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Currently focused on US federal, state, and foundation grants.
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Currently focused on US federal, state, and foundation grants.
7 matching grants
Accelerating Physical AI: Embodied Intelligence for the Next Frontier of AI-Powered Robotics is sponsored by European Commission — Horizon Europe. Expected Impact: This Challenge will support the ambitions of the AI Act, Apply AI Strategy. The AI powered robotics models developed under this Challenge are expected to comply with the EU concept for Trustworthy AI and the relevant ethical principles with due attention paid to data quality, transparency and accountability, privacy, security and safety. In the medium to longer term, it is expected to reduce European dependencies and support end users in leveraging advances in AI to enhance their products and develop new capabilities that will contribute to: Strengthened European leadership in physical AI, reducing reliance on non-European technology providers, and Contribution to EU priorities in sustainability, resilience, digital transformation, and industrial competitiveness. Objective: This is a two-stage Challenge competition of which the ultimate ambition is to deliver scalable prototypes, validated in a relevant real-world environment. Solutions supported under the Challenge are expected to demonstrate both the novelty and applicability of the proposed Physical AI technology, while mitigating associated risks. Applicant to Stage 1 must also have a clear outlook on the potential longer-term impact(s). Stage1- Solution validation and benchmarking Applicants with disruptive physical AI systems that have achieved a prototype (i.e. at least TRL 4) will be invited to: Refine and validate the prototype in a relevant environment to demonstrate the core innovation (e.g., new perception (multimodal), actuation, continual learning, or autonomy capability, etc.). in the end use case Develop a methodology for performance assessment Assess ethical, data governance and scalability considerations Identify challenges to integration such as safety, certification or scalability with view to identifying risks and exploring options for overcoming barriers for adoption including in cases where products’ risks are not covered by the AI Act Conduct initial performance benchmarking, and Develop an initial market analysis, business plan and model. The outputs of Stage 1 will be assessed for progress against the following milestones: Evidence of technical viability with initial performance data that benchmarks performance and disruptive potential against the state-of-the-art in at least one pilot case within the specified application area, and Clear commitment from end users and stakeholders to further develop the physical AI solution in Stage 2. To maximise impact, foster collaboration, and accelerate learning across funded teams, Progress to Stage 2 will be contingent on delivering a full proposal which will be assessed alongside the milestones achieved under Stage 1. Stage 2 - Development and user testing Applicants for Stage 2 will be expected to further develop and validate a Physical AI system through the following activities: Build and test (ensure at least two deployments loops) a robust, integrated solution capable of autonomous operation in complex or semi-structured environments (e.g., pilot deployment in real world environment, etc.) to reach TRL 6-7 Address scalability and manufacturability: show that the solution can be scaled or adapted for broader integration and deployment Conduct necessary testing, documentation, and compliance activities towards certification or regulatory approval of the adapted solution Organisation of consultation meetings/workshops with industrial end users, regulators, standard setting bodies or other relevant stakeholders to gather further needs and feedback, and Develop a roadmap to commercialisation: refine market analysis, and validate business plan including stakeholder engagement, and identification of scaling strategies At the end of Stage 2, projects will be expected to have: Delivered a robust, integrated solution capable of autonomous operation in complex or semi-structured environments i.e. capable of pilot deployment in real world environment Demonstrated reliability, adaptability, energy/reso Programme areas: Additional EIC activities, The European Innovation Council (EIC), Innovative Europe Official opportunity description and requirements excerpt: EU Funding & Tenders Portal EU Funding & Tenders Portal * Results & Innovation support * SME Self-assessment tool Home Funding Calls for proposals Accelerating Physical AI: Embodied Intelligence for the Next Frontier of AI-Powered Robotics Accelerating Physical AI: Embodied Intelligence for the Next Frontier of AI-Powered Robotics * Conditions and documents EIC Advanced Innovation Challenge (HORIZON-EIC-2026-AIC) HORIZON-EIC HORIZON EIC Grants HORIZON Lump Sum Grant [HORIZON-AG-LS] 26 February 2026 17:00:00 Brussels time This Challenge will support the ambitions of the AI Act, Apply AI Strategy. The AI powered robotics models developed under this Challenge are expected to comply with the EU concept for Trustworthy AI and the relevant ethical principles with due attention paid to data quality, transparency and accountability, privacy, security and safety. In the medium to longer term, it is expected to reduce European dependencies and support end users in leveraging advances in AI to enhance their products and develop new capabilities that will contribute to: * Strengthened European leadership in physical AI, reducing reliance on non-European technology providers, and * Contribution to EU priorities in sustainability, resilience, digital transformation, and industrial competitiveness. This is a two-stage Challenge competition of which the ultimate ambition is to deliver scalable prototypes, validated in a relevant real-world environment. Solutions supported under the Challenge are expected to demonstrate both the novelty and applicability of the proposed Physical AI technology, while mitigating associated risks. Applicant to Stage 1 must also have a clear outlook on the potential longer-term impact(s). **Stage1- Solution validation and benchmarking** Applicants with disruptive physical AI systems that have achieved a prototype (i.e. at least TRL 4) will be invited to: * Refine and validate the prototype in a relevant environment to demonstrate the core innovation (e.g., new perception (multimodal), actuation, continual learning, or autonomy capability, etc.). in the end use case * Develop a methodology for performance assessment * Assess ethical, data governance and scalability considerations * Identify challenges to integration such as safety, certification or scalability with view to identifying risks and exploring options for overcoming barriers for adoption including in cases where products’ risks are not covered by the AI Act * Conduct initial performance benchmarking, and * Develop an initial market analysis, business plan and model. The outputs of Stage 1 will be assessed for progress against the following milestones: * Evidence of technical viability with initial performance data that benchmarks performance and disruptive potential against the state-of-the-art in at least one pilot case within the specified application area, and * Clear commitment from end users Application snapshot: target deadline February 26, 2026; published funding information €12M total budget (~$13M USD) ; up to €300K per project ; ~10 grants expected; eligibility guidance Open to legal entities established in EU Member States and countries associated to Horizon Europe (including EEA/EFTA countries, and other associated third countries). Action type: HORIZON-EIC HORIZON EIC Grants. Additional conditions: "> General conditions 1. Admissibility Conditions: Proposal page limit and layout The call is open for submission by A single legal entity established in a Member State or an Associated Country (‘mono-beneficiary’) if you are a start-up, SME or research performing organisation (university, research or technology organisation, including teams, individual Principal Investigators and inventors). Larger companies (i.e. which do not qualify as SMEs) are not eligible to apply as a single legal... See the official call documentation on the F&T Portal for full eligibility criteria and participation rules. Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
DC Summer Fellowship 2026 is sponsored by Centre for the Governance of AI (GovAI). DC Summer Fellowship 2026 is sponsored by Centre for the Governance of AI (GovAI). A three-month full-time program in Washington, D. C. , for individuals seeking to launch or accelerate careers in AI governance and policy through research projects and networking. Official opportunity description and requirements excerpt: DC Summer Fellowship 2026 | GovAI Blog DC Summer Fellowship 2026 The DC Summer Fellowship is a three-month bipartisan opportunity designed to launch or accelerate impactful careers in American AI governance and policy. Participants deepen their understanding of the field, connect with a network of experts, and build their skills and professional profile, all while conducting a research project of their choice under expert guidance. The program emphasizes bipartisan engagement , rigorous analysis, and practical policy relevance, with a focus on how AI governance is shaped within the US political system. We welcome a wide range of applicants, from early-career individuals interested in entering the US AI policy field, to more experienced professionals looking to transition into emerging tech policy from adjacent fields. Applications for the DC Fellowship are now open. The deadline for applications is Sunday, March 1st, 2026 at 11:59PM ET. GovAI was founded to help decision-makers navigate the transition to a world with advanced AI. Our first research agenda, published in 2018, helped define and shape the nascent field of AI governance. Our team and affiliate community possess expertise in a wide variety of domains, including AI development best practices, risk analysis, the economics of AI, US-China relations, barriers to innovation, AI public policy, and AI progress forecasting. GovAI has alumni, affiliates, and staff with experience working in US government bodies including the National Security Council, the White House Office of Science and Technology Policy (OSTP), the Senate, Department of Commerce, and Department of Homeland Security; European government bodies including the EU AI Office and the UK AI Security Institute; for think tanks including the Center for Strategic and International Studies (CSIS), Center for Security and Emerging Technology (CSET), Center for a New American Security (CNAS), RAND, the Heritage Foundation, and the Foundation for American Innovation (FAI); top AI companies including OpenAI, Anthropic, and Google DeepMind; and universities including Yale, Stanford, and MIT. GovAI researchers have provided expert input to decision-makers in government, industry, and civil society. Our researchers have also published in top peer-reviewed journals and conferences, including Science , FAccT , and NeurIPS . Seasonal Fellows join GovAI to conduct independent research on a topic of their choice, with mentorship from leading experts in the field. Each fellow is paired with a supervisor from the GovAI team or network. They spend the first two weeks of the fellowship exploring the AI policy landscape, before settling on a research proposal with input from their supervisors. The research could result in a report, white paper, journal article, Application snapshot: target deadline March 1, 2026; published funding information $21,000; eligibility guidance Individuals (early-career or experienced professionals) with the right to work in the US. Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
DC Summer Fellowship is sponsored by Centre for the Governance of AI (GovAI). A three-month professional fellowship in Washington, D.C., focusing on AI governance and policy research with expert mentorship. Application snapshot: target deadline March 1, 2026; published funding information $21,000; eligibility guidance Early-career individuals and professionals with the right to work in the U.S. Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
2026 Humanities and Artificial Intelligence Virtual Institute (HAVI) RFP is sponsored by The Eric And Wendy Schmidt Fund For Strategic Innovation. This RFP supports interdisciplinary research projects that integrate humanities scholarship with artificial intelligence. The program aims to produce innovative, domain-specific research outcomes by applying AI tools to humanities questions and using humanistic insights to advance the development of AI. Geographic focus: Global Focus areas: Artificial Intelligence, Humanities, Digital Humanities, Interdisciplinary Research Official opportunity description and requirements excerpt: Opportunities for Funding Stay up to date on the latest news, stories and funding announcements. Bold science, deep and continuous collaborations Schmidt Sciences, founded in 2024, is one of the philanthropic organizations and initiatives created and funded by Eric and Wendy Schmidt to work toward a healthy, resilient, secure world for all. Within each of our five centers, we organize scientific support through programs and projects—tailored to the needs of each specific hypothesis or challenge. Our team supports researchers pursuing hypotheses that address everything from basic-science questions to pressing problems facing the planet. Science has made profound leaps thanks to ongoing revolutions in computing, data, molecular biology and space. These breakthroughs are making possible new and powerful analytical techniques with practical solutions. We believe that philanthropy has an essential role to play in moving science forward. Supporting AI research and tools to accelerate breakthroughs across fields Unveiling the mysteries of the Universe with rapid realizations of innovative technology Harnessing biology's infinite possibilities at its intersection with chemistry, physics, and engineering Supporting climate research to bend the carbon curve and secure a sustainable future Breaking down barriers to scientific discovery by supporting people, tools, and communities Opportunities for Funding We proactively seek out grant opportunities and do not accept unsolicited proposals. Please find our current open calls listed below. 2026 AI for Actionable Matter Modeling AI for Actionable Matter Modeling 2026 Humanities and Artificial Intelligence Virtual Institute (HAVI) RFP Humanities and AI Virtual Institute (HAVI) 2026 Science of Trustworthy AI RFP Science of Trustworthy AI 2026 Unconventional Compute RFP Research Frontiers Network (IIT Delhi): Net-Zero India Research Frontiers Network Schmidt Sciences awards over $3 million to study AI’s impact on jobs Google’s former CEO wants to build a cosmic search engine Scientific American | Jan 8, 2026 The first-ever private space telescope could launch before decade’s end Astronomy.com | Jan 8, 2026 Eric and Wendy Schmidt to fund space telescope, three ground-based observatories Ars Technica | Jan 8, 2026 Former Google CEO plans to singlehandedly fund a Hubble telescope replacement Schmidt Sciences awards $11M in grants to bring AI to humanities research Nautilus Magazine | Nov 25, 2025 Nautilus X Schmidt Sciences: Catalysts of Discovery Schmidt Sciences Announces Its Latest Cohort Of AI2050 Fellows Schmidt Sciences awards $18M to researchers working to ensure AI benefits society Schmidt Sciences awards $45M to narrow carbon cycle knowledge gap Why Wendy Schmidt Is ‘Doubling Down’ On Climate Science In The Age Of Trump Opportunities for Funding The technical storage or access that is used Application snapshot: target deadline March 13, 2026; published funding information $100,000 - $800,000; eligibility guidance Open to universities and non-profit organizations globally. Projects must include co-PIs with expertise in both the humanities and artificial intelligence. Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
Foresight Institute AI Policy and Governance Fellowship (2027 Cohort) is sponsored by Foresight Institute. Year-long fellowship for research in AI governance, policy, and human-centric AI impacts. Application snapshot: target deadline March 15, 2026; published funding information Varies (funded fellowship); eligibility guidance Early-career professionals, PhDs; open to California applicants Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
Democracy x AI Cohort is sponsored by Mozilla Foundation. Funds projects developing technologies that empower communities and push forward people-first AI for democracy and social good. Official opportunity description and requirements excerpt: APPLY NOW Democracy x AI Cohort | Mozilla Foundation Democracy x AI Cohort: Call for Proposals Inviting technologists building AI systems that strengthen democracy to apply Technology—and its place in our lives—has always tested and shaped democratic ideals. The printing press broke monopolies on information, fundamentally altering the architecture of power. The telegraph created high-speed networks that erased the barrier of distance, allowing discovery and dissent to travel across continents in an instant. Radio, television, and eventually the Internet brought voices from the margins into the public square as never before. But democratic progress is never a fixed win. It ebbs and flows—power recalibrates, adapting to new tools of influence. Today, AI is being used to flood information environments with synthetic content, automate surveillance of activists and organizers, and optimize platforms for engagement over truth. The result: people can't tell what's real, institutions are losing credibility, and shared understanding is fracturing. Current applications of AI aren't just failing democracy—they're actively undermining it. We are seeking to support working prototypes that prove AI can serve democracy. That's why we're launching the Mozilla Foundation Incubator Democracy x AI Cohort for 2026. Mozilla Foundation believes that better tech futures are possible—and we're proving it by investing in projects that will make them real. We back technologists that are building alternatives that work—tools that are open, transparent, and designed to serve everyone. We support technologies that give power back to people and communities, and we plant seeds of radical change by funding projects that push forward new tech paradigms. Mozilla Foundation’s Incubator is a catalyst for this movement. All too often, promising alternatives launch, but fail to bridge the “valley of death” between prototyping and sustainability. We help build a community around promising ideas, finding the right users, contributors, mentors, and funders to sustain the work of technologists without compromising their values. We call this “product-community fit.” Every sustainable alternative we help build becomes proof that technology can work differently. By helping viable alternatives reach their full potential, we change what's possible: one successful alternative at a time. This cohort: Democracy x AI We are looking for technologists who look at the current state of democracy and see opportunities to strengthen it. How might AI contribute to the online information ecosystem in a way that is transparent and accountable? How could technology be used to advance a shared understanding of facts? What new spaces might be built to help cultivate conversation and consensus rather than polarization? In particular, we are looking for: Systems that Application snapshot: target deadline March 16, 2026; published funding information Varies; eligibility guidance Teams and projects advancing responsible AI. Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
IBM Impact Accelerator for AI-Driven Solutions in Education and Workforce is sponsored by IBM. Provides pro bono AI technology, expertise, and support for nonprofits and academics developing AI tools for education, including curriculum and learning solutions. Official opportunity description and requirements excerpt: IBM Opens Global RFP for AI-Driven Solutions Shaping the Future of Work and Education IBM Opens Global RFP for AI-Driven Solutions Shaping the Future of Work and Education NEW YORK , Feb. 4, 2026 / PRNewswire / -- IBM (NYSE: IBM ) today announced a global request for proposals (RFP) for the next cohort of the IBM Impact Accelerator focused on AI for transformative education and workforce development. The program invites nonprofits or government organizations, including academic institutions, to collaborate with IBM on developing solutions that help people learn more effectively, navigate career transitions, and access the jobs needed to build economic resilience. The gap between what people learn and what employers need is widening faster than institutions can adapt. As AI reshapes jobs and industries, workers are being forced to upskill at an accelerating pace. New research from the IBM Institute For Business Value shows that 67% of executives surveyed say job roles are becoming shorter-lived, and by 2030, 57% anticipate most current employee skills will be obsolete. At the same time, Pearson estimates that slow or unclear transitions between education and work cost the U.S. economy an estimated $1.1 trillion each year. While millions of people are turning to online courses and certifications to keep up with the labor market, many education and workforce institutions lack the data infrastructure, tools, and capacity to adapt at the same speed. Employers continue to face skills mismatches, learners struggle to understand which skills matter most, and public agencies frequently operate under resource constraints that make modernization challenging. This IBM Impact Accelerator initiative aims to address these challenges by supporting organizations working on how people learn, upskill, and find meaningful work amid rapid economic, AI-driven change. "Education and workforce systems are under pressure to adapt faster than ever, but many lack the tools to do so," said Justina Nixon-Saintil , IBM Vice President and Chief Impact Officer. "Through this global RFP, IBM is supporting organizations that use AI to close the gap between learning and work in real time while strengthening the pathways that connect education to quality jobs." The new cohort will support work that applies AI to systemic challenges in teaching, learning, and workforce preparation. Potential projects may include AI-enabled teaching and assessment tools, as well as personalized learning and career-guidance assistants that support learners at different stages. Areas of focus may span data platforms that connect learners to real opportunities and simulation or governance environments that help educators and policymakers test and refine responsible AI practices, including forecasting education Application snapshot: target deadline March 25, 2026; published funding information Pro bono technology and implementation support (value ~$500,000+); eligibility guidance Nonprofits, government entities, colleges and universities Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
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