What is artificial intelligence? – Pragmatic definition – dan rose he

There is no final or academically accurate definition of artificial intelligence. Common ones usually define it as computer models that perform tasks in a similar way to man and simulate intelligent behavior.

The truth is that for each expert in the field of the one you seek for the definition, you will receive some new definition changes. In some cases, you can even get a very religious school on what it is like if the system contains deep learning patterns. Do you ask many starting founders if their systems contain it even though it is just a very simple regression algorithm as we have had in Excel for centuries. In fact, a VC fund recently found that less than half of the startups claiming to be AI-STARTUPS actually have any kind.

So when is he something? My definition is pretty pragmatic. For me he has a number of common features that if present, then I would define it like him. Especially when working with him, these features will be a lot on your face. In other words, if it looks like a duck, and swims like a duck, and Quacks like a duck, then it’s probably a duck. The same goes for him.

The usual features I see:

– the system simulates a human action or duty.

– The lesson comes from examples instead of instructions. Includes the need for data.

– Before the system is ready, you cannot predict that input x will give you the yn exit. Just ready.

So for me it is not really important what the basic algorithm does magic. If the usual features are present, then it will feel the same to use and develop and the challenges you will facewill be the same.

It may seem like I am with this definition by taking it to a simpler and less influential place, but this is just a small scratch on the surface. The basic human, technical and organizational challenges are great when working with him.