Much interest in quantum computer development was spurred by Peter Shor's 1994 discovery of an algorithm that showed how ...

Pradhan and Basab Chakraborty, has developed a grey wolf optimisation (GWO)-based hybrid regression model that significantly improves state-of-health (SOH) estimation for bipolar lead-acid batteries.

A trial of an AI algorithm that uses retina images to evaluate the risk for atherosclerotic cardiovascular disease ...

Abstract: Randomized algorithms are crucial subroutines in quantum computing, but the requirement to execute many types of circuits on a real quantum device has been challenging to their extensive ...

In a pragmatic cluster non-randomized trial, Alexandra Kulinkina and colleagues investigate the effectiveness of a clinical decision support algorithm for guiding antibiotic prescribing in pediatric ...

Plinko is an online casino game built around a simple idea: a ball falls through a vertical grid filled with pegs and lands in a slot with a multiplier. The final position defines the result of the ...

Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...

Researchers have successfully used a quantum algorithm to solve a complex century-old mathematical problem long considered impossible for even the most powerful conventional supercomputers. The ...

Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...