Artificial intelligence brings to classification a scalable, accurate alternative. Using natural language processing and ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

The core utility of AI lies in its ability to process massive volumes of data and synthesize patterns. In ESG, models can aggregate vast, ambiguous, and often qualitative information into a single, ...

With Autopilot Lending, AI can analyze digital behavior, spending patterns, financial intent, and demographic signals to ...

This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...

As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.

Explore how agentic AI transforms cybersecurity by enhancing automation, improving decision-making, and enabling real-time ...

Abstract: Explainable Artificial Intelligence (XAI) has emerged as a critical tool for interpreting the predictions of complex deep learning models. While XAI has been increasingly applied in various ...

Machine learning (ML) has emerged as a powerful tool to analyze gait data, yet the “black-box” nature of many ML models hinders their clinical application. Explainable artificial intelligence (XAI) ...

You’ve heard the maxim, “Trust, but verify.” That’s a contradiction—if you need to verify something, you don’t truly trust it. And if you can verify it, you probably don’t need trust at all! While ...