University of Tennessee researchers James Ostrowski and Rebekah Herrman are developing quantum-computing tools to tackle multi-stage stochastic decision problems in fields like energy, logistics, and ...

A new technical paper, “Quantifying the Global Impact of Constraint Programming Based Local Scheduling in Semiconductor Manufacturing,” was published by Infineon and the University of Klagenfurt.

ThinkLabs AI has raised $28 million with backing from NVIDIA and energy investors to help utilities modernize power-grid ...

One month into the war with Iran, the game theorists have converged. They are right but only if the strategy space remains the same. If the game being analyzed is the only game that exists. They are ...

Abstract: Two stochastic model predictive control algorithms, which are referred to as distributionally robust model predictive control algorithms, are proposed in this article for a class of discrete ...

Robot adoption is advancing rapidly, driven by declining costs, rising demand, and the integration of artificial intelligence ...

Researchers have developed a hybrid surrogate model for iso-octanol oxidation to iso-octanal that integrates data-driven ...

The Impact of Artificial Intelligence on NFL Draft Strategies The NFL draft has always been a high‑stakes showcase of talent ...

Abstract: To understand the convergence behavior of the Push–Pull method for decentralized optimization with stochastic gradients (Stochastic Push–Pull), this paper presents a comprehensive analysis.

We have formulated an investment model that applies a conjugate utilities approach to illustrate that wealth can still grow in transitioning portfolios. We have proved t ...

ABSTRACT: The nearly analytic discretization of the frequency-domain wave equation produces large-scale, sparse, and ill-conditioned linear system, which challenge conventional iterative solvers. To ...