Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...

Stop Humanising Algorithms: The case for probability-literate regulation Probability engines cannot be ‘responsible’ or ‘ethical’ because only the humans who design and oversee them can be ...

Pricing Discrete Barrier and Hindsight Options with the Tridiagonal Probability Algorithm Wai Man Tse, Leong Kwan Li and Kai Wang Ng Management Science , pp. 383-393 (11 pages) ...

Introduction: Addressing the Unavoidable Nature of Cyber Risk In a rapidly evolving cyber threat landscape, the need for sophisticated and multifaceted risk management has never been more apparent.

In Gwenpool #5, everyone's dead except Gwen Stacy, who's ready to unleash some serious payback. What could possibly go wrong with an angry survivor?

KAIST researchers have developed a DRBG that theoretically achieves the highest possible level of security through a new proof technique, while maximizing speed by parallelizing its structure. This ...

We implement the neuromorphic radar system through a printed-circuit board (PCB) prototype and carry out simulations for the IC version. Our experiments verify NeuroRadar’s ability to empower resource ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

Path planning, in an other saying navigation, algorithms are vital in assorted applications, including robotics, autonomous vehicles, and drones. These algorithms can be broadly categorized into ...

To address this issue, we propose a novel user scheduling algorithm designed to optimize system throughput while maintaining inter-user fairness. The proposed method formulates the user scheduling ...