What is a reliable Al system?
We want to deeply investigate the technical and algorithmic bases of such systems
The three-year mission of TUPLES is to provide new technical approaches for Planning & Scheduling
We will test our findings on real-world problems and create a test environment for future reliable P&S systems
Matteo Francobaldi from TUPLES presented SMLE at Brown’s CRUNCH Group—a step towards safer, compliant AI models for healthcare & automotive
Big presence for TUPLES at ECAI2024! Our teams presented pioneering work in AI decision-making, from explainable constraint solving to safe planning verification
Just wrapped up our 24-month General Assembly. As we enter the final year of the project, we’re focused on delivering AI-driven planning & scheduling tools for real-world impact. Exciting times ahead!
© 2023 – TUPLES – All rights reserved – Privacy & Cookie Policy – Credits WeggAgency
