What is the neuropsychological basis for the brain's ever-changing contextualized goals? I explore this question from the perspective of the Affect Management Framework (AMF).

As is our end of year tradition, we’ve gathered together some industry spokespeople to tell us what they think the biggest ...

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 ...

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

Predictive algorithms help retailers leverage historical data and trend analysis to forecast future product demand with greater accuracy. Retailers forecast ...

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

Ingram Micro Xvantage is reshaping IT distribution with an AI-powered, platform-driven model that simplifies complexity, boosts automation, and accelerates partner growth. Sanjib Sahoo, President, ...

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 ...

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 ...

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

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...