THE FIRST OPEN CALL FOR INNOVATION STUDIES IS CLOSED. The first call for proposals for “innovation studies” (identifier FFplus_Call-1-Type-2) driven by the business needs of SMEs and Start-ups highly competent in generative AI, professional software development, and data processing closed on September 4, 2024.
The second call is expected to be open during the summer 2025.
This FFplus open call for the development of generative AI models addressed the needs of SMEs and Start-ups proficient in generative AI and HPC for large-to extreme-scale computing resources. The strategic objective is to facilitate and strengthen the technological development of European SMEs in the area of generative AI. The participating SMEs and Start-ups will be supported in enhancing their innovation potential by leveraging new generative AI models, such as Large Language Models (LLMs), building on their existing expertise, application domain, business model and potential for expansion.
The FFplus calls for innovation studies are complementary to the open calls for proposals for business experiments addressing the uptake of HPC by SMEs.
KEY CALL DETAILS
Submission Deadline: September 4th, 2024 at 17:00 Brussels local time Expected duration of experiments: maximum 10 months with targeted commencement December 1st, 2024 The indicative total funding budget for all sub-projects funded under this call is € 4M. A number of funding constraints and eligibility conditions apply, detailed in the full announcement text, proposals that do not adhere to these conditions will be rejected without further evaluation.
Expectations for the innovation studies and proposals The expectations for innovation studies and proposals are detailed in the full announcement text, a summary of which is as follows:
Be fully aligned with the FFplus call objectives. Motivate the decision to develop generative AI as a solution to business problems or prospects and the timeliness of that decision. Explain how using large-scale HPC will lead to a positive business impact. Define specific objectives that must be achieved and the corresponding action plan. Provide details on the models to be developed, the availability of necessary data, the performance metrics and reproducibility plan, and potential risks relating to trustworthy AI. Explain how the allocated resources are commensurate with the proposed action & define in particular the HPC resources needed. Provide a comprehensive data management plan. Support the FFplus project in the generation of success stories suitable for publication discussing business benefits, technical and business challenges, and societal and environmental impact. Produce pre-final results and potential impact report to be delivered by the end of the 7th month of the innovation study. The complete announcement and proposer’s guide for the current open call can be downloaded as an FFplus Call-1: Type 2 Announcement document.
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