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
PROGETTO IA*E CROSSWORD GENERATOR SOFTWARE

PNRR project: ECS00000024 – Rome Technopole
Bando a cascata domanda n. SAP01-2023-000089
CUP B83C22002820006
Titolo: Intelligenza Artificiale per l’Enigmistica
Acronimo: IA*E
Description
IA*E aims to transform content and puzzle games production by leveraging Generative AI technologies to create a competitive advantage in a sector characterized by high human resource demands and specialized personnel with significant production costs and low profit margins.
Objectives
Intermediate Objective: to DESIGN an innovative AI platform for automatic professional puzzle content production.
The final goal is ESTABLISH A COMMERCIAL PARTNERSHIP that combines two excellent companies with over twenty years of experience in their respective sectors.
Research objectives and coherence with THE project
Business Ecosystem Transformation
- Newco, addressing the need to consolidate Italy’s fragmented business landscape
- Creation of an integrated technological supply chain combining advanced editorial and digital competencies
Innovation and Technology Transfer
- Collaboration with research personnel (PhD)
- Implementation of Key Enabling Technologies (KET)
- Alignment with Rome Technopole’s spoke1 for applied research
- Full consistency with Flagship Projects 6 and 8 on Artificial Intelligence
Sectoral Digital Transformation
- Acceleration of digital transition
- Multidisciplinary integration of humanities and scientific skills to digitalization
Creation of a Crossword Generator Software
- Semantic mapping and development of vocabularies, including thematic ones
- Development and refinement of effective prompts to guide the AI in producing coherent clues and content
- Model training and optimization
- Study of solutions to make the system capable of producing large volumes of puzzles when needed (Scalability research)


