A machine learning model for prediction of preeclampsia risk using routinely collected data was feasible among pregnancies in ...

More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems.

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

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

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

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

Cybersecurity emerges as a critical concern. As digitalization expands, energy infrastructures become more exposed to cyber ...

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 ...

Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of ...

Africa’s push toward artificial intelligence (AI) is accelerating, but new research suggests the continent’s digital privacy ...

Transcription is key to AI, but a call's full meaning can get lost in plain text. Modulate’s approach aims to deliver ...