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

A CMS pilot program will require providers in six states to submit select Medicare services for AI-enabled prior authorization or post-service medical review.

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 ...

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

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 ...

A distributed stochastic model predictive control (DSMPC) algorithm is proposed for the cooperative control of a heterogeneous unmanned aerial vehicle (UAV) swarm in the presence of external ...