In a Q&A, Gabe Gomes discusses the potential to combine human creativity with machine capability, transforming chemical ...

While the Standard Model (SM) describes all known fundamental particles and many of the interactions between them, it fails ...

Welcome to what is currently one of the fastest academically developed solvers for mixed integer programming (MIP) and mixed integer nonlinear programming (MINLP). In addition, SCIP provides a highly ...

Google's open-source Meridian helps marketers build better models, understand lift by channel and finally bring sanity to ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

In this paper, we propose a framework for prioritized constraint-based specification of robot tasks. This framework is integrated with a cognitive robotic system based on semantic models of processes, ...

Mixed-integer linear programming and constraint programming models are formulated for this problem. Afterward, a branch-and-bound algorithm is developed to exactly solve the problem. We embed a domain ...

Models rewrite code to avoid being shut down. That’s why ‘alignment’ is a matter of such urgency.

We observe strong agreement between experimental data and numerical predictions, indicating that our model can serve to predict directionality and speed of a particle prior to fabrication. Shape ...