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The idea of a Masters degree in AI is a pretty large reach for a university to award. Most AI is pretty piecemeal and working on magic.

The truth is, despite marketing hype like Hadoop and such, there is no general solution to unstructured data except a full-blown AI solution to correlate data with experiences in the world. Visual processing gives you structure along three dimensions (two spatial). But, much like Ed Abbey's Flatland, missing a dimension can force very large errors out of your decision-making process.

You can try to do your learning with more than these dimensions (adding another camera at an orthogonal angle, for example) -- that's one answer. Or, you can implement a full-blown AI model which is ready to be developed in the world and uses a multi-layered, Markov model, for tracking all probabilities on all inputs to create excellent guesses, assuming your input data is ordered (and not noise).

The idea of a Masters degree in AI is a pretty large reach for a university to award. Most AI is pretty piecemeal and working on magic.

The truth is, despite marketing hype like Hadoop and such, there is no general solution to unstructured data except a full-blown AI solution to correlate data with experiences in the world. Visual processing gives you structure along three dimensions (two spatial). But, much like Edwin Abbott Abbott's Flatland, missing a dimension can force very large errors out of your decision-making process.

You can try to do your learning with more than these dimensions (adding another camera at an orthogonal angle, for example) -- that's one answer. Or, you can implement a full-blown AI model which is ready to be developed in the world and uses a multi-layered, Markov model, for tracking all probabilities on all inputs to create excellent guesses, assuming your input data is ordered (and not noise).

The idea of a Masters in AI is a pretty large reach for a university to award. Most AI is pretty piecemeal and working on magic.

The Truth is, despite marketing hype like "hadoop" and such, there is no general solution to unstructured data except a full-blown AI solution to correlate data with experiences in the world. Visual processing gives you structure along 3 dimensions (2 spatial). But, much like Ed Abbey's Flatland, missing a dimension can force very large errors out of your decision-making process.

You can try to do your learning with more than these dimensions (adding another camera at an orthogonal angle, for example) -- that's one answer. OR, you can implement a full-blown AI model which is ready to be developed in the world and uses a multi-layered, Markov model, for tracking all probabilities on all inputs to create excellent guesses, assuming your input data is ordered (and not noise).

Also, this post probably belongs on another SE site.

The idea of a Masters degree in AI is a pretty large reach for a university to award. Most AI is pretty piecemeal and working on magic.

The truth is, despite marketing hype like Hadoop and such, there is no general solution to unstructured data except a full-blown AI solution to correlate data with experiences in the world. Visual processing gives you structure along three dimensions (two spatial). But, much like Ed Abbey's Flatland, missing a dimension can force very large errors out of your decision-making process.

You can try to do your learning with more than these dimensions (adding another camera at an orthogonal angle, for example) -- that's one answer. Or, you can implement a full-blown AI model which is ready to be developed in the world and uses a multi-layered, Markov model, for tracking all probabilities on all inputs to create excellent guesses, assuming your input data is ordered (and not noise).

The idea of a Masters in AI is a pretty large reach for a university to award. Most AI is pretty piecemeal and working on magic.

The Truth is, despite marketing hype like "hadoop" and such, there is no general solution to unstructured data except a full-blown AI solution. Visual processing gives you structure along 3 dimensions. But, much like Ed Abbey's Flatland, missing a dimension can force very large errors out of your decision-making process.

You can try to do your learning with more than these dimensions (adding another camera at an orthogonal angle, for example) -- that's one answer. OR, you can implement a full-blown AI model which is ready to be developed in the world and uses a multi-layered, Markov model, for tracking all probabilities on all inputs to create excellent guesses, assuming your input data is ordered (and not noise).

Also, this post probably belongs on another SE site.

The idea of a Masters in AI is a pretty large reach for a university to award. Most AI is pretty piecemeal and working on magic.

The Truth is, despite marketing hype like "hadoop" and such, there is no general solution to unstructured data except a full-blown AI solution to correlate data with experiences in the world. Visual processing gives you structure along 3 dimensions (2 spatial). But, much like Ed Abbey's Flatland, missing a dimension can force very large errors out of your decision-making process.

You can try to do your learning with more than these dimensions (adding another camera at an orthogonal angle, for example) -- that's one answer. OR, you can implement a full-blown AI model which is ready to be developed in the world and uses a multi-layered, Markov model, for tracking all probabilities on all inputs to create excellent guesses, assuming your input data is ordered (and not noise).

Also, this post probably belongs on another SE site.