Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Abstract: In this work, we focus on solving non-smooth non-convex maximization problems in multi-group multicast transmission. By leveraging Karush-Kuhn-Tucker (KKT) optimality conditions, we ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

Combinatorial optimization problems are encountered often in various real-world applications, including logistics, scheduling, and network design ...

The rules of product discovery are being rewritten. “We’ve been so used to targeting people, it’s really a game shift to try ...

Google’s Willow quantum processor ran a specific algorithm 13,000 times faster than a classical supercomputer, according to ...

Why the real barrier to industrial AI isn't picking the right software—it's whether a facility's data, infrastructure and ...

Alfred University, the State University of New York College of Ceramics at Alfred University, and Classiq today announced a joint quantum computing initiative using Classiq’s quantum software ...

Crédit Agricole and Pasqal expand their quantum computing partnership, targeting production deployment for capital markets ...

Department of Energy, Cleveland Clinic, and IBM simulate a soup of molten salts and techno babble in pursuit of tritium ...

All-atom biomolecular foundation model uses co-folding as the entry point to a scalable drug discovery engine; the release marks a concrete step toward advancing open scientific AI for future ...

If your agentic AI project is failing, your problem is likely that you treated the integration work as somebody else's issue ...