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Thinking Machines Lab is awarding Interactivity Research Grants to advance AI 'interactivity' — the capacity of a model to communicate in real time across different modalities for human collaboration. Each grant provides $100,000 plus $25,000 in Tinker compute credits.
Priority areas include evaluation benchmarks for real-time multimodal interaction, safety mechanisms for such systems, generative UI for explaining complex results, and techniques for human steering of AI agents during extended tasks; proposals beyond these directions are welcome. The program targets researchers advancing foundation-model interactivity and human-AI collaboration.
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Or search similar grants →According to the current listing, eligibility includes: Researchers and teams working on AI interactivity, real-time multimodal interaction, and human-AI collaboration (open call; see program terms). Confirm the full requirements in the official notice before applying.
The current listing shows $100,000 per grant plus $25,000 in Tinker compute credits. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Thinking Machines Lab Interactivity Research Grants for Real-Time Multimodal AI Interaction is funded by Thinking Machines Lab. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
The AWS Imagine Grant program supports registered nonprofit organizations worldwide using technology — increasingly generative and agentic AI — to address social challenges in healthcare, education, poverty alleviation, conservation, and social services. Awards combine unrestricted cash funding, AWS computing credits, and expert technical guidance across three tracks: Pathfinder – Generative AI, Go Further Faster, and Momentum to Modernize. The 2026-2027 application cycle opens in spring 2026. The most recent cohort included 38 winners across six countries and three continents.
The F5 2026 STEM and AI Education Grants support nonprofits implementing STEM and AI education initiatives that prepare youth and underserved learners in Africa, Asia, and Latin America for the AI-driven economy. Funded organizations design programs that introduce AI literacy, foundational computational thinking, applied machine-learning projects, ethics of AI use, and pathways into STEM careers for students who would otherwise lack access. F5 prioritizes culturally adapted curricula, community-led delivery, partnerships with local schools and universities, and approaches that explicitly include girls, refugees, rural learners, and other underrepresented groups. Funded projects must demonstrate measurable learner outcomes and a clear sustainability plan beyond the grant period.
NVIDIA's K-12 AI Education Pledge, announced at a White House event aligning with the executive order on Advancing Artificial Intelligence Education for American Youth, commits $25 million to scale AI literacy in U.S. K-12 classrooms. The initiative integrates NVIDIA Deep Learning Institute (DLI) and NVIDIA Academy content through two K-12 learning platforms, Study Fetch and CK-12, tailoring hands-on AI experiences for high school students and educators. In year one NVIDIA focuses on curriculum development, platform integration, educator training, institutional engagement, and outreach efforts. The stated reach target is 1 million K-12 students within three years, supporting AI literacy, foundational machine learning skills, and pathways into the AI economy. The pledge complements NVIDIA's prior commitments of $30 million to the National AI Research pilot (NAIRR) and ongoing NSF partnerships supporting academic AI research.
Britain is making the largest coordinated public investment in AI research in its history — a £1.6 billion UKRI strategy, a £40 million fundamental research lab, and £27 million in alignment grants. The implications reach across the Atlantic.
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