CyberOhio Water Cybersecurity Grant (Ohio State) (Discontinued)

CyberOhio Water Cybersecurity Grant is sponsored by State of Ohio. The Cybersecurity Water Protection Grant supports projects that improve cybersecurity for water and wastewater systems, including upgrades to operational technology (OT), ICS/SCADA protections, monitoring, logging, incident response planning, and other resilience-focused improvements. Priority is given to Local Government Entities (LGEs) in Ohio's rural communities (populations under 50,000) and requires a 40% cost share. Funding must directly support cybersecurity improvements and align with federal standards.

CyberOhio Water Cybersecurity Grant is sponsored by Ohio Department of Administrative Services, CyberOhio. The Cybersecurity Water Protection Grant supports projects that improve cybersecurity for water and wastewater systems in Ohio. This includes upgrades to operational technology (OT), ICS/SCADA protections, monitoring, logging, incident response planning, and other resilience-focused improvements. Priority is given to Local Government Entities (LGEs) in Ohio's rural communities (populations under 50,000).

CyberOhio Water Cybersecurity Grant is sponsored by State of Ohio (State Administrative Agency via State and Local Cybersecurity Grant Program channel). Supports local government entities and public water/wastewater systems in upgrading operational technology (OT), industrial control systems (ICS/SCADA) protections, monitoring, logging, and incident response planning to meet rigorous cybersecurity standards. Priority is given to rural communities with populations under 50,000.

The BSC AI Factory Accelerator Programme is Spain's national acceleration programme for AI startups, run by the Barcelona Supercomputing Center with NVIDIA and AWS as technology partners. Each edition takes 100 startups, 25 at each of four launchpads in Barcelona, Bilbao, Madrid and Málaga. The hybrid programme runs 14 weeks in three stages: INSPIRE (business fundamentals), HANDS ON (supercomputing access) and SCALE (investment readiness and a Demo Day). Up to 50 startups move on to HANDS ON and 12 to SCALE. Participants get 1:1 business mentoring for CEOs, technical mentoring for CTOs, and training in advanced AI model training, optimization and distributed systems. The best-performing teams get hands-on access to the MareNostrum 5 supercomputer, with support from BSC AI experts. The programme is fully funded and takes no equity. Applications opened 13 October and close 9 November 2026, with kick-off in Barcelona on 2 December and a Demo Day in Madrid on 17 March.

Innovate UK is investing up to £3.1 million in Phase 1 of Frontier AI: SME Champions, the first of three phases. UK SMEs working alone can apply for feasibility or industrial research projects with total eligible costs of £150,000-£250,000, funded at up to 70% for micro and small firms, 60% for medium firms and 50% for large firms. AI must be the core technical contribution, starting at TRL 1-3. Each project picks one theme and a priority within it: AI-enabled health and life sciences, advanced materials with AI, secure AI for national security and defence, or AI safety and assurance technologies. Projects deliver a proof-of-concept prototype and a technical whitepaper, with a clear route to defensible IP. Hardware-led projects, literature reviews, routine integration of existing tools and fully autonomous targeting are excluded. Projects run 1-3 months, start by 1 April 2027 and end by 30 June 2027. Only Phase 1 winners can apply for Phase 2, which is expected to fund demonstrators of up to £1 million over up to 12 months, subject to business case approval. Innovate UK estimates a success rate of about 2%. The competition opened 1 October 2026 and closes 11 November 2026 at 11:00am UK time.

The EuroHPC Joint Undertaking launched its AI Gigafactories call on 30 July 2026 as a joint procurement, not a conventional research grant, and that distinction shapes who should respond. It seeks consortia or Special Purpose Vehicles bringing together companies, public entities, investors and other partners to establish up to seven AI Gigafactories across Europe - facilities that combine massive computing power and state-of-the-art AI processors with the software and cloud technology stacks, high-bandwidth connectivity and energy-efficient data centres needed to deliver frontier AI training, fine-tuning and inference at scale. This is the tier above the 19 AI Factories and 13 AI Factory Antennas EuroHPC already oversees, which serve SMEs and startups with free customised support; the Gigafactories are aimed at frontier-scale sovereign capacity. The financing model is blended: EuroHPC expects total private investment of more than EUR 20,000,000,000 across the EU, with successful projects receiving varying levels of EU and national co-funding calibrated to the size and range of sovereign services offered. Per-facility EU contributions have deliberately not been published, so applicants must build their own capital stack and negotiate co-funding rather than apply against a fixed grant envelope. Facilities may be established in a single Member State or span several, and cross-border developments are explicitly welcomed. The reference is EUROHPC-2026-CEI-AIGF-01 and the deadline is 12 November 2026 at 16:00 CET. Realistically this is a call for infrastructure-grade consortia with credible access to billions in capital, energy siting and hyperscale operations experience - not for individual research groups or early-stage startups, who should instead route through the existing AI Factories network.

HMGCC Co-Creation and Dstl are seeking an edge device that processes video and audio from off-the-shelf smart glasses and stitches frames into high-fidelity 3D maps for reconnaissance. The minimum deliverable is a TRL 4 proof of concept. AI, computer vision and machine learning are listed technology themes, for example algorithms that compensate for head movement while stitching frames. Essential requirements are a report on where smart-glasses data flows and who can access it, good daytime urban imagery, and a camera-based 3D map. Desirable features include low-light imaging, audio fusion, testing across several manufacturers and a three-year manufacturer roadmap, and the stretch goal is fusing audio and visual data to handle reflections and solid walls. Redesigning or physically modifying the glasses is out of scope, and data handling must comply with GDPR and manufacturer terms. The total budget is up to £60,000, about US$80,000, excluding VAT, with on average two providers funded for a 12-week project. Questions are due 29 October, pitch day is 25 November, and kick-off is targeted for January 2027. Applications close on 12 November 2026 at 17:00 UK time.

HMGCC Co-Creation and Dstl are seeking proof-of-concept small robots that can move through confined built environments across at least two of water, land and air, at TRL 4 or above. Essential requirements are a payload of at least 100 g, a demonstration in a representative built-environment scenario, and a final report with a development roadmap. Desirable features include operation in all three domains, up to one hour of operation, autonomous navigation, operation with intermittent GNSS, travel through ducts or pipes, a volume under 0.01 cubic metres and a mass under 1 kg. Humans must keep responsibility for operational decisions, and the system must not depend on continuous public cloud access. Funding is up to £60,000, about US$80,000, excluding VAT, and on average two providers are funded per challenge. The call opened on 12 October 2026. Applicants are notified on 23 November, pitch day is 7 December, and kick-off is targeted for January 2027 for a project of about 10-12 weeks. Applications close on 12 November 2026 at 17:00 UK time.

FY26 US DOT Drone Infrastructure Inspection Grants (DIIG) Program is sponsored by Office of the Under Secretary for Policy, U.S. Department of Transportation. Provides grants to eligible government entities to facilitate the use of small Unmanned Aircraft Systems (UAS) in critical infrastructure inspection, aiming to improve worker safety and operational efficiency.

The NHS Fellowship in Clinical AI is a 12-month, part-time (0.4 FTE, about two days a week) programme that trains clinicians and other health professionals to deploy and evaluate AI in real NHS clinical workflows. Fellows are matched to NHS AI projects under a clinical AI supervisor, attend compulsory masterclasses and a residential bootcamp, and gain Digital Clinical Safety Practitioner-level training covering DCB0129 and DCB0160. For competitive posts the fellow's employer is reimbursed for 0.4 FTE salary and the course fee and workshop travel are covered; nominated posts carry an £8,000 course fee met by a sponsor or the applicant. Funding routes include regional NHS bodies, the British Society for Haematology, T-Pro and the South West Healthcare Centre of Digital Excellence, with about 32 indicative interview posts across UK regions. Applications for Cohort 6 opened 5 October 2026 and close 16 November 2026 at 23:45 GMT, with remote interviews 13-29 January 2027 and a start date of 11 August 2027. Cohort 5 drew 310 eligible applicants for 34 competitive posts.