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
Nearing the finish line of the TUPLES project, we’re reflecting on three years of ambitious, collaborative research into Trustworthy AI for Planning and Scheduling.
The Beluga™ Competition set a tough real-world scheduling challenge — and we have our winners! Thanks to all who took part.
Florent Teichteil-Koenigsbuch presented the work of TUPLES Trustworthy AI and the HEROIC Industrial Research Chair on trustworthy decision-making at the AI Action Summit hosted by Institut Polytechnique de Paris (IP Paris).
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