As the 2026 FIFA World Cup unfolds across North America, the world is focused on the players, coaches, and dramatic moments on the field.

MoEngage, the agentic customer engagement platform trusted by more than 1,350 consumer brands globally, today announced the ...

Overview:  AI is rapidly moving beyond automation and becoming an active participant in hiring, scheduling, performance ...

Contemporary research suggests that AI improves efficiency in areas such as fraud detection and portfolio optimisation due to its vast data and analytical prowess. However, it also bears the risks of ...

A theory of self-organization in the central nervous system is described, proposing that additive and dissipative synaptodendritic summation leads to synchronous oscillation as the equilibrium state, ...

Data minimization requirements are not new but they are becoming more common, and enforcement is on the rise. "Legal basis" requirements for data processing, justifying data processing activities and ...

Abstract: In this article, a fast and parameter-intensive loss minimization algorithm (LMA) is proposed for the surface-mounted permanent magnet synchronous machine (PMSM). The algorithm utilizes ...

At a time when no one expected progress on the U.S. federal privacy front, a new discussion draft for a comprehensive consumer privacy bill has emerged with bipartisan and bicameral support. On Sunday ...

ABSTRACT: In this paper, we provide and analyze a new scaled conjugate gradient method and its performance, based on the modified secant equation of the Broyden-Fletcher-Goldfarb-Shanno (BFGS) method ...

In today's data-driven landscape, where organizations harness vast amounts of data for insights and operations, the strategic interplay between data minimization and artificial intelligence (#AI) has ...

Abstract: In this paper, we introduce a proximal-proximal majorization-minimization (PPMM) algorithm for nonconvex rank regression problems. The basic idea of the algorithm is to apply the proximal ...