anticipates awarding 10-12 grants ranging from $2.5 million to $10 million per award. The program supports projects incorporating AI, machine learning, and data science to strengthen food production, agricultural sustainability, and rural community resilience. Projects may address precision agriculture, autonomous systems, climate-smart farming, supply chain optimization, and workforce development in agricultural technology.

The Horizon Europe Cluster 4 call HORIZON-CL4-2026-05-DIGITAL-EMERGING-02 funds research and innovation on next-generation AI agents capable of operating autonomously in complex real-world environments. With a budget of approximately €20 million, this Research and Innovation Action (RIA) call supports projects developing agentic AI systems that can reason, plan, and act in dynamic settings across sectors such as manufacturing, healthcare, autonomous systems, and public services. The call is part of the broader 2026-2027 Horizon Europe Work Programme, which dedicates an estimated €2,023 million to AI-related topics across Cluster 4. Projects are expected to advance the state of the art in multi-agent coordination, robust decision-making under uncertainty, and safe deployment of autonomous AI systems. This call complements the GenAI4EU initiative and RAISE programme, collectively representing Europe's largest-ever investment in AI research.

NASA SBIR 2026 Phase I BAA for AI Autonomy Robotics and Intelligent Space Systems is sponsored by National Aeronautics and Space Administration (NASA). NASA's 2026 SBIR Phase I program includes AI and autonomy-focused subtopics for small businesses developing innovative space technologies. Key AI-relevant topics include Autonomous Onboard Health Management for Small Spacecraft and Distributed Systems, Fault Management Technologies for Autonomous Systems, Robotic Mobility Manipulation and Sampling for planetary exploration, and High Performance Onboard Computing.

NASA SBIR/STTR 2026 Phase I is sponsored by National Aeronautics and Space Administration (NASA). Solicitation for Phase I proposals under the 2026-2027 BAA Appendices A and B, supporting innovative technologies for NASA missions including advanced computing, AI, simulations, and quantum technologies applicable to infrastructure and modeling. Key AI-relevant topics include Autonomous Onboard Health Management for Small Spacecraft and Distributed Systems, Fault Management Technologies for Autonomous Systems, Robotic Mobility Manipulation and Sampling for planetary exploration, and High Performance Onboard Computing.

Small Business Innovation Research Program (NSF SBIR/STTR) is sponsored by National Science Foundation (NSF). The NSF SBIR/STTR program funds high-risk, high-impact technologies developed by U.S. startups. The Artificial Intelligence (AI) topic specifically emphasizes next-generation AI technologies, including cutting-edge hardware technologies needed for sustainable AI, novel devices and architectures, and smart and secure edge devices, which directly relate to AI microelectronics.

Artificial Intelligence (AI) SBIR/STTR Phase I is sponsored by National Science Foundation (NSF). This NSF SBIR/STTR topic focuses on cutting-edge AI technologies that are safe, reliable, fair, robust against adversaries, privacy-preserving, and efficient. It also includes novel hardware technologies for sustainable AI, edge devices (i.e., intelligent systems on a chip for applications such as voice assistants), and AI technologies that lead to better hardware systems. The program funds high-risk, high-impact technologies with strong commercial potential.

Artificial Intelligence (AI) - NSF SBIR is sponsored by National Science Foundation (NSF) SBIR. This NSF SBIR topic focuses on cutting-edge technologies in deep learning-based AI systems and AI-based hardware. It emphasizes next-generation AI technologies that are safe, reliable, fair, robust against sophisticated adversaries, privacy-preserving, and computationally efficient. Sub-topics include Computer Vision Based AI Technologies and Technologies for Trustworthy AI (safe, fair, transparent, privacy-preserving, explainable, and/or secure).

AI Framework for Multimodal Scene Construction and Data Generation is sponsored by Department of the Air Force. This SBIR topic aims to develop an AI framework that generates geo-specific multimodal scenes (RF and EO/IR) using geospatial, environmental, and sensor data. This is to produce high-fidelity synthetic datasets for training autonomous systems and AI/ML models in realistic operational environments.

This DoD SBIR Phase I topic seeks runtime monitoring systems that detect and mitigate errors in AI-driven autonomy for unmanned aerial platforms, ensuring safe flight and mission execution. The system must identify faulty autonomous decisions in real time and trigger corrective actions to maintain operational safety. As autonomous unmanned platforms become central to Air Force operations, ensuring that AI decision-making remains reliable and recoverable during mission execution is a critical safety requirement. The runtime assurance system should monitor AI outputs against defined safety boundaries, detect anomalous autonomy behavior, implement graceful degradation when AI systems malfunction, and provide real-time logging for post-mission analysis. This technology is essential for building the trust and reliability needed to deploy autonomous systems in contested and complex environments. Part of DoD SBIR Release 26.2, this topic addresses the Air Force's need for verified and validated autonomy that can be trusted for operational deployment. Successful Phase I performers may compete for Phase II prototype development funding.

U.S. Air Force SBIR DAF26BZ01-NV003: Low-Cost is a grant from the U.S. Air Force that funds small businesses developing low-cost defense and aerospace technologies through the DoD SBIR program. This specific solicitation is part of a broader U.S. Air Force SBIR batch covering topics such as low-cost modular payload vehicles for electronic warfare swarms, low-cost phased array antennas for collaborative jamming in small UAS swarms, autonomous systems, AI frameworks, space logistics, and sensor technologies. Eligible applicants are small businesses that submit proposals through the official DoD SBIR application portal. Awards and specific funding amounts are listed in the official solicitation notice. Teams can collaborate via the DoD Team Builder tool.

Novel Experiential Technologies Assisting Individual Learning Hubs (NExT AI Hubs) is sponsored by Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) - NIH. This initiative seeks to advance NICHD's mission through a Centers program that will carry out research on understudied, highly innovative, and high-risk research topics related to the impact of Artificial Intelligence (AI) technologies on developmental outcomes in children at r…

The AWS Imagine Grant 2026 supports US-based nonprofit organizations leveraging cloud technology and AI to accelerate their missions. The program offers three distinct award tracks. The Pathfinder Award is designed for organizations with strong data practices that are building frontier AI applications including generative AI, agentic AI, and autonomous systems, providing up to $200,000 in unrestricted cash plus $100,000 in AWS credits with implementation support from the AWS Generative AI Innovation Center. The Go Further, Faster Award supports innovative cloud projects with up to $150,000 cash and $100,000 credits. The Momentum to Modernize Award helps organizations modernize their infrastructure with up to $50,000 cash and $20,000 credits. Since 2018, AWS has distributed over $21 million in grants through this program. The two-round selection process evaluates Round 1 applications before inviting finalists to submit full proposals.

NHMRC-SNSF Joint Research Projects (JRP) Call for Proposals 2026 is sponsored by National Health and Medical Research Council (NHMRC) & Swiss National Science Foundation (SNSF). This joint call invites research proposals addressing key challenges related to the use of Artificial Intelligence (AI) in healthcare for populations of diverse sex, gender or sexual orientations or other underrepresented population groups.

AI Forge: Accelerating AI breakthroughs for national security is sponsored by Defense Advanced Research Projects Agency (DARPA). A joint DARPA and NSF research and development program to catalyze breakthroughs in AI for national security, working with the Center for AI Standards and Innovation (CAISI) at NIST. It aims to accelerate progress towards AI that is significantly more reliable, predictable, understandable, and secure in high-stakes settings. The program will establish a forum of universities, industry, and U.S. government representatives to fund and manage fast-paced, university-led research projects.

NEARNG Targeted Advertising with AI Capabilities is sponsored by Nebraska Army National Guard (NEARNG). This is a Request for Quote (RFQ) for comprehensive lead generation services and Artificial Intelligence (AI) marketing tools to increase enlistments for the Nebraska Army National Guard (NEARNG). The acquisition is set aside for small business concerns.

DARPA's Tactical Technology Office (TTO) Office-Wide Broad Agency Announcement (HR001125S0011) solicits revolutionary defense platforms, systems, and manufacturing approaches. TTO organizes its interests around four thrust areas: Design/Build/Buy, Surge and Sustain, Long Range Effects, and Disruptive Innovation. The Disruptive Innovation thrust specifically targets low-cost autonomous systems that can use mass to overwhelm defensive systems, approaches that disrupt sensor-stealth dynamics, and capabilities that undermine adversary readiness. AI and autonomous systems feature prominently across all thrust areas. TTO is distinct from DARPA's I2O (software/information) and DSO (science) offices by focusing on physical systems, platforms, and tactical capabilities. Executive summaries are encouraged before full proposal submission to receive early feedback on relevance.

The DARPA Tactical Technology Office (TTO) Office-Wide BAA (HR001125S0011) solicits innovative proposals for revolutionary defense platforms, systems, and manufacturing approaches. The TTO mission is to reimagine military hardware design, development, test, manufacture, and sustainment with a focus on rapid, affordable, and scalable deployment. Three focus areas are targeted: Design/Build/Buy (disrupting systems engineering and acquisition processes), Long Range Effects (enabling decisive military effects at tactical to strategic distances), and Disruptive Innovation (rapidly fielding novel engineering approaches that disrupt the battlefield). The Disruptive Innovation area specifically includes low-cost autonomous systems that use mass to overwhelm defensive systems, making this highly relevant for AI-driven autonomy and robotics companies. This BAA is distinct from DARPA's DSO and I2O office-wide BAAs which focus on basic science and information innovation respectively. TTO focuses on operational technology demonstrations and system prototyping.

AI Forge Program: University Research Capabilities for Artificial Intelligence (AI) Strategic Thrusts Request for Information (RFI) is sponsored by Defense Advanced Research Projects Agency (DARPA). This Request for Information (RFI) from DARPA's AI Forge Program aims to identify and leverage the artificial intelligence (AI) capabilities and research interests of U. S. universities.

AFWERX is the innovation arm of the Department of the Air Force powered by the Air Force Research Laboratory (AFRL), comprising four core arms: AFVentures, Spark, Prime, and SpaceWERX. The 2026 SBIR/STTR program supports U.S.-owned small businesses developing AI, autonomous systems, and dual-use technologies aligned with the Department of the Air Force's strategic goal of becoming an AI-first force. AFWERX uses a predictable monthly cadence with pre-releases on the first Wednesday of each month, followed by one-month open submission windows. The program offers a structured progression from Phase I feasibility studies ($75K-$180K) through Phase II prototype development ($1.25M-$1.8M) to growth-stage funding via TACFI ($375K-$2M) and STRATFI ($3M-$15M), enabling small AI companies to scale from initial concept to operational deployment. AI focus areas align with the DAF AI Strategy released in 2026, including decision-support AI, autonomous platforms, AI for predictive maintenance, computer vision for ISR, and human-machine teaming. Upcoming FY2026 open solicitations include DoW SBIR Specific Topic 26.BZ Release 1 (May 6-June 3, 2026), Release 2 (May 27-June 24, 2026), and STTR Specific Topic 26.TZ Release 1 (May 6-June 3, 2026).

Cures Within Reach – Clinical Trials to Validate AI-Driven Drug Repurposing is sponsored by Cures Within Reach. This grant supports investigator-initiated, proof-of-concept, Phase I or Phase IIA clinical trials to validate artificial intelligence (AI)-driven repurposing opportunities in any unsolved disease. The therapies supported by AI models must already be approved, and eligible trials must include AI-generated data as part of the preclinical support for the trial. This could be highly relevant for identifying existing drugs that AI suggests could be effective in colorectal cancer.

U.S. Creative Tech Exchange (U.S.CTX) is sponsored by U.S. Department of State, Bureau of Educational and Cultural Affairs (ECA). This international arts exchange program connects U.S. creative professionals and technologists with international peers working at the intersection of arts and emerging technologies, especially artificial intelligence (AI). The goal is to drive economic growth and position American technology as a key driver of American innovation, economic, and cultural influence in art and technology. Eligible arts include architecture, creative coding and gaming, fashion, graphic design, music, and immersive art.

FY2026 TechLeaders: Critical Emerging Technologies Exchange is sponsored by U.S. Department of State, Bureau of Educational and Cultural Affairs (ECA). This program strengthens America's technological edge and industry dominance by promoting U.S. leadership in Artificial Intelligence (AI), Space Technology, Biotechnology/Health Technology, Supply Chain/Cold Chain Technology, and Agricultural Technology (AgriTech). It engages foreign participants from various regions through intensive placements in the United States, where they collaborate with U.S.-based mentors and companies to develop actionable solutions in critical technology sectors.

AI Upskill Accelerator Pilot Program is sponsored by U.S. Department of Commerce's Economic Development Administration (EDA). This pilot program supports the design and implementation of artificial intelligence (AI) workforce training, helping to train workers and grow industries that are integral to regional economies. It is designed to support innovative, future-oriented workforce development models that can scale, adapt, and become self-sustaining as AI continues to evolve.

Leading Edge Acceleration Projects in Health Information Technology (LEAP in Health IT) (NAP-AX-22-001) - Special Emphasis Notice: Develop innovative ways to improve healthcare-data quality to support responsible development of artificial intelligence (AI) tools in healthcare. is sponsored by U.S. Department of Health and Human Services (HHS), Office of the National Coordinator for Health Information Technology (ONC). This funding opportunity seeks to develop innovative ways to evaluate and improve the quality of healthcare data used by artificial intelligence (AI) tools in healthcare. It also aims to accelerate the adoption of health IT in behavioral health settings.

Tech Innovation Lab is sponsored by U.S. Department of State (U.S. Embassy & Consulate in Morocco). This national program equips participants in Moroccan cities with practical skills to use American technology and business practices, including artificial intelligence (AI), to solve real-world challenges in priority sectors such as agriculture, fisheries, logistics, tourism, an…

Rehabilitation Engineering Research Centers (RERC) Program: AI-Driven Assistive and Rehabilitation Technologies is sponsored by Administration for Community Living (ACL), Department of Health and Human Services (HHS). This program supports research, development, and evaluation of Artificial Intelligence (AI)-driven assistive and rehabilitation technologies that enhance independence, participation, and quality of life for people with disabilities.

Rehabilitation Engineering Research Centers (RERC) Program is sponsored by National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR), Administration for Community Living (ACL). The RERC program aims to improve the effectiveness of services authorized under the Rehabilitation Act by conducting advanced engineering research and development of innovative technologies that address rehabilitation problems or remove environmental barriers. This specific RERC focuses on Artificial Intelligence (AI)-driven assistive and rehabilitation technologies to enhance independence, participation, and quality of life for people with disabilities.

FY 2026 U.S. Youth Ambassadors Program Grant is sponsored by U.S. Department of State, Bureau of Educational and Cultural Affairs (ECA). This program strengthens global leadership, promotes mutual understanding between nations, and empowers young leaders through immersive cultural exchange experiences focused on leadership development, civic engagement, community service, and the responsible use of artificial intelligence (AI). It supports international youth leadership exchange initiatives, with specific mention of Europe as a potential region for youth ambassadors.

Department of the Navy (DON) SBIR/STTR FY-26 Release 3 is sponsored by Office of Naval Research (ONR). The DON SBIR/STTR program seeks innovative solutions for naval needs in over 30 science and technology areas, including maritime engineering, autonomous systems, cybersecurity, and AI/ML exploitation, with a strong focus on warfighter deployment and Fleet modernization.

Generative AI Training for Workers is sponsored by Sur Futuro (under International Development Research Centre (IDRC) FutureWORKS initiative). Sur Futuro is inviting proposals to design and implement a pilot training program on generative artificial intelligence (AI) for disadvantaged workers across Latin America and the Caribbean under the International Development Research Centre (IDRC) FutureWORKS initiative.

H-1B One Workforce Grant Program is sponsored by U.S. Department of Labor (DOL). This program provides grant funds to encourage states and economic regions to work with industry stakeholders to develop workforce strategies that train workers and jobseekers for middle- to high-skilled H-1B occupations in key industry sectors. These sectors include Information Technology (IT), advanced manufacturing, and transportation, with a focus on areas transformed by technological advancements and automation, as well as industries of the future such as artificial intelligence (AI), quantum information sciences (QIS), and biotechnology. While primarily for organizations, individuals developing training models or innovative solutions in these areas may be involved through partnerships.

Asymmetric Collaborative Counter Swarm is sponsored by Department of Defense (DoD). This topic focuses on developing and integrating distributed Artificial Intelligence (AI) technology to collaboratively control a multi-agent Group 1 or Group 2 Unmanned Aerial System (UAS) swarm to defend an area against a numerically superior attacking enemy swarm. It emphasizes individual UAS platforms collaborating to determine optimal strategies for 1 vs N scenarios and targeting clusters of enemy platforms through AI algorithms and inter-drone communication.

Manufacturing Extension Partnership (MEP) Center State Competition FY2026 Round 2 is sponsored by National Institute of Standards and Technology (NIST). This funding opportunity aims to improve U.S. industrial competitiveness by helping small and medium-sized manufacturers adopt advanced manufacturing technologies through the establishment and operation of MEP centers in various states. The grants will strengthen manufacturing ecosystems by encouraging the adoption or scale-up of advanced technologies to improve production capacity and capability, supporting supply chain integration, and developing a strong manufacturing workforce. Advanced manufacturing technologies include robotics, artificial intelligence (AI), automation, advanced materials, additive manufacturing, or biotechnology.

NIST Manufacturing Extension Partnership (MEP) Centers is sponsored by National Institute of Standards and Technology (NIST). NIST has released a Notice of Funding Opportunity (NOFO) for MEP Centers to improve U.S. industrial competitiveness by helping small and medium-sized manufacturers adopt advanced manufacturing technologies, including robotics, artificial intelligence (AI), automation, advanced materials, and additive manufacturing.

DICE: Decentralized, Interpretable, Composable, and Efficient AI is sponsored by Defense Advanced Research Projects Agency (DARPA) - Information Processing Techniques Office. The DICE program seeks to develop the theory and algorithms for decentralized coordination and local inference control to enable a scalable, adaptive, and resilient collective of heterogeneous AI agents that can autonomously execute sustained long-time-horizon missions in contes…

Interdisciplinary Transportation Law and Policy Technology Training Development is sponsored by U.S. Department of Transportation (DOT), Office of the Assistant Secretary for Research and Technology (OST-R). This cooperative agreement aims to bridge the critical knowledge gap between fast-changing transportation technologies and policymakers, lawmakers, and legal counsel. The primary objective is to research, prioritize, and provide instructional materials on rapidly developing transportation technologies, specifically artificial intelligence (AI), automated vehicles (AV), and the digital infrastructure supporting automation.

The U.S. Department of Transportation’s Office of the Assistant Secretary for Research and Technology (OST-R) is announcing a Notice of Funding Opportunity (NOFO) for the Interdisciplinary Transportation Law and Policy Technology Training Development program. This 24-month cooperative agreement aims to bridge the critical knowledge gap between fast-changing transportation technologies and our Nation's policymakers, lawmakers, and legal counsel.The primary objective of this program is to research, prioritize, and provide instructional materials on rapidly developing transportation technologies, specifically artificial intelligence (AI), automated vehicles (AV), and the digital infrastructure supporting automation. The selected applicant will be responsible for developing three distinct educational tools: a one-day training course for congressional and support staff, a one-hour Executive Briefing for busy elected leaders and policymakers, and a full-semester curriculum for law students planning to work in transportation policy. The project will culminate in regional pilot training sessions and the transfer of materials for future use. Funding Opportunity Number: LAWPOLICY-OSTR24. Assistance Listing: 20.909. Funding Instrument: CA. Category: ST. Award Amount: Up to $600K per award.

The Army DevX Autonomy Open Call for Innovative Autonomous and Unmanned Systems Solutions is a grant from the U.S. Army Applications Laboratory (AAL) that funds innovative autonomous and unmanned systems technologies ready for military fielding. The platform uses a streamlined 6-minute video-based submission process to rapidly connect vetted solutions with government stakeholders and contracting pathways. Priority areas include ground, sea, and air autonomous platforms; mission-specific sensors and communications; mission-enabling human-machine teaming; and sustainment capabilities. Typical awards range from $500,000 to $2,000,000, with no fixed ceiling. Proposals are evaluated monthly, with the program open through August 31, 2026.

The U.S. Army Applications Laboratory's DevX Autonomy Open Call solicits proposals from companies developing AI-enabled autonomous systems, robotics, and machine-learning capabilities relevant to Army missions, including perception, navigation, decision-making, and human-machine teaming. Selected performers develop and demonstrate prototypes under Other Transaction Agreements. Awards commonly fall in the $500K-$2M range. The open call accepts submissions on a rolling basis with a stated closing date of August 31, 2026.

The Army Applications Laboratory DevX Autonomy program is a continuously open solicitation seeking advanced technology solutions related to autonomy and unmanned systems for the U.S. Army. The solicitation W911NF-26-S-0040 runs from December 30, 2025 through August 31, 2026, with monthly submission cutoffs evaluated on a rolling basis. Instead of traditional written proposals, vendors submit a 6-minute video pitch describing their solution, capabilities, and readiness. Subject-matter experts assess submissions against published criteria, and approved solutions become immediately available in a repository for government-wide award consideration. The program accepts submissions in seven categories: Platforms (ground, sea, and air autonomous systems), Payloads (sensors and communications), Mission-Enabling Solutions (human-system integration and mission planning), Lethal Capabilities, Sustainment Solutions (maintenance for autonomous systems), Subcomponents (motors, sensors, controllers), and Disruptive Innovations (transformative autonomy technologies). Strong solutions can move directly into contracting pathways without further competition.

U.S. Army DevX Autonomy Open Call Solicitation for AI-Enabled Autonomous and Robotic Systems is sponsored by U.S. Army Applications Laboratory (AAL), Army Futures Command. This open call solicits proposals from companies developing AI-enabled autonomous systems, robotics, and machine-learning capabilities relevant to Army missions. This includes areas such as perception, navigation, decision-making, and human-machine teaming.

Methods to Improve the Use of Artificial Intelligence (AI) and Machine Learning (ML) in Patient-Centered Comparative Effectiveness Research (Cycle 2 2026) is sponsored by Patient-Centered Outcomes Research Institute (PCORI). This PCORI Funding Announcement (PFA) aims to fund studies that address high-priority methodological gaps in patient-centered comparative clinical effectiveness research (CER). One of the key program priorities for Cycle 2 2026 is Methods To Improve the Use of Artificial Intelligence (AI) and Machine Learning (ML) in Patient-Centered CER.

PCORI Cycle 2 2026 Methods Funding Announcement specifically prioritizes Methods to Improve the Use of Artificial Intelligence (AI) and Machine Learning (ML) in Patient-Centered Comparative Effectiveness Research (CER). The program funds studies addressing high-impact methodological gaps, with AI/ML topics including applications of AI/ML to augment or transform research methodologies or processes and approaches using AI/ML to enhance health communication. Additional priority areas include Methods to Support Use of Real-World Data in Multi-Site Patient-Centered CER and Methods to Improve Study Design. Awards provide up to $750,000 in direct costs for up to 3 years from a total program budget of $12 million. Applicants must address PCORI Foundational Expectations for Partnerships in Research, ensuring patients and stakeholders meaningfully contribute lived experience. Letter of Intent deadline is April 28, 2026, with full applications due September 1, 2026.

Pathways to Enable Secure Open-Source Ecosystems (PESOSE) is sponsored by National Science Foundation (NSF) Directorate for Geosciences (GEO). While not directly focused on climate risk, this program supports advancing Artificial Intelligence (AI) Agent Ecosystems. Research that leverages AI for climate risk assessment, environmental modeling, or developing open-source tools for environmental consulting could be relevant.

Methods to Improve the Use of Artificial Intelligence (AI) and Machine Learning (ML) in Patient-Centered Comparative Effectiveness Research (CER) Cycle 2 2026 is sponsored by Patient-Centered Outcomes Research Institute (PCORI). This funding announcement includes a dedicated track for methods to improve the use of AI and ML in patient-centered comparative effectiveness research.

Improving Methods Using AI and Machine Learning in Patient-Centered Comparative Effectiveness Research Cycle 2 2026 is sponsored by Patient-Centered Outcomes Research Institute (PCORI). This PCORI funding announcement includes a dedicated track for 'Methods to Improve the Use of Artificial Intelligence (AI) and Machine Learning (ML) in Patient-Centered Comparative Effectiveness Research (CER)'.

The Pathways to Enable Secure Open-Source Ecosystems (PESOSE) program supports the translation of open-source science and engineering-focused research products into safe and sustainable ecosystems that address national and societal challenges. Open-source tools such as software, hardware, machine learning models, languages, and data platforms are designed to be shared as they are publicly-accessible and modifiable. These tools spark innovation in critical fields as varied as artificial intelligence (AI) and cloud computing, banking, healthcare, research, education, next-gen manufacturing, mobility, and National security (including cybersecurity). PESOSE supports the creation of managing organizations for these ecosystems, ensuring strong governance, distributed development, and broad user communities across academia, industry, and government. PESOSE also supports enhancements to the safety, security, and privacy of Open-Source Ecosystems (OSE) by addressing significant vulnerabilities, both technical and socio-technical, to improve the resistance of the ecosystem against threats. This solicitation seeks three types of proposals, allowing teams to propose specific activities to:1) scope and planthe establishment of an OSE, 2)establishand expand a sustainable OSE based on a robust, promising open-source product that meets an emergent societal or national need, and 3) improve the safety, security, and privacy of an existing OSE and its products. Funding Opportunity Number: 26-506. Assistance Listing: 47.041,47.049,47.050,47.070,47.074,47.075,47.076,47.084. Funding Instrument: G. Category: ST. Award Amount: $40M total program funding.

Enhancing integrated research and healthcare in sub-Saharan Africa through digital innovation and Artificial Intelligence is sponsored by European Commission — Horizon Europe. Expected Impact: Expected Impact The actions funded under this topic should contribute to strengthening clinical human capital base in R&I, enhancing talent retention, knowledge sharing of best practices within the research and innovation landscape, accelerate integration of digital tools into health systems, expand and scale up validated innovations with tangible implementation at national and/or sub-regional levels. Applicant consortium If requested by the applicant consortia, the EDCTP Association may offer technical support for the preparation of their proposal, in particular because of the lump sum nature of the Grant Agreement. The applicant consortia may also decide to include the EDCTP Association as coordinator. In that case, the applicant consortia should contact the EDCTP Association to obtain the estimated amount of the Association’s contribution as well as any other relevant information. The EDCTP Association will timely provide the necessary information to all potential applicants. Expected Outcome: Background Digital health has the potential to reshape and enable the implementation of integrated research and healthcare delivery across sub-Saharan Africa (SSA), especially in communities that are underserved or hard to reach. With tools such as mobile health platforms, electronic health records, and the use of artificial intelligence (AI), health services can become more efficient and accessible, responding to the needs of strengthening the research and development settings in SSA. Despite the ongoing rapid advances, SSA countries are still lagging behind, and there is an increasing gap with the developed world where digital innovation and machine learning is expected to deliver significant changes to healthcare. Digital tools currently in use are fragmented, incompatible with each other, and limited in their reach. In addition, the use of AI is creating more opportunities, but there is a need to ensure future technologies are based on models that include data from SSA countries. Recent strategies, including the WHO’s Global Strategy on Digital Health (2020–2025), the African Union’s Digital Health Framework, and the Africa CDC’s Digital Transformation Strategy, call for urgent action. These frameworks emphasise the need to invest in people-focused, sustainable digital solutions that are locally informed and globally aligned. This Coordination and Support Action (CSA) focuses on addressing these disparities. It aims to bring together national governments, regional institutions, researchers, healthcare providers, and private sector partners to better coordinate efforts, share knowledge, and build the infrastructure needed to support inclusive, scalable digital health systems. By aligning with these strategic directions, this CSA promotes a shared vision: one where digital innovation strengthens local health systems rather than working in silos. The goal is not to create new technologies, but to make better use of what already exists by improving coordination, strengthening human capacity, and supporting evidence-based policies and investments that can unlock the true potential of digital health across the region. Expected Outcomes The proposals submitted under this topic should aim to deliver results contributing to at least two of the below: Scaled-up implementation of validated digital innovations at national or sub-regional level. Improved data interoperability and data harmonisation of electronic health records between different digital health systems according to international standards. Integrated comprehensive roadmap for the sustainable and scalable integration of digital health tools into clinical trials and public health systems in SSA, in line with international standards and local ethical standards, and in the context of sharing of best practices. Increased retention of skilled experts in digital health, epidemiology, bioinformatics, AI in SSA. Scope: Scope The proposals submitted under this topic s Programme areas: Horizon Europe (HORIZON), Global Challenges and European Industrial Competitiveness, Health Keywords: Artificial intelligence, Big data, Bioinformatics, Data integrity, Digital data, Epidemiology, Global health, Health data, Healthcare system, Infectious diseases, Interoperability, Technological innovation, Africa, Africa CDC, Artificial Intelligence, Data harmonization, Data interoperability, Digital health, Digital health systems, Digital innovations, EDCTP, EDCTP3, Electronic health records, Global Health, Innovation networks, Public health, Public health workforce, Skilled personnel, Sub-Saharan Africa

Improving Methods for Conducting Patient-Centered Comparative Clinical Effectiveness Research (Cycle 3 2026 Methods PFA) is sponsored by Patient-Centered Outcomes Research Institute (PCORI). PCORI is seeking to fund studies that address high-impact methodological gaps in patient-centered comparative clinical effectiveness research (CER). Research should lead to improvements in the strength and quality of evidence generated by CER studies. For Cycle 3 2026, PCORI has identified "Methods To Improve the Use of Artificial Intelligence (AI) and Machine Learning (ML) in Patient-Centered CER" as a program priority. This directly aligns with developing AI/ML models for risk prediction and stratification.

Program PurposeThe U.S. Embassy Riyadh Public Diplomacy Section is accepting applications for a cooperative agreement to run the AI Partnership & Exchange for Tech Leaders. The goal of this program is to connect rising Saudi Artificial Intelligence (AI) leaders with American experts in business, tech, and academia. This initiative helps participants build professional networks, study U.S. technology standards, and create lasting partnerships between American and Saudi institutions. Target Audience and ParticipantsThe program should be designed for Saudi nationals aged 20 to 30. Participants must be undergraduate, graduate, or post-doctoral students, or recent graduates who are studying or working in AI-related fields (such as data science, robotics, or machine learning). They must also speak fluent English and show strong leadership potential. Provide three complete budget scenarios for 12 participants, 16 participants (primary), and 20 participants.Applicants must provide budget scenarios for three participant cohort sizes:· 12 participants· 16 participants (primary scenario)· 20 participantsEach budget scenario should maintain program quality while demonstrating cost-effectiveness at different scales. Program ComponentsIn addition to the planning and preparation with the Embassy and partner organizations, the selected partner will plan and run three mandatory participant-focused phases: · Phase 1: Preparation (Virtual and In-Person) around April 1, 2027: The partner will create an online application portal and launch a recruiting campaign. They will host a virtual hackathon to help short-listed candidates design an AI project idea. Top project ideas will determine who wins a spot on the exchange trip. The partner will also train the group in leadership, project management, and cross-cultural communication before they travel. · Phase 2: U.S. Exchange (Two Weeks) in July 2027: The partner will lead a two-week summer trip to two or three U.S. cities. The trip will include visits to American tech hubs and universities, networking events, workshops at a major AI summit, and cultural activities. The partner will also match each participant with a professional mentor for three months of bi-weekly virtual career coaching after the exchange program component. Phase 3: Follow-On Summit (Saudi Arabia) on/around January 2028: Within three to six months after the trip, the partner will organize a showcase event in Saudi Arabia. Participants will present their follow-on capstone AI projects to local tech communities, government leaders, and investors. This could be adjacent to major Saudi AI summits or a USG-related event. Funding Opportunity Number: DOS-SAU-2602. Assistance Listing: 19.040. Funding Instrument: CA. Category: O. Award Amount: $150K – $250K per award.

This NOFO is the fourth issued under NTIA’s Public Wireless Supply Chain Innovation Fund (PWSCIF or Innovation Fund). Titled “Solutions for AI-Native RAN,” the goal of this NOFO is to support the development of a secure compute environment to enable or leverage native artificial intelligence (“AI”) capabilities in the Radio Access Network (RAN) that generate revenue for operators, cost savings, and innovative third-party services, and demonstrate a business case for one or more services that leverage these capabilities, accelerating commercial deployments and the export of open, interoperable, and secure equipment. Funding Opportunity Number: NTIA-PWSCIF-26-01. Assistance Listing: 11.038. Funding Instrument: G. Category: ST.

SBIR and STTR programs (aligned with Genesis Mission for AI) is sponsored by U.S. Department of Energy (DOE). This award opportunity is through DOE's Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) programs, aligned with the Genesis Mission's goals to advance American leadership in artificial intelligence (AI).

Professional Development for Agricultural Literacy (PDAL) is sponsored by USDA National Institute of Food and Agriculture (NIFA). This program supports professional development opportunities for K-14 educational professionals to increase the number of individuals trained in food and agricultural sciences. Projects should help educators integrate agricultural science concepts into curricula, introduce students to career pathways, and build connections with industry and higher education. An encouraged focus area is Artificial Intelligence (AI) as a foundational skill.

Bioremediation of Ukraine’s ecosystems contaminated by conflicts is sponsored by European Commission — Horizon Europe. Expected Outcome: The actions funded under this topic should support communities, land managers, local administrators, policy makers, and researchers to deploy solutions contributing to the goals of the EU Nature Restoration Regulation and the new EU bioeconomy strategy, through techniques aligned to the Strategy for European Life Sciences and the EU Biotech Act. Project results are expected to contribute to all of the following expected outcomes: innovative biotechnology and Nature-based Solutions (NbS) [1] are developed and made available to communities, land managers, local administrators and policy makers in Ukraine to progress towards the targets of biodiversity protection and the clean environment and zero-pollution ambition; contribution to the reconstruction, recovery, circularity and upgrading of economy and environment of Ukraine is provided through the remediation of severe ecosystems pollution - due to conflicts - and restoration of ecosystem services. Scope: The recent wars are causing severe environmental degradation across ecosystems – besides the disruption of human lives and dignity - with concentrations of contaminants affecting the quality of air, water, soil, that may be beyond the known levels. There is the urgent need to advance in the knowledge of such extreme conditions, and to develop or adapt bioremediation techniques suitable to restore the degradation of the affected environments. Proposals should: assess the level of contamination of soils in Ukraine due to past and ongoing conflicts and select the areas to be remediated within the actions funded. Include improving/adapting testing techniques, applying Earth observations and advanced tools (e.g., AI and autonomous systems) when applicable, aiming at the prioritisation and monitoring of the areas in the scope of remediation activities; develop and test innovative cost-effective biotechnology and Nature-based Solutions - including phytoremediation - for decontamination and bioremediation of soil pollution on the land and at source (including air and/or water bodies) in the conditions of contamination due to conflicts; demonstrate the developed techniques in Ukraine in the areas selected at the first point and monitor the effectiveness of the activities in scope, including increased resilience of the remediated ecosystems to climate change; evaluate potential (positive and negative) impacts on the population, especially on groups in vulnerable situations, and ensure transparent engagement with and information to stakeholders and civil society on solutions proposed; collect and provide recommendations to policymakers and EU and international relief organisations, to develop any replication actions, including in the context of the possible EU accession process, if relevant; deliver on EU international commitments and outreach, including actions directed at future EU enlargement and EU international partnerships contributing to the EU global commitments on biodiversity and climate change. Proposals should involve consortia formed in the spirit of the multi-actor approach, including land managers and administrators from Ukraine as well as researchers from local academia and research institutions. The participation of SMEs in consortia is encouraged. Proposals should make use of social sciences and humanities (SSH) to assess the impacts on the population. Proposals should collaborate with Mission Soil projects dealing with soil pollution [2] and with the project funded under the topic HORIZON-MISS-2026-05-SOIL-03: Enabling user-centred and open innovation initiatives to enhance soil health in Ukraine, as well as with the Mission Soil knowledge repository SoilWise and with the EU Soil Observatory (EUSO). Efforts should be made to ensure that the data produced in the context of this topic are FAIR (Findable, Accessible, Interoperable and Re-usable) and compatible with the European Open Science Cloud (EOSC). International cooperation is strongly encouraged. n Programme areas: Horizon Europe (HORIZON), Global Challenges and European Industrial Competitiveness, Food, Bioeconomy Natural Resources, Agriculture and Environment, Bio-based Innovation Systems in the EU Bioeconomy Keywords: Biodiversity conservation, Biodiversity, conservation biology, conservation genetics, Biological sciences, Bioremediation, diagnostic biotechnologies (DNA chips and biosensing devices) in environmental management, Environmental biotechnology, Environmental sciences, Geochemistry and geophysics, Geology, Habitat and species restoration and rehabilitation, Water resources, Bioremediation, Conflict, Contamination, EOSC, EU Soil Observatory (EUSO)., EU enlargement, EU international partnerships, Earth observations, European Open Science Cloud, Life Sciences Strategy, Mission Soil, Nature Restoration Regulation, Restoration, SME, SoilWise, Ukraine, biotechnology, clean environment, land managers, phytoremediation, replication, vulnerable groups, zero-pollution

Department of War SBIR/STTR Broad Agency Announcement – DARPA Topics (e.g., SPEED DIAL STTR DPA26TZ05-DV003) is sponsored by Defense Advanced Research Projects Agency. Multiple open topics focused on cutting-edge AI, including scalable platforms for AI-driven algorithm discovery and integration (SPEED DIAL), semantic communications, autonomous systems, and related defense-relevant AI/ML technologies.

Small Business Innovation Research (SBIR) Program (DoD) is sponsored by Department of Defense (DoD). The DoD SBIR program invests in small business technology for research and development related to U. S. government needs. This can include technologies relevant to autonomous systems and their security, particularly given the DoD's focus on autonomy and AI systems.

Examining the Impact of Artificial Intelligence (AI) on Healthcare Safety is sponsored by National Institutes of Health (NIH). This program supports healthcare safety by determining whether and how certain breakthrough uses of Artificial Intelligence (AI) systems can affect patient safety, and how AI systems can be safely implemented and used.

Postdoctoral Research Fellowships in Biology (PRFB) at the Intersection of Artificial Intelligence and Biological Sciences to Strengthen and Safeguard Biotechnology Innovations (NSF 26-504) is sponsored by National Science Foundation (NSF) Directorate for Biological Sciences (BIO). This fellowship supports postdoctoral research and training at the intersection of Artificial Intelligence (AI) and Biological Sciences, aiming to develop expertise in both areas to advance biotechnology and bio-system design.

DARPA Biological Technologies Office (BTO) Programs (BAA HR001126S0003) is sponsored by Defense Advanced Research Projects Agency (DARPA). DARPA's BTO is soliciting proposals for innovative research that leverages biological properties and processes to advance national security, including significant advancements in artificial intelligence (AI) and machine learning (ML) to create new opportunities for transformativ…

Biological Technologies Broad Agency Announcement (HR001126S0003) is sponsored by Defense Advanced Research Projects Agency (DARPA) Biological Technologies Office (BTO). DARPA BTO is soliciting proposals that leverage biological properties and processes to revolutionize the ability to protect the nation's warfighters. This includes harnessing advances in artificial intelligence (AI) and machine learning (ML) to create new opportunities for transformative science across the biological spectrum. Specific interests include discovering interventions that utilize biotechnology, biochemistry, molecular biology, microbiology, neuroscience, psychology, cognitive science, social and behavioral science, and related disciplines to assess and optimize human performance and teaming.

Biological Technologies Office Broad Agency Announcement (HR001126S0003) is sponsored by Defense Advanced Research Projects Agency (DARPA) Biological Technologies Office (BTO). This BAA solicits innovative research proposals at the intersection of biology with engineering and the physical and computer sciences, with a particular interest in groundbreaking applications of artificial intelligence (AI), machine learning (ML), biotechnology, and bio-inspir…

AI Forge Program: University Research Capabilities for Artificial Intelligence (AI) Strategic Thrusts is sponsored by Defense Advanced Research Projects Agency (DARPA). The AI Forge Program seeks to identify and leverage the AI capabilities and research interests of U. S. universities to conduct high-impact, fast-paced, university-led, fundamental AI research aimed at solving "Critical AI Challenges for National Security".

ONR Long Range Broad Agency Announcement (BAA) for Navy and Marine Corps Science & Technology (N00014-25-S-B001) is sponsored by Office of Naval Research (ONR). This broad agency announcement supports scientific research, technology development, STEM education, and innovation-focused initiatives throughout the United States, including areas related to AI and autonomy. Specific research interests in AI include machine learning; adversarial AI and autonomy; intelligent and collaborative agents; perception and understanding; autonomous systems control; and modeling, simulation, testing, verification and validation.

The Naval Research Laboratory (NRL) Long Range BAA (N00173-24-S-BA01) supports basic and applied scientific research to enhance the operational capabilities of the Navy and Marine Corps. NRL is the Navy's corporate laboratory and conducts research across a comprehensive range of science and engineering disciplines. AI and autonomous systems are specifically included as priority research areas, encompassing machine learning, computer vision, natural language processing, autonomous navigation, human-machine teaming, and intelligent decision support systems. The BAA uses a two-step process: white papers are accepted on a rolling basis through September 30, 2026, with full proposals invited only after favorable white paper review. This BAA is distinct from the ONR Long Range BAA — NRL is a separate research laboratory with its own solicitation, focused more on in-house laboratory collaboration and technology transition rather than broad academic research funding. NRL research areas also include acoustics, materials science, space science, and electronic warfare, creating opportunities for AI applications across multiple scientific domains.

Artificial Intelligence/Machine Learning for Photonics, Power & Energy, Atmospherics, and Quantum Science (under ONR Long Range Broad Agency Announcement (BAA) N00014-25-S-B001) is sponsored by Office of Naval Research (ONR). This research thrust, under the broader ONR Long Range BAA, focuses on the application of Artificial Intelligence (AI) and Machine Learning (ML) in various domains relevant to naval science and technology.

Biological Technologies Office (BTO) Broad Agency Announcement (HR001126S0003) is sponsored by Defense Advanced Research Projects Agency (DARPA). This BAA seeks transformative research leveraging biological processes and technologies to enhance warfighter protection and performance. It is particularly interested in groundbreaking applications of artificial intelligence (AI), machine learning (ML), biotechnology, and bio-inspired engineering.

The Office of Naval Research Long Range Broad Agency Announcement (BAA N00014-25-S-B001) is ONR's primary solicitation for basic and applied research proposals, accepting submissions on a rolling basis through September 30, 2026. ONR's AI priorities center on autonomous maritime systems, human-machine teaming, and machine learning for sensor fusion. Individual awards typically range from $100,000 for exploratory research to $2 million for larger applied programs. The BAA covers all ONR science and technology departments, with AI-related research falling under key areas including ocean battlespace sensing, command-decision-superiority, and warfighter performance. This is the broadest entry point for academic researchers and companies seeking ONR funding for AI and autonomous systems research, complementing the more targeted Young Investigator Program and MURI solicitations.

This Notice of Funding Opportunity (NOFO) invites a single cooperative agreement application for the Resource Center for the Cardiovascular Repository for Type 1 Diabetes (CaRe-T1D). The purpose of CaRe-T1D is to support innovative, discovery and mechanistic research through the study of human cardiovascular (CV) tissue. This research seeks to better understand cardiovascular disease (CVD) in type 1 diabetes, highlight differences compared to type 2 diabetes, and ultimately guide the development of therapies to treat this major cause of morbidity and mortality for individuals with type 1 diabetes. To achieve these goals, the Resource Center will expand the CaRe-T1D biorepository of human CV tissue, further develop the data commons for data sharing and for artificial intelligence (AI) tools, coordinate the research activities of the investigative teams in the CaRe-T1D consortium, and make CaRe-T1D resources accessible to the broader research community. This NOFO is associated with the Special Diabetes Program (https://www.niddk.nih.gov/about-niddk/research-areas/diabetes/type-1-diabetes-special-statutory-funding-program/about-special-diabetes-program) which funds research on the prevention, treatment, and cure of type 1 diabetes and its complications, including unique, innovative, and collaborative research consortia and clinical trials networks.This is a Notice of Funding Opportunity (NOFO) for a Single Source that will invite application(s) from eligible organization(s) to apply. Please see Section III. Eligibility for additional information. In accordance with NIH standard peer-review processes, the application(s) will be peer-reviewed, and only meritorious application(s) will be considered for funding. Funding Opportunity Number: RFA-DK-27-109. Assistance Listing: 93.233,93.310,93.837,93.838,93.839,93.840,93.847. Funding Instrument: CA. Category: HL. Award Amount: Up to $1.5M per award.

Digital Europe Programme calls to support Artificial Intelligence (AI) in health, digital health, digital skills, and online safety is sponsored by European Commission. This program launched several calls to support AI in health, digital health, digital skills, and online safety. Part of the funding will also bolster the adoption and deployment of transformative digital technologies across Europe.

Digital Europe Programme calls for proposals to support artificial intelligence (AI) in health, digital health, digital skills, and online safety is sponsored by European Commission (Digital Europe Programme). Seven calls are open to support AI innovation in health, digital health services, advanced digital skills training, and online safety, bolstering the adoption and deployment of transformative digital technologies across Europe.

Digital Europe Programme calls for AI in health, digital health, digital skills, and online safety is sponsored by European Commission. Seven Digital Europe Programme calls have opened to support artificial intelligence (AI) in health, digital health, digital skills, and online safety. Part of the funding will also bolster the adoption and deployment of transformative digital technologies across Europe.

Digital Europe Programme calls (AI in health, digital health, digital skills, online safety) is sponsored by European Commission. Seven Digital Europe Programme calls are open to support artificial intelligence (AI) in health, digital health, digital skills, and online safety. The funding aims to bolster the adoption and deployment of transformative digital technologies across Europe.

Novel Experiential Technologies Assisting Individual Learning (NExT AI) Hubs (P20 Clinical Trial Optional) is sponsored by Access to Capital Clearinghouse. This funding opportunity invites exploratory grant applications to address the impact of Artificial Intelligence (AI) technologies on developmental outcomes in children diagnosed with or at risk for developing a specific learning disability (SLD) impacting reading, writing, and mathematics.

Novel Experiential Technologies Assisting Individual Learning (NExT AI) Hubs (P20 Clinical Trial Optional) is sponsored by National Institutes of Health (NIH). This Notice of Funding Opportunity (NOFO) invites exploratory grant applications to address the impact of Artificial Intelligence (AI) technologies on developmental outcomes in children diagnosed with or at risk for developing a specific learning disability (SLD) impacting readi…

Novel Experiential Technologies Assisting Individual Learning (NExT AI) Hubs is sponsored by National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH). This funding opportunity invites exploratory grant applications to address the impact of Artificial Intelligence (AI) technologies on developmental outcomes in children diagnosed with or at risk for developing a specific learning disability (SLD) impacting reading, writing, and …

Novel Experiential Technologies Assisting Individual Learning (NExT AI) Hubs (P20 Clinical Trial Optional) is sponsored by Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH). This Notice of Funding Opportunity (NOFO) invites exploratory grant applications for Novel Experiential Technologies Assisting Individual learning Hubs (NExT AI Hubs) to address the impact of Artificial Intelligence (AI) technologies on developmental outcomes in children diagnos…

This Notice of Funding Opportunity (NOFO) invites exploratory grant applications, hereafter referred to as the Novel Experiential Technologies Assisting Individual learning Hubs or NExT AI Hubs (formerly Learning Disabilities Innovation Hubs), to address the impact of Artificial Intelligence (AI) technologies on developmental outcomes in children diagnosed with or at risk for developing a specific learning disability (SLD) impacting reading, writing, and mathematics. NExT AI Hubs include a single Research Project and a Leadership Core that support the goals and aims of the Hub. This NOFO seeks to serve as a catalyst to 1) speed the maturation of nascent/novel, high-impact, high-risk research that advances understanding of the role AI technology plays in supporting, improving, or limiting the learning, cognitive, and socio-emotional needs of children at risk for or diagnosed with SLDs, 2) build an evidence base for the SLD community to inform policy or practice, and 3) provide project-embedded, career-enhancing research and professional development opportunities to support the next generation of transdisciplinary SLD scientists. This initiative provides opportunities to support planning and building a body of research and corresponding intellectual infrastructure to enable NExT AI investigators to compete for large research and program project opportunities in the future.This NOFO aims to integrate research topics that are of relevance to various research programs at the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) and align with the NICHD Strategic Plan. The NOFO intends to build cross-programmatic, transdisciplinary and cross-cutting scientific research, and critically nurture the development of early career investigators capable of conducting this research. Funding Opportunity Number: RFA-HD-27-006. Assistance Listing: 93.865. Funding Instrument: G. Category: HL. Award Amount: $1.6M total program funding.

Development and Testing of a Multi-use Frameworks Playbook for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (U01 Clinical Trial Not Allowed) is sponsored by U.S. Department of Health and Human Services; National Institutes of Health. This NOFO solicits applications for the design, development, and preliminary validation of robust frameworks for the application of multimodal-artificial intelligence (AI) models for clinical use, as part of the PRIMED-AI Program.

The overarching goal of this notice of funding opportunity (NOFO) and its companion opportunities is to establish the Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) Program to support development of innovative, reliable, cost-effective, and sustainable multimodal AI-based clinical decision support (CDS) tools. PRIMED-AI CDS tools are based on the integration of clinical imaging with other types of multimodal health data to enhance care for patients with a wide range of health conditions. The PRIMED-AI Program seeks to catalyze the adoption of AI-based CDS tools into clinical workflows to enable novel personalized medicine strategies that address significant health challenges. The purpose of this NOFO is to solicit applications for the design, development, and preliminary validation of robust frameworks for the application of multimodal-artificial intelligence (AI) models for clinical use. Frameworks developed through these awards would populate a "playbook", defined as a collection of actionable guidelines, standardized protocols, and/or standard operating procedures (SOPs) for reliable and effective development and deployment of multimodal AI tools. It is expected that the frameworks delineated in this playbook will directly address PRIMED-AI objectives and needs, while also remaining flexible enough to enable sufficient extensibility and interoperability for use across a broad spectrum of multimodal biomedical AI applications, both internal and external to the PRIMED-AI Program. Funding Opportunity Number: RFA-RM-27-011. Assistance Listing: 93.310. Funding Instrument: CA. Category: HL. Award Amount: Up to $300K per award.

Machine Learning and Artificial Intelligence (AI) are enabling extraordinary scientific breakthroughs in fields ranging from protein folding, natural language processing, drug synthesis, and recommender systems to the discovery of novel engineering materials and products. These achievements lie at the confluence of mathematics, statistics, engineering and computer science, yet a clear explanation of the remarkable power and also the limitations of such AI systems has eluded scientists from all disciplines. Critical foundational gaps remain that, if not properly addressed, will soon limit advances in machine learning, curbing progress in artificial intelligence. It appears increasingly unlikely that these critical gaps can be surmounted with increased computational power and experimentation alone. Deeper mathematical understanding is essential to ensuring that AI can be harnessed to meet the future needs of society and enable broad scientific discovery, while forestalling the unintended consequences of a disruptive technology. The National Science Foundation Directorates for Mathematical and Physical Sciences (MPS), Computer and Information Science and Engineering (CISE), Engineering (ENG), and Social, Behavioral and Economic Sciences (SBE) will jointly sponsor research collaborations consisting of mathematicians, statisticians, computer scientists, engineers, and social and behavioral scientists focused on the mathematical and theoretical foundations of AI. Research activities should focus on the most challenging mathematical and theoretical questions aimed at understanding the capabilities, limitations, and emerging properties of AI methods as well as the development of novel, and mathematically grounded, design and analysis principles for the current and next generation of AI approaches. Specific research goals include: establishing a fundamental mathematical understanding of thefactors determining the capabilities and limitations of current and emerging generations of AI systems, including, but not limited to, foundation models, generative models, deep learning, statistical learning, federated learning, and other evolving paradigms; the development of mathematically grounded design and analysis principles for the current and next generations of AI systems; rigorous approaches for characterizing and validating machine learning algorithms and their predictions; research enabling provably reliable, translational, general-purpose AI systems and algorithms; encouragement of new collaborations in this interdisciplinary research community and between institutions. The overall goal is to establish innovative and principled design and analysis approaches for AI technology using creative yet theoretically grounded mathematical and statistical frameworks, yielding explainable and interpretable models that can enable sustainable, socially responsible, and trustworthy AI. Funding Opportunity Number: 24-569. Assistance Listing: 47.041,47.049,47.070,47.075. Funding Instrument: G. Category: ST. Award Amount: $500K – $1.5M per award.

The overarching goal of this notice of funding opportunity (NOFO) and its companion opportunities is to establish the Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) Program to support development of innovative, reliable, cost-effective, and sustainable multimodal AI-based clinical decision support (CDS) tools. PRIMED-AI CDS tools are based on the integration of clinical imaging with other types of multimodal health data to enhance care for patients with a wide range of health conditions. The PRIMED-AI Program seeks to catalyze the adoption of AI-based CDS tools into clinical workflows to enable novel personalized medicine strategies that address significant health challenges.The purpose of this NOFO is to catalyze the translation of Artificial Intelligence (AI)-enabled, image-centered, multimodal CDS tools, developed as Software as a Medical Device, from training and testing of prototypes towards clinical applications that address unmet health challenges in precision medicine. These projects are expected to have high potential for demonstrable, positive impact on patient outcomes and/or healthcare processes. Funding Opportunity Number: RFA-RM-27-013. Assistance Listing: 93.310. Funding Instrument: CA. Category: HL.

The overarching goal of this notice of funding opportunity (NOFO) and its companion opportunities is to establish the Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) Program to support development of innovative, reliable, cost-effective, and sustainable multimodal AI-based clinical decision support (CDS) tools. PRIMED-AI CDS tools are based on the integration of clinical imaging with other types of multimodal health data to enhance care for patients with a wide range of health conditions. The PRIMED-AI Program seeks to catalyze the adoption of AI-based CDS tools into clinical workflows to enable novel personalized medicine strategies that address significant health challenges. The purpose of this Notice of Funding Opportunity (NOFO) is to catalyze the development and testing of Artificial Intelligence (AI)-enabled, image-centered, multimodal Clinical Decision Support (CDS) tools, developed in pursuance as Software as a Medical Device (SaMD). These projects are expected to have high potential for demonstrable, positive impact on patient outcomes and/or healthcare processes. Funding Opportunity Number: RFA-RM-27-012. Assistance Listing: 93.310. Funding Instrument: CA. Category: HL.

The European Innovation Council Pathfinder Challenge on Physical AI funds visionary research in embedded intelligence for autonomous robotics at the earliest technology readiness levels (TRL 1-3). Awards of up to EUR 4 million support projects exploring how AI can be physically embedded into robotic systems to achieve truly autonomous behavior in unstructured real-world environments. The challenge focuses on embodied intelligence — AI systems that learn and adapt through physical interaction with their environment rather than purely through data-driven approaches. Unlike most EU programmes, the EIC Pathfinder does not require large consortia, making it accessible to individual researchers, small university teams, and startups pursuing breakthrough concepts. This ARPA-style programme emphasizes high-risk, high-reward research that could fundamentally reshape autonomous robotics. The deadline is October 28, 2026. This is distinct from the EIC Pathfinder DeepRAP Challenge (focused on reasoning, abstraction, and planning in cognitive AI) and from Horizon Europe robotics calls that target higher TRL levels.

The DARPA Information Innovation Office (I2O) FY2026 Office-Wide Broad Agency Announcement (BAA HR001126S0001) is the widest entry point for AI researchers with breakthrough ideas that do not fit a specific named DARPA program. I2O is DARPA's home for artificial intelligence, cybersecurity, autonomy, and information science research. Released November 28, 2025, this BAA solicits innovative research concepts across the full spectrum of AI and information technology, including machine learning, autonomous systems, cybersecurity, natural language processing, computer vision, human-AI teaming, and novel computing architectures. Proposal Abstracts are due by November 1, 2026, and Full Proposals by November 30, 2026. This BAA is distinct from other DARPA office-wide BAAs (STO, TTO, BTO, DSO) and specifically targets the information and AI research space. It enables researchers from academia, industry, and small businesses to propose bold, high-risk high-reward ideas directly to DARPA without waiting for a named program solicitation.

Small Business Innovation Research / Small Business Technology Transfer Phase I, Phase II, Fast-Track Programs SBIR/STTR: Developing Deep Technologies that Advance U.S. Competitiveness and Security - Artificial Intelligence (AI) is sponsored by National Science Foundation (NSF). This SBIR/STTR topic focuses on cutting-edge technologies in deep learning-based AI systems and AI-based hardware. It emphasizes next-generation AI technologies that are safe, reliable, fair, robust against adversaries, privacy-preserving, and efficient.

Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) is sponsored by U.S. National Science Foundation, Directorate for Computer and Information Science and Engineering (CISE). This program aims to increase the value derived from existing scientific datasets by leveraging novel methods and artificial intelligence (AI) to unlock new AI-driven insights and enable interdisciplinary research.

Artificial Intelligence (AI) - NSF Small Business Innovation Research (SBIR)/Small Business Technology Transfer (STTR) is sponsored by U.S. National Science Foundation (NSF). This program focuses on cutting-edge technologies in deep learning-based AI systems and AI-based hardware, emphasizing next-generation AI technologies that are safe, reliable, fair, robust, privacy-preserving, and efficient. It explicitly includes Computer Vision Based AI Technologies. Small businesses can receive non-dilutive funding for high-risk, high-impact technologies with strong commercial potential.

Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) (NSF 26-512) is sponsored by U.S. National Science Foundation Directorate for Computer and Information Science and Engineering, Office of Advanced Cyberinfrastructure, Division of Computer and Network Systems, Directorate for Biological Sciences, Directorate for Engineering, Directorate for Geosciences, Directorate for Mathematical and Physical Sciences, Directorate for Technology, Innovation and Partnerships. This program will advance scientific community datasets to enable scientific discovery and innovation using artificial intelligence (AI) and other methods.

Small Business Innovation Research (SBIR) - Artificial Intelligence (AI) Topic is sponsored by National Science Foundation (NSF). This NSF SBIR topic focuses on cutting-edge technologies in deep learning-based AI systems and AI-based hardware. It emphasizes next-generation AI technologies that are safe, reliable, fair, robust, privacy-preserving, and efficient. This includes AI for medical professionals and smart/secure edge devices.

The European Innovation Council (EIC) Accelerator is the EU's flagship blended-finance program for high-potential deep tech startups and SMEs, with 2026 cut-off dates on 7 January, 4 March, 6 May, 8 July, 2 September, and 4 November. The Accelerator funds breakthrough innovations at Technology Readiness Levels 6-8, with AI as one of the explicit Strategic Challenges of the program (alongside semiconductors, quantum, biotech, and cleantech). Funded AI companies have included generative AI startups, AI-enabled medical devices, robotics platforms, autonomous systems, and AI for industry. Each funded company receives up to EUR 2.5 million as a non-dilutive grant for innovation activities plus EUR 1-10 million as direct equity investment from the EIC Fund (optional). Total 2026 budget is EUR 634 million split into EUR 220 million for Strategic Challenges (which include AI and digital tech) and EUR 414 million for the Open call. Strong fit for European AI startups building deep-tech products with global market potential.

This program will advance scientific community datasets to enable scientific discovery and innovation using artificial intelligence (AI) and other methods. Its goal is to increase the value that can be derived from existing scientific datasets by leveraging novel methods and artificial intelligence (AI). This will unlock new AI-driven insights. It can enable interdisciplinary research. It also enables investigations outside of the original motivation for data collection and analysis. The program seeks to 1) apply AI-based capabilities to feature extraction and metadata generation, and the integration of multiple datasets. 2) Develop robust data pipelines necessary for automated analysis of existing datasets and similar use-cases by AI tools and systems. 3) Augment and/or harmonize existing datasets to better enable use by AI data pipelines and automated analysis. Proposals should address dataset security and integrity. Governance and the process for scientific communities to contribute to the datasets should also be addressed. Proposals are encouraged to leverage existing resources. These may includeNSF data platforms, the NSF Integrated Data Systems and Services program, the NSF-led National AI Research Resource, the Genesis Mission platform, or other national infrastructure. NSF is open to exploring partnerships with philanthropy, private industry, or the non-profit sector to support additional proposals or collaborative opportunitiesthat will advance AI-driven scientific discovery through unlocking the value of high-impact scientific datasets. Expanding Participation in STEM, NSF Priorities, and Gold Standard Science: NSF prioritizes cutting-edge discovery science and engineering research, advancing technology and innovation, and creating opportunities for all Americans. NSF has established priorities set forth by Congress, the administration and the NSF director to promoteNSF's mission. Proposers should review the list ofNSF prioritiesand are encouraged to align their proposals with them, where appropriate. NSF also expects the highest standards of scientific rigor, integrity and adherence tenets ofGoldStandard Sciencein proposals, as appropriate for the field of science and research modality. Funding Opportunity Number: 26-512. Assistance Listing: 47.041,47.049,47.050,47.070,47.074,47.084. Funding Instrument: G. Category: ST. Award Amount: $100M total program funding.

This program will advance scientific community datasets to enable scientific discovery and innovation using artificial intelligence (AI) and other methods. Its goal is to increase the value that can be derived from existing scientific datasets by leveraging novel methods and artificial intelligence (AI). This will unlock new AI-driven insights. It can enable interdisciplinary research. It also enables investigations outside of the original motivation for data collection and analysis.The program seeks to 1) apply AI-based capabilities to feature extraction and metadata generation, and the integration of multiple datasets. 2) Develop robust data pipelines necessary for automated analysis of existing datasets and similar use-cases by AI tools and systems. 3) Augment and/or harmonize existing datasets to better enable use by AI data pipelines and automated analysis. Proposals should address dataset security and integrity. Governance and the process for scientific communities to contribute to the datasets should also be addressed. Proposals are encouraged to leverage existing resources. These may include NSF data platforms, the NSF Integrated Data Systems and Services program, the NSF-led National AI Research Resource, the Genesis Mission platform, or other national infrastructure.NSF is open to exploring partnerships with philanthropy, private industry, or the non-profit sector to support additional proposals or collaborative opportunities that will advance AI-driven scientific discovery through unlocking the value of high-impact scientific datasets.Expanding Participation in STEM, NSF Priorities, and Gold Standard Science:NSF prioritizes cutting-edge discovery science and engineering research, advancing technology and innovation, and creating opportunities for all Americans. NSF has established priorities set forth by Congress, the administration and the NSF director to promote NSF's mission. Proposers should review the list of NSF priorities and are encouraged to align their proposals with them, where appropriate. NSF also expects the highest standards of scientific rigor, integrity and adherence tenets of Gold Standard Science in proposals, as appropriate for the field of science and research modality. Funding Opportunity Number: 26-512. Assistance Listing: 47.041,47.049,47.050,47.070,47.074,47.084. Funding Instrument: G. Category: ST. Award Amount: $100M total program funding.

DURIP is the quiet infrastructure grant behind a large share of university AI research that DoD later builds on, and it is frequently overlooked because it funds equipment rather than people. Under opportunity W911NF26S0095, the FY2027 competition provides funds for accredited U.S. institutions of higher education to acquire major research equipment and instrumentation supporting defense-relevant research and the education of scientists and engineers. For AI groups the relevant use is direct: GPU and accelerator clusters, high-performance computing and storage for large model training, robotic platforms and manipulators, sensor and perception rigs, autonomous ground and air testbeds, and instrumented environments for human-machine teaming experiments. Awards are one year and range from $50,000 to $3,000,000 against roughly $28 million in total FY2027 funding, which is about $6 million below the FY2026 level - a tightening that makes the fit between the requested instrument and an existing DoD-relevant research portfolio more decisive than in past cycles. The structural point applicants often miss is that DURIP is not a standalone equipment purchase program: proposals are evaluated on how the instrumentation enables defense-relevant research, so the strongest submissions are anchored to active or planned ARO, ONR or AFOSR research and are written by PIs with a visible track record in the sponsoring service's portfolio. Eligibility is narrower than most DoD basic research announcements - accredited U.S. institutions of higher education with degree-granting programs in science, mathematics or engineering, explicitly excluding for-profit educational institutions, with University Affiliated Research Centers also permitted to apply. There is no cost-share requirement, but institutional commitment to house, maintain and staff the instrument is a practical evaluation factor. Full proposals are due November 6, 2026 at 5:00 PM Eastern, and because the three service research offices issue parallel solicitations under the same program, applicants should read the specific service announcement matching their research area rather than a generic DURIP summary.

The Farm Robotics Challenge is a student competition rather than a research grant, and the distinction determines who should spend time on it: the money flows to teams of enrolled students working under a faculty or teacher advisor, not to principal investigators, and the deliverable is a working robotic system demonstrated in an agricultural setting rather than a paper. Organized by UC ANR Innovate with the NSF-USDA AI Institute for Next Generation Food Systems and backed by California's Jobs First initiative, the challenge asks teams to build autonomous systems or robotic attachments addressing real production tasks - planting, weeding, harvesting, pest management, field mapping and data collection. Total prize funding exceeds $100,000, anchored by a $50,000 Grand Prize presented by The Reservoir; in a recent cycle that grand prize was structured as a SAFE investment rather than a straight cash award, which matters because it implies an expectation that the winning team may incorporate, and teams uninterested in commercialization should confirm the current cycle's award instrument before entering. Three divisions keep the competition tractable across education levels: Division I for four-year universities with a cap of 50 percent graduate students per team, Division II for community colleges and trade schools, and Division III for middle and high school teams in grades 7 through 12. Every team requires an advisor, typically faculty, staff, a graduate student or a teacher. The cycle runs long, which is the main planning consideration - pre-registration opens August 3, 2026, project proposals are due November 13, 2026, final projects are due May 2, 2027 and awards are presented in June 2027, meaning roughly nine months of sustained student effort across two academic terms. Scale is real: a recent edition drew 96 teams from 13 countries. This is a good fit for agricultural engineering, robotics and CS programs seeking a structured capstone with industry exposure, and a poor fit for anyone looking for research funding on a normal grant timeline.

The NSF FINDERS FOUNDRY program supports collaboration among K-12 educators, technologists, and researchers to develop innovative solutions to persistent challenges in learning and workforce development. These challenges are identified by K-12 students, families, and educators. The program aims to create and scale evidence-based practices, tools, and technologies that improve learning outcomes and prepare students for a digital, Artificial Intelligence (AI)-driven future. A key focus is early exposure to AI to build curiosity, understanding, and readiness for future careers. The program encourages partnerships across sectors - schools, universities, industry, government, and nonprofits - to co-design responsive, technology-based solutions. NSF FINDERS FOUNDRY program includes two phases: Planning and Development. Planning proposals help teams explore one of several focus areas. Only teams awarded Planning grants may submit Development proposals, which support the growth and implementation of promising ideas. The program aligns with national priorities, including the Executive Order 14277, “Advancing Artificial Intelligence Education for American Youth” (April 23, 2025), and the CHIPS and Science Act of 2022, Public Law 117-167, Sections 10381-10383 and 10395. Funding Opportunity Number: 26-507. Assistance Listing: 47.076,47.084. Funding Instrument: G. Category: ST. Award Amount: $8.5M total program funding.

Examining the Impact of Artificial Intelligence (AI) on Healthcare Safety (R18 PA-24-261 for Evaluating Deployed Clinical AI Systems) is sponsored by Agency for Healthcare Research and Quality (AHRQ). Funds research to determine (1) whether and how breakthrough uses of AI systems affect patient safety in real clinical environments and (2) how AI systems can be safely implemented and used in healthcare delivery. This NOFO explicitly does not support development of new AI systems but rather the rigorous post-deployment evaluation of AI in live clinical settings. Topics can include AI-driven diagnostic safety and equity impacts of clinical AI, which could be applied to breast cancer imaging AI.