Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

There are no established treatment options for patients with meningioma recurring after surgery and radiotherapy.

Norm Hardy’s classic Confused Deputy problem describes a privileged component that is tricked into misusing its authority on ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

As we head into the New Year, experts across the tech landscape weigh in to share what they think will happen in 2026 ...

Abstract: Real-time threat detection in mobile edge networks for consumer electronics based on the new Explainable AI (XAI) technique for reinforcement learning framework is proposed. The approach ...

Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Abstract: This paper reports a acoustic filter design process using a hybrid approach based on machine learning and COM model. Machine learning is deployed to accurately predict the filter structure ...

Objective Patients with atrial fibrillation (AF) frequently have multiple comorbidities that increase the risk of hospitalisation and contribute to higher mortality. However, studies examining the ...