AI is by nature somewhat of a black box, because the model is not directly programmed, but rather learned. This means a lot of companies that attempt to roll out AI find themselves unprepared to take that step, and they thus waste a lot of time & money. So laying out the foundations where AI can succeed is a crucial first step. Today, there are two ways in which this foundation is established:


A simulation provides a place where AI can gather data. The programmer provides the inputs or “levers” which the AI can pull to impact its environment in the simulation. By allowing the AI to repeat the simulation and providing the AI a goal, it can create a learning model on how to ... subscribe to read more

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