Will deep learning replace our physics models and simulations?

While I was reading an article on Google last Deep Learning achievement, I was reminded of a previous discussion with former colleagues about replacing reservoir simulations with neural networks. At the time, I dismissed the idea as ridiculous due to the complexity of the task and the requirement for the training.

But now, Google seems to have done it. Or have they?

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Book review: Range: How Generalists Triumph in a Specialized World

I had to wonder. In my previous computer science positions, my coworkers were rarely computer scientist majors. They had a varied background, like chemistry, and I have myself an odd background (majored in signal processing, digital electronics and automation, then music and also a PhD in machine learning in partnership with a neuroscience lab).

In finance, lots of people are finance first and only, and they take everything at face value. Then came Epstein’s book. Could it explain what I was seeing?

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Analysis of the Boss MT2 Metal zone pedal (1)

I create a model of the Boss SD1 and the Ibanez TS9 some time ago. Now it’s time to get on modelling another pedal, the famous Boss MT2 Metal Zone.

There are many pages online that also analyse this pedal, but I’d like to start from the schema, split in independent pieces and analyze them with my Modelling  Lite tool. The end result will probably end up as a new plugin, but this is currently outside the scope of this new subserie.

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