A new two-stage differential evolution algorithm that borrows the foraging behavior of squirrels outperforms leading ...

A six-parameter steady-state fuel-cell model fitted with Enhanced Artificial Rabbits Optimization produced very low voltage ...

Spread the love“`html A recent study, published in the prestigious journal Science on October 22, 2026, has sent ripples ...

The number of incredible performance cars that left Japan in the '90s is frankly nuts, and seeing any one of these fast icons ...

Previously, building powerful quantum machine learning models relied on complex layered circuits prone to optimisation ...

This research details how a bosonic quantum system’s evolution defies the standard mean-field Hartree approximation, a key ...

Microsoft’s AI Stuns Doctors: 83.2% Accuracy in Complex Cases”, “content”: “ Imagine a world where the most perplexing ...

This paper introduces a novel metaheuristic optimization algorithm, the Opposition-Based Newton-Raphson-Based Optimizer (OBNRBO), with application to quadrotor UAVs control. The proposed method ...

Latent desires and the evolution of algorithmsIn the entertainment market leading up to 2027, the 'change in the quality of ...

Sensors embedded in concrete at the time of construction could soon help engineers continuously track its strength and detect ...

The Genealogy of "Information Mathematics" that Became the Foundation of AI EngineeringModern generative AI returns smooth ...

This paper proposes a new multi-echelon 4-D chaotic supply chain model (NME-4D-CSCM) incorporating a sinusoidal nonlinearity to better represent uncertainties in supply chain dynamics. The model ...