Reimagining Autonomous Network: The Convergence Of Quantum Computing And AI

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...

Solving quantum computing's longstanding 'no cloning' problem with an encryption workaround

A team of researchers at the University of Waterloo have made a breakthrough in quantum computing that elegantly bypasses the ...
IEEE

Multi-Strategy Enhanced Slime Mould Algorithm for Optimization Problems

Abstract: The slime mould algorithm (SMA) simulates the mechanism by which slime moulds optimize paths through chemical signaling and morphological changes, enabling efficient exploration and ...
Scientific Research Publishing

Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach ()

Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.
IEEE

DE-KAN: A Differential Evolution-Based Optimization Framework for Enhancing Kolmogorov-Arnold Networks in Complex Nonlinear Modeling

Abstract: Kolmogorov-Arnold Networks (KANs) offer superior fitting ability and interpretability compared to traditional Multi-Layer Perceptrons (MLPs). However, their complex structure and lengthy ...