Collaborative Projects
Research and initiatives featuring ZA CLOUD.
AI4INO: Integrated infrastructure for research and innovation in AI
AI4INO aims to develop an integrated regional research-development-innovation infrastructure dedicated to the testing, validation, and adoption of Artificial Intelligence (AI) technologies, conceived as a reference hub for collaboration among academia, the private sector, and public authorities in the North-West Region. The infrastructure will be oriented toward supporting AI-based applications with an immediate and visible impact on society and toward stimulating innovation processes in strategic fields, in line with smart specialization priorities and with the objectives of the National Strategy for Research, Innovation and Smart Specialisation 2022-2027, as well as the specific objectives of the North-West Regional Smart Specialisation Strategy (RIS3 N-V) 2021-2027.
InfoSafeAI – Multimodal Platform for Urban Public Safety Proposed Technologies and Algorithms for Multimodal Analysis
The InfoSafeAI project will integrate a coherent set of technologies and information-processing methods from multiple sources (video, image, voice, text) for the purpose of detecting, classifying, and correlating events relevant to public safety, in a non-intrusive, explainable manner compliant with the AI Act and GDPR.
Distributed Ledger Technologies Implementation in Internal Organizational Workflows and Support Applications for Cooperation among National Security Institutions
The project aims to develop, test, and operationalize a multimedia data manipulation platform, encompassing data collection, preprocessing, storage, segregated user access, and their secure transformation based on cryptographic keys and signatures within a platform that integrates DLT-specific infrastructure and protocols. (Distributed Ledger Technology). Using techniques for federating artificial intelligence tools, the project aims to develop a modern solution for extracting useful information from multiple sources centered on textual data.