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The Swiss AI Initiative has opened its third call for Large Grants, allocating substantial GPU compute on Switzerland's national supercomputing infrastructure to one-year projects across the Initiative's priority areas.
Named topics include large language models, multimodality, AI safety, AI in education, AI for science, health, climate and weather, robotics, and AI in democratic processes, with other areas considered where alignment with the Initiative's criteria can be shown.
Individual allocations can exceed 500,000 compute hours, placing successful projects in the range where genuine foundation-model pretraining and large-scale multimodal experimentation become feasible rather than merely fine-tuning. A secondary cash component of up to 200,000 Swiss francs for personnel and research costs is available in exceptional cases, but compute is the primary currency of the award.
The process is two-stage: a Declaration of Intent was due 16 March 2026 at 17:00 CET, followed by full proposals on 31 March 2026 at 17:00 CEST. Eligibility is tightly drawn to the ETH Domain, requiring affiliation with ETH Zurich, EPFL, PSI, WSL, Empa or Eawag and a permanent or tenure-track professorial appointment lasting the full project duration, with cross-institutional collaborations encouraged.
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Or search similar grants →According to the current listing, eligibility includes: Applicants must be affiliated with an institution of the ETH Domain, specifically ETH Zurich, EPFL, the Paul Scherrer Institute, WSL, Empa or Eawag, and must hold a permanent or professor tenure-track appointment for the whole duration of the project. This is a hard structural limit: researchers at Swiss cantonal universities, universities of applied sciences or institutions outside Switzerland cannot lead an application and must join through an eligible ETH Domain partner. Cross-institutional collaborations within the ETH Domain are explicitly encouraged. Projects run for one year. The award is principally an allocation of GPU compute hours, which can exceed 500,000 hours, with personnel and research costs funded only in exceptional cases up to 200,000 Swiss francs, so applicants should not assume salary support. Proposals must align with the Swiss AI Initiative's goals and should address one of the named topics: LLMs, multimodality, AI safety, education, science applications, health, climate and weather, robotics or democratic processes; other topics are considered where alignment is argued. The process required a Declaration of Intent by 16 March 2026 at 17:00 CET as a gating step before the full proposal deadline of 31 March 2026 at 17:00 CEST, so late entrants could not join mid-cycle. Confirm the full requirements in the official notice before applying.
The current listing shows the award is primarily an allocation of GPU compute hours, which the call states can exceed 500,000 compute hours for a one-year project. Cash is secondary and exceptional: personnel and research costs may be requested only up to a maximum of 200,000 Swiss francs, roughly 250,000 US dollars at approximately 1.25 dollars to the franc. amount_min is therefore recorded as 0, because a compute-only award carrying no cash is a normal and expected outcome, and amount_max as 250,000 US dollars, the ceiling on the cash component. Applicants should read the structure literally: the Initiative is distributing access to national supercomputing capacity and treats salary funding as a top-up for cases that cannot proceed without it, so a proposal built around a large personnel budget is structurally misaligned with the instrument. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was March 31, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Swiss AI Initiative Third Call for Large Grants for LLM, Multimodal, AI Safety and Science Projects on Alps Supercomputing Infrastructure is funded by Swiss AI Initiative (ETH Zurich and EPFL, administered across the ETH Domain). 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.
EPSRC has opened the explainable AI strand of its Next Generation Artificial Intelligence programme, a 12,050,000 pound call for speculative, high-risk fundamental research that makes AI systems explainable rather than merely accurate. The call names five research directions: output reasoning, where the system articulates why it produced a given output; mechanistic interpretability, which seeks to understand the internal computations of a model; process examination, which audits how a decision was reached; imposed explainability, which builds explanation into architecture by construction rather than recovering it after the fact; and uncertainty quantification, which characterises what a model does not know. The framing is unusually explicit that incremental improvement is not fundable: applications must demonstrate potential for transformative outcomes, and EPSRC uses the phrase speculative and high-risk fundamental research with the potential to deliver high reward. Awards run up to 24 months with a fixed project start of 1 February 2027, and the maximum request is 602,500 pounds at full economic cost with UKRI funding 80 percent. Early and mid-career researchers are particularly welcomed, and joint leadership is permitted with a designated administrative lead. The deadline is 20 October 2026 at 4:00pm UK time, with an information webinar having been held on 8 September 2026.
UKRI has opened a 12,050,000 pound call for speculative, high-risk research aimed at a step change in the sustainability of future AI systems, covering innovation across the whole AI stack rather than any single layer. In scope are energy-efficient algorithms, hardware-software co-design, and AI systems designed to operate under real resource constraints, alongside work that addresses the environmental, social and economic sustainability impacts running through the AI value chain. The framing is notable for treating sustainability as broader than energy per training run: proposals are expected to engage with impacts across the value chain rather than optimising a single benchmark metric. As with the companion explainable AI call, UKRI states it is funding speculative and high-risk research with the potential to deliver high rewards, so incremental efficiency gains over existing baselines are unlikely to compete. Awards run up to 24 months with a fixed start of 1 February 2027 and a ceiling of 602,500 pounds full economic cost at 80 percent UKRI funding. Eligible roles explicitly include research technical professionals, which opens the call to systems and infrastructure specialists who are often excluded from conventional research grants. The deadline is 10 November 2026 at 4:00pm UK time, with a webinar held on 16 September 2026.
UKRI has opened a 5,000,000 pound cross-council call to accelerate the adoption of AI methods inside five priority science and engineering domains: engineering biology, advanced materials, quantum technologies, medical research, and fusion energy. The instrument is deliberately small and fast. Awards are capped at 250,000 pounds full economic cost over up to 12 months with a fixed start date of 26 April 2027, and the central requirement is that a proposal bring together genuine AI expertise with genuine domain expertise rather than either community working alone. Applicants must demonstrate how AI could be applied to address important research challenges in their domain and, critically, explain why an AI collaboration is necessary for that specific challenge, which is a direct filter against proposals that apply a standard model to a dataset and call it adoption. The call opened on 29 September 2026 and closes 1 December 2026 at 4:00pm UK time, with an information webinar held on 14 October 2026. Because the funding is short-duration seed money aimed at building new partnerships, it suits teams that have identified a domain bottleneck and a credible AI collaborator but have no existing joint track record to point to.
The Council on Foundations opened a Working Across Differences Accelerator for community foundations — a $20,000 planning grant, up to $45,000 in follow-on funding, and a November 2026 cohort start, backed by Mott and the Walmart Foundation. The dollar figures are small and the strategic value is not. Here is how to read a two-stage cohort program, and why the vocabulary this fund chose is itself the lesson.
Read articleARPA-H launched SPECTRA on September 17, 2026 under solicitation ARPA-H-SOL-26-163 — four technical areas with separate Solution Summary deadlines on October 18, December 2, and January 18. The enabling-technologies area closes first, five weeks after launch. Here is why the sequencing matters and how to read each TA.
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