Predictive and dynamic AI models that learn the rules and transformations of complex environments, physical or simulated.

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...

Abstract: Robust model predictive control (MPC) algorithms are essential for addressing unavoidable errors due to the uncertainty in predicting real-world systems. However, the formulation of such ...

This man believes auto insurance companies will soon use AI to track driving quality and reimagine the underwriting process, ...

A new study published today in Science Translational Medicine by researchers at The University of Texas MD Anderson Cancer Center details a therapeutic vulnerability in  patients with an aggressive ...

Objective Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive ...

Healthcare AI moved beyond the pilot phase in 2025. From saving hundreds of lives to reducing costs by $20 million to more than $100 million annually, health systems started experiencing measurable ...

When experimental results don't match scientists' predictions, it's usually assumed that the predictions were wrong. But new ...

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.

Abstract: Fuel cell systems are emerging as a strong alternative to traditional power sources due to their high energy efficiency, greater energy density, and zero emissions. However, their relatively ...

Surgical site infections (SSIs), particularly intra-abdominal (IAB) infections, are challenging to identify and remain a ...