TRUST-AI is a Horizon project delivering methods and technology in the broad area of interpretability and human-driven AI. The areas where our approaches are being tested include Health, Retailing, and Energy.
ABOUT TRUST AI
The TRUST-AI project aims at bridging the gap between the analytical expressions derived from theory and the numerical models obtained with Machine Learning. A novel paradigm will be developed, whereby humans and machines can collaborate and discover new solutions.
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three use cases
The three use cases approached will serve to guide the development of the framework, and will bring important short-term benefits, namely in cancer treatment, last-mile delivery and energy consumption.
Use Case 01
CANCER TREATMENT
Predicting the right treatment moment for patients with slow-growing tumors that only require specific treatment at some point in time (undergoing a wait-and-scan policy).
Use Case 02
TIME SLOT SELECTION
Dynamically selecting delivery time slots and corresponding pricing for last mile delivery, trading-off customer satisfaction and operational efficiency.
Use Case 03
DEMAND FORECAST
Predicting daily, hourly and minute energy consumption by managing multiple, real time and distributed data sources.
latest from the project
Communication & dissemination will ensure excellence and raise public awareness regarding the project. Check here our latest outcomes.
Apintech LTD joins the Organisation Committee of EnerVision 2025, presenting TRUST-AI and its innovative approaches in the energy sector.
Zehra Cataltepe, CEO of TAZI AI, discusses AI transformation in financial services and the role of TRUST AI in ensuring safe and compliant AI applications.
TAZI AI showcases no-code machine learning solutions at Finovate London, demonstrating how to democratize AI tools for both technical and business users in the fintech sector.
meet the partners
Communication & dissemination will ensure excellence and raise public awareness regarding the project. Check here our latest outcomes.
