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.
The body of scientific publications produced within TUPLES is not only extensive, but also marked by significant quality and international recognition, with contributions featured in some of the most respected journals and conferences in the field.
We are proud to highlight the achievement of Bernardino Romera-Paredes and Kerry He from Hiverge, who won both Scalability tracks (Deterministic and Probabilistic).
