It’s only logical to go on an read this book after Me and White Supremacy, as they are answering to each other, one about how to get rid of racism, and this one more on the history and the testimony on racism. It’s also the second book on #BlackLivesMatter that we shared in my fitness book club.

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This entry is part of 7 in the series Analog modelling

In almost all analog modeling algorithms, we solve a (non-)linear system they require at some point to solve Ax=y, with given A and y. Depending on the size of the matrix and its characteristics, computing an inverse can be costly and may incur numerical problems. Let’s tackle cost in this discussion.

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Is it fair to say that this issue is quite current? My fitness book club had this book on their list since before the CrossFit scandal, so it’s fair to see that they were ahead of the curve on this one, and I’m proud to be part of the team.

Still, is being proud of what they did enough? What should I do more to tackle white supremacy?

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I started reading this book a few weeks ago, when Trump started the whole ObamaGate nonsense, and when he tried to flip the narrative on what happened with Flynn. As I was reading what happened 3 years ago, it was astonishing to see how manipulative this president is.

This is clearly a political book, and this is not something that I usually review, but sometimes you need to wake up and take position.

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For this week’s book club, I was supposed to read Normal People, which is supposed to be an acclaimed book. Frankly, I couldn’t read it. The style is horrendous and unreadable (and I managed to read the Hunger Games books which were ranked at the lowest in my opinion). A few reasons are the fact that it’s a first person-present tense book, which I always fail to dive in. By definition, these books don’t allow me to immerse myself in their environment. Then the other reason is that when the book start, in the first few pages, you don’t get any information, any goal to go on reading.

So instead, I turned myself to an older book I read when I came in the UK (I think), Beat the Reaper.

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During the coronavirus confinement, I found myself reading less, at least at the beginning. The main reason was that I used to read 1 hour during my commute, but this commute didn’t exist anymore! But to save me, I had my newly created CrossFit book club. We share book ideas, and each week read one book or some science articles. This book was one of them.

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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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