More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

Advances in instrumentation, modeling and control are more fully understood and utilized when assisted by first-principle, ...

How predictions would impact clinical decision-making is another question, expert says ...

In the past few years, edge artificial intelligence (AI) has moved beyond experimental pilots and into real deployments ...

What if AI doesn’t come to control us through force, but through convenience—predicting our thoughts, smoothing decisions, ...

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

Emotions may reflect the brain’s predictions, not just reactions. Change happens when we stay with an experience long enough ...

Let's discuss why AI-powered data management is becoming essential in industrial automation and how organizations can build it successfully.

Cybersecurity emerges as a critical concern. As digitalization expands, energy infrastructures become more exposed to cyber threats. AI can strengthen security by detecting anomalies and automating ...

Cognitive Intelligence Platforms (CIPs) represent the convergence of AI, ML, NLP, and advanced analytics into unified enterprise ...

At George Mason, one undergraduate Health Informatics course brings together students from several programs—including, as of 2025, all nursing undergraduates. With the nursing pathway added, faculty ...

A machine learning model predicted cardiac tamponade during AF ablation with high accuracy. Learn how XGBoost may improve risk stratification.