Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...

Information theory and network physiology are rapidly converging fields that offer powerful frameworks for unraveling the complexities of living systems. At ...

Abstract: Prestack seismic inversion, as a quantitative interpretation method, can integrate multiple information under Bayesian theory framework to obtain the posterior probability density functions ...

Abstract: This article studies the distributed optimal formation problems for multiagent systems subject to nonlinear inequality constraints. This problem can be formulated into a nonlinear ...

Social media algorithms may decide what life stage you slot into, and it's difficult to break out of it.

Quantitative approaches to equity investing continue to introduce new sources of alpha. Recent advances in computing power, such as machine-learning and natural language processing are generating ...

FICO Xpress 9.8 features a GPU-accelerated implementation of the hybrid gradient algorithm, yielding up to 50x speedups for very large optimization problems FICO Xpress Optimization has the widest ...

(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...

Application of orthogonal CNOP-I in a convection-allowing ensemble prediction system based on CMA-MESO for improving extreme ...

Quantum technology is moving—albeit slowly—from theory to proof-of-concept in finance, and it may become one of the most disruptive forces in banking and fintech over the next decade.

The findings of a newly released study have challenged one-size-fits-all rules and blanket bans, as the Australian government ...