Abstract: The Willow Catkin Optimization Algorithm (WCO) is a newly proposed meta-heuristic algorithm in recent years that has a simple structure and excellent optimization searching ability, but the ...

The big thinkers at Aperture highlight ways AI is being applied to solve human challenges. Trump withdraws US from 31 bodies in UN, already in fiscal peril Ex-FBI agent breaks down Minnesota shooting ...

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Not drinking enough water could intensify stress responses. Researchers found that under-hydrated individuals had cortisol levels more than 50% higher during stressful situations. Poor hydration ...

ProPublica is a nonprofit newsroom that investigates abuses of power. Sign up to receive our biggest stories as soon as they’re published. The Trump administration has vowed to go after anyone who got ...

"Quantum computing is reaching an inflection point," Nvidia CEO Jensen Huang said during his keynote speech at the chipmaker's GTC Paris developer conference. "We are within reach" of being able to ...

Two Naval Undersea Warfare Center (NUWC) Division Newport engineers have won American Society of Naval Engineers (ASNE) awards for 2024. Michael Connelly, technical project manager for the Undersea ...

Annealing processors (APs) are gaining popularity for solving complex optimization problems. Fully-coupled Ising model APs are especially valued for their flexibility, but balancing capacity (number ...

President Donald Trump acknowledged on Thursday the U.S. could experience "transition problems" as a result of tariffs. But he insisted the U.S. economy is in "very good shape," even as the stock ...

ABSTRACT: In this paper, we investigate the convergence of the generalized Bregman alternating direction method of multipliers (ADMM) for solving nonconvex separable problems with linear constraints.

Section 1. Background. In Executive Order 14257 of April 2, 2025 (Regulating Imports with a Reciprocal Tariff to Rectify Trade Practices that Contribute to Large and Persistent Annual United States ...

ABSTRACT: The alternating direction method of multipliers (ADMM) and its symmetric version are efficient for minimizing two-block separable problems with linear constraints. However, both ADMM and ...