The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

At a time when cybersecurity threats loom large over the global and domestic digital space, CWG Ghana stands as concrete evidence of technological resilience and innovation. As a subsidiary of the Pan ...

New findings highlight the need to systematically check for bias in pathology AI to ensure equitable care for patients.

In the past decade, AI rsquo;s success has led to uncurbed enthusiasm and bold claims ndash; even though users frequently ...

Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

AI models using ultrasound imaging demonstrate superior diagnostic performance for ovarian cancer compared to sonographers, with higher sensitivity and specificity. The study emphasizes the need for ...

Instead ChatGPT has become perhaps the most successful consumer product in history. In just over three years it has ...

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...