Anthropic, a Generative AI company, introduced a new solution that would seem to put many enterprise software vendors at risk ...

Abstract: This paper investigates distributed constrained optimization over directed networks, where multiple agents collaborate to minimize the sum of local convex cost functions subject to ...

Rational artificial intelligence sounds simple on paper: build systems that make sensible decisions based on goals, evidence, and logic. Yet ...

AI will serve humanity only if we endow our creations with moral restraint rather than mathematical optimization.

1 Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg, Luxembourg 2 Department of Electrical and Computer Engineering (EIT), RPTU University of ...

With the rapid advancement of digital transformation, enterprises face escalating challenges in cloud resource allocation due to dynamic workloads and substantial capital investments. Existing ...

This project allows users to work with advanced portfolio optimization using natural language, without writing code. It provides 9 specialized MCP tools covering everything from classic mean-variance ...

Long sales cycles, low conversion volume, and multi-stage purchase journeys make measurement and attribution harder, creating real obstacles to campaign optimization. For B2Bs and brands selling ...

Abstract: This letter presents a novel stochastic gradient descent algorithm for constrained optimization. The proposed algorithm randomly samples constraints and components of the finite sum ...

1 School of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China. 2 Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of ...