For more than 30 years, credit decisioning has focused on improving speed and accuracy through automated, large-scale, ...

In 2026, tech leaders are learning a painful lesson: the problem with scaling AI adoption isn't understanding the algorithm, ...

Before big tech engineers can improve the fairness of recommendation systems, such as social media feeds and online shopping ...

Qoro Quantum's unified software stack optimizes quantum algorithms, addressing integration challenges and accelerating the transition to practical applications.

As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, a new method, named hyperFA*IR, offers a more principled approach when picking ...

Abstract: The multi-source navigation system is always equipped with diverse sensors to achieve complementary advantages such as accurate navigation. However, it inevitably causes sensor redundancy.

Department of Engineering Technology, Savannah State University, Savannah, GA, USA. Our analysis reveals that most claimed applications of Grover’s algorithm fall into one of several categories: Those ...

Background: The effect of selecting the initial crossing strategy using the global chronic total occlusion (CTO) crossing algorithm on the outcomes of CTO percutaneous coronary intervention (PCI) has ...

Abstract: We propose a low complexity forward selection algorithm for the sparse signal recovery (SSR) problem based on the sparse Bayesian learning (SBL) formulation. The proposed algorithm, called ...