I wonder if the lower suicide rate is due to the fact that the individuals with tinnitus actually seek medical attention for it and, as a side effect, get treated for additional health problems as well.

For anyone else that had never heard of Oliver Oakes, he was the team principal of Hitech Grand Prix in the lower series.

I was just thinking the same thing when watching the last race. They sound much better than the other engines in my opinion.

Not to be that guy but have you checked the system logs when this happens?

Does this mean Andretti is actually happening? He must have more knowledge than most about the situation between F1 and Andretti…

I thought McLaren had the record for this season at 1.8 seconds.

Agreed. There is plenty of time between now and 2026 for corporate sentiment and priorities to change.

I do hope they’ll take this project seriously and that we get some real competition from them as a team.

While it’s unfortunate that it came at the expense of Danny getting injured, I’m excited to see how Lawson does in qualifying and the race.

Since you like mathematics I highly highly recommend Murphy’s Probabilistic Machine Learn: An Introduction and Advance Topics. Pre-print versions are freely available from his website. The books cover a wide variety of ML topics and should provide a great foundation. I also love how thorough his references are and feel like that alone is enough to justify the price of the book. My only caution is the book is poorly edited in certain areas where some formulas are incorrect (but you’ll probably catch the errors and they aren’t significant) and a paragraph is randomly missing in a section or two. But it’s an amazing thorough book and will definitely set a solid foundation as it doesn’t shy away from explaining the underlying details like others do.

If you’re looking for a practical book to go with it, Heron’s Hands on ML book is pretty decent as it walks you through the general framework of ML work. Honestly, with that said, the documentation of SciKit is awesome and can get you going pretty quick along with a few tutorials.

An introduction to statistical learning is a pretty decent primer on the subject if you’re looking for a good middle ground between theory and practice. The examples are in R which may be a negative for some. However, if you’re looking for a more math focused book with a similar feel, some of the authors were involved in writing the elements of statistical learning which follows the same structure but goes deeper into the topics and includes more advanced topics.

Also depending on how familiar you are with optimization it doesn’t hurt doing a little reading on that topic by itself. Murphy’s boom provides a decent crash course on the subject but there are plenty of other great books on the subject. I’ve found the work of Boyd to be great in that area but I can’t remember a primer of his to recommend.

Finally, one area I think worth dedicating its own book to is the concept of kernel methods used algorithms like support vector machines and Kernel PCA. Scholkopf’s Learning with Kernels is pretty great at introducing the topic and explaining how broad their applicability is.

Hope that helps!

Looks like they used generative AI to mash together the style of Van Gogh’s The Starry Night and a picture of the track. It looks poorly done lol.

I’d investigate the differences between the installs particularly around graphics and power management. It sounds like your system is getting woken up but it’s hanging at some stage in the process of resuming. You might get lucky and the issue might show up in the logs if you’re willing to investigate them.

When I’ve run NUCs in the past I’ve had issues with external nvidia GPUs dropping off the bus when resuming from suspend. To “fix” the issue, I ended up limiting the power state to S2 or S3 so that the graphics card was kept on the bus.

Do you know what display server, DE, power management service you were running on both? If the logs don’t turn anything up you can always compare the configs too to see how they’re suspending/waking the system.

I wonder if the scenario with spoken vs printed words getting treated differently is due to the differences in accuracy of google’s audio and ocr technology. Hi-res text images makes ocr very good at deciphering between grape and rape but with audio it may not be as good.

Similarly, I wonder if the fact that google is autogenerating subtitles for videos makes a difference. When it’s spoken in a video it’s not something they’ve produced but when it’s in subtitles they have generated it is something they produced and could somehow open themselves up to legal issues? Regardless it’s still unfortunate that YouTube is forcibly censoring subtitles.