Building trustworthy planning and scheduling systems

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

Relive the Award Ceremony and gain insights into how the winners turned a real-world logistics problem into a showcase of trustworthy, scalable, and explainable AI.

We are proud to highlight the achievement of Bernardino Romera-Paredes and Kerry He from Hiverge, who won both Scalability tracks (Deterministic and Probabilistic).

Linköping University

A unique learning experience, moving from theory to practice and exploring the challenges of trustworthy AI in a realistic industrial setting.

building tools to increase confidence

No harm to people or the environment

Stability and sensitivity in all situations

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