What is a reliable Al system?
We deeply investigated the technical and algorithmic bases of such systems
The three-year mission of TUPLES has been to provide new technical approaches for Planning & Scheduling
We have tested our findings on real-world problems and created tools for future reliable P&S systems
Now in its final version the SAT is ready for wider adoption across research institutions, industry, and public organizations engaged in planning and scheduling AI solutions.
This article opens a series dedicated to the winners of the Beluga Competition, the international challenge hosted by TUPLES and Airbus from November 2024 to April 2025.
At this year's CP2025 conference, several members of the Tuples.ai project presented three significant papers that explore various aspects of constraint programming and scheduling. These contributions demonstrate the project's commitment to developing reliable, robust, and explainable AI systems for planning and scheduling.
