The predominant AI development method. In the 1980s, AI systems were programmed more like regular data processing applications (if-then-else rules). Today, AI systems use machine learning to "learn by ...

Software that can has been (or can be) trained to make decisions based on rules of its own invention, as opposed to rules explicitly programmed by the software author. Instead of starting with rules, ...

Once machine learning models make it to production, they still need updates and monitoring for drift. A team to manage ML operations makes good business sense As hard as it is for data scientists to ...

Clear and trustworthy information is essential for people who are ill. People with cancer, in particular, are targeted with vast quantities of patient education material, but of variable quality.

Semi-supervised learning combines supervised and unsupervised learning for efficient data analysis. This hybrid approach enhances pattern recognition from large, mixed data sets, saving time and ...