The terms get mixed up constantly. In boardrooms, in classrooms, in startup pitches, even in technical documentation. You’ll hear someone say “AI system” when they really mean a predictive model.

AI fuels Duke research with the potential to improve human lives, from modeling patient hearts with supercomputers and mining ...

In just a few years, AI has transitioned from experimental development to full production use cases that encompass everything from retail sales and marketing to healthcare, manufacturing, finance, ...

Natural language processing and machine learning are both subtopics in the broader field of AI. Often, the two are talked about in tandem, but they also have crucial differences. Machine learning (ML) ...

The companies that learn to combine predictive and generative AI—rather than treating them as one technology—will outperform those still chasing full automation. Over the past two years, I’ve had ...

The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...