Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, ...

Transforming manufacturing, digital twins integrate AI and real-time data, optimizing processes and enabling proactive ...

We present an improved approach for learning dependency parsers from treebank data. Our technique is based on two ideas for improving large margin training in the context of dependency parsing. First, ...

In summary, the U.S.-Ukraine rare earths agreement is a strategic maneuver that exemplifies the application of embedded options in foreign policy. It allows the U.S. to secure potential access to ...

This article studies a class of distributed nonsmooth convex optimization problems subject to local set constraints and coupled nonlinear inequality constraints. In particular, each local objective ...

Immense interest in quantum computing has prompted the development of electronic structure methods that are suitable for quantum hardware. However, the slow pace at which quantum hardware progresses ...

Rank-constrained optimization problems have received an increasing intensity of interest recently, because many optimization problems in communications and signal processing applications can be cast ...

data-science machine-learning meta computer-vision deep-learning logic artificial-intelligence logic-programming multi-label-classification metacognition military-vehicles error-detection-correction ...