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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
The wait is over—the competition has officially begun! Register, collect data and requirements, and start developing your solution.
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
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