By Andrew Satz
Artificial Intelligence (AI) is a term so overused and misunderstood that it has lost its meaning. As a data scientist who spends a significant amount of time thinking about how and where to apply machine learning to challenges in life sciences and the pharmaceutical industry, when the majority of individuals say AI, what I feel they really mean is technology that can simulate human intelligence. By that definition, everything from a simple calculator to a recurrent generative adversarial network (and beyond) could be considered AI. But thinking of AI as an algorithmic method may not be the best way to recognize its value.