Abstract: This article presents a novel proximal gradient neurodynamic network (PGNN) for solving composite optimization problems (COPs). The proposed PGNN with time-varying coefficients can be ...
Ghost hackers infiltrating the computers of Tibetan exiles and the U.S. electric grid have pulled the curtain back on 21st-century espionage as nefarious as anything from the Cold War — and far more ...
As part of CRN’s CEO Outlook 2026, here’s where top technology CEOs are placing their bets in 2026 and how they are relying on partners to help them tackle emerging technology opportunities.
Execution latency during liquidity shocks can create slippage and wider spreads that change your risk profile.
Your router's USB port is convenient, but its unreliability makes it susceptible to a potential security risk. Here's the alternative.
Sachdeva’s breakthrough challenges one of the most studied problems in computer science, known as maximum flow, which ...
The original version of this story appeared in Quanta Magazine. All of modern mathematics is built on the foundation of set theory, the study of how to organize abstract collections of objects. But in ...
Abstract: Fitness landscape analysis (FLA) is quite important in evolutionary computation. In this article, we propose a novel FLA method, the nearest-better network (NBN), which uses the ...
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