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

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

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 ...

Internal Control System, Forensic Accounting, Fraud Prevention, Vutumu Forensic Accounting Theory (VFAT), Committee of ...

Corporate leaders are racing to hire artificial intelligence talent, convinced that a few high-profile specialists can ...

Researchers at the Icahn School of Medicine at Mount Sinai in New York City developed an AI tool that predicts which ICU patients on ventilators are at risk of underfeeding. The model, called ...

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

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

The journey towards autonomous operations involves incremental steps, each bringing businesses closer to a state where systems can independently manage and optimize processes, ensuring sustained ...

Abstract: Model predictive current control (MPCC) based on sliding mode disturbance observer (SMDO) effectively addresses the issues arising from parameter mismatches and unmodeled nonlinear elements ...

As city grids evolve with renewable resources and IoT integration, digital twins offer a scalable solution for proactive ...

Predictive analytics has become one of the most practical technologies shaping modern business strategy. While it is often ...