Progetto: AN.DE
ANomaly DEtection - progetto di innovazione per lo sviluppo di un nuovo prodotto di quality control basato su AI
Progetto co-finanziato dal PR FESR Toscana 2021-2027 OP1 OS1 Azione 1.1.3
Progetto: MIAMI
Formazione in Intelligenza Artificiale e Marketing Integrato- Pr Fse+ 2021-2027
Progetto: DIANA
Progetto di anomaly detection che utilizza algoritmi di IA per L'innovazione in Aidia
Progetto co-finanziato dal PR FESR Toscana 2021-2027 OP1 OS1 Azione 1.1.4 - Bando RS 2 2023 "Progetti di R&S per MPMI e Midcap"
Project: WIN
Welfare and Innovation for the Well-being of Elderly People - WIN
National Recovery and Resilience Plan - Mission 4 - Component 2
CUP Code B83C22003920001 - Implementing body: REGIONE TOSCANA E.R.S.U. - UNIVERSITY OF FLORENCE P.zza S.Marco, 4 - 50121 Florence
National Recovery and Resilience Plan - Mission 4 - Component 2
CUP Code B83C22003920001 - Implementing body: REGIONE TOSCANA E.R.S.U. - UNIVERSITY OF FLORENCE P.zza S.Marco, 4 - 50121 Florence
Creation of a digital platform to assist caregivers in the social-health sector, incorporating e-commerce and personalized services, integrated with UP-eASI, an app derived from the "Pronto Badante" project of the Tuscany Region.
Project: QUALINT
Project for the improvement of Aidia's QUALity control system and its international commercialisation INTernational
Project co-financed by the PR FESR Tuscany 2021-2027 OP1 OS1 Action 1.3.1"
Project: AI-LABS
Artificial Intelligence for Laboratory Automation and Sustainability
Project co-financed by the REGIONAL PROGRAM TUSCANY
PR FESR TUSCANY 2021 – 2027
ACTION 1.1.2: Research and development for investment attraction
Call for Research, Development and Innovation for Investment Attraction
Project co-financed by the REGIONAL PROGRAM TUSCANY
PR FESR TUSCANY 2021 – 2027
ACTION 1.1.2: Research and development for investment attraction
Call for Research, Development and Innovation for Investment Attraction
The AI-LABS project aims to develop a new-concept LIMS software supported by generative AI algorithms for optimized management of analysis laboratories. The new LIMS will feature:
- Sample management with entry and acceptance in the LIMS via chatbot, sample traceability via TAG, and measurement of the carbon footprint throughout the entire lifecycle;
- Automated entry of analytical data from various instruments, based on AI anomaly detection algorithms enabling quality and robustness checks of analytical data;
Partner di progetto:
Project period: November 11, 2024 – April 1, 2026
Total eligible investment: € 2,615,000.03
Total eligible contribution: € 1,699,774.52