Researchers have developed a technique that combines quantum computing with robust AI training, dramatically cutting the ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

This article is authored by AV Arunkumar, director, IFIM Institution.

Two White House executive orders turned the federal post-quantum cryptography (PQC) timeline into a compliance schedule on ...

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 ...

The automotive sector is experiencing rapid evolution, with the next-generation emphasizing clean energy sources such as fuel-cell hybrid electric vehicles (FCHEVs) due to their energy efficiency, eco ...

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 ...

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 ...