2024, Paper: "This essay outlines foundations of the current moment facing corporations and politics, which I have characterized as a new “problem of twelve”—that is, the concentration of power in the ...
EasyCSP is an open-source Java library for Constraint Satisfaction Programming. Supports CSPs, CSOPs, discrete object domains, int interval domains, int constraint binarization. Examples include ...
Quadratically constrained quadratic programming (QCQP) problems appear in a wide range of engineering fields, including computer science, communication engineering, and finance. A key difficulty in ...
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Luna v1.0 & FlexQAOA bring constraint-aware quantum optimization to real-world problems
Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, performance, and real-world applicability by introducing FlexQAOA, a hybrid ...
Abstract: Spiking neural networks (SNNs) offer an effective approach to solving constraint satisfaction problems (CSPs) by leveraging their temporal, event-driven dynamics. Moreover, neuromorphic ...
Logical reasoning remains a crucial area where AI systems struggle despite advances in processing language and knowledge. Understanding logical reasoning in AI is essential for improving automated ...
Constraint satisfaction problems (CSPs) are a class of problems that are ubiquitous in science and engineering. They feature a collection of constraints specified over subsets of variables. A CSP can ...
We often hear about the health care workforce shortage ongoing in our country. I feel it pertinent to clarify that much of the shortage is intentionally induced by hospital systems and the non-compete ...
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