Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Overview:  Explains algorithms in simple language with everyday examples anyone can understand.Covers major algorithm types, ...

Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...

Large-scale recommendation systems are becoming harder to improve because they no longer operate as isolated models. Modern ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...

For years, social media giants controlled what users saw in their feeds. While people could follow accounts, like posts or hide content they didn’t enjoy, recommendation algorithms controlled what was ...

Disease-modifying therapies for Alzheimer’s disease (AD) heighten demand for scalable tools enabling primary care providers (PCPs) to detect cognitive impairment and triage patients for appropriate ...

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Abstract: This paper presents an AI-driven framework for personalized learning and remedial recommendation grounded in knowledge concept-centric evaluation. The proposed framework comprises four key ...