Readit NewsFunny enough, my semi-pro career (I made $60 total) ended when I abandoned my surround sound when moving out in undergrad.
An alternative arrangement to direct employment is that the pilot could pay for his/her own type rating, and work as a contract pilot. But that requires having $100k to plunk down, and taking the risk that the job market will be strong after the type rating.
In this case, the employee may prefer the "indentured servitude" route versus having to front 6 figures to get their own type rating.
Here is the live coding performance I did for the Algorave 10th birthday online 24h streaming where I used Hydra for visuals:
What are people doing with their lights where this would ever come up though?
Edit: From reddit, a use case is found [1]:
> They’re actually used my law enforcement whenever they do a raid and seize a computer. If they turn the computer off, they’ll have to try and get past a password. And if the hard drive is encrypted, they’re basically SOL.
> This can be a real issue for things like drug dealers or CP busts, where they need to transport the computer for analysis, but can’t turn it off. So they roll in a specially designed power bank, plug it into the computer’s power strip, then unplug the power strip from the wall. The power bank keeps the strip hot while they transport it.
[1] https://www.reddit.com/r/livesound/comments/am6308/one_of_my...
Worked in live entertainment for a while. One cable we would use a lot is called a 'two-fer', it has one male and that splits to two female ends (so you can plug two fixtures into one outlet or dimmer). There also exists a 'suicide two-fer' that is the opposite, you can imagine why it has that name.
I believe I've also seen some 'suicide' cable setups when we needed to make multi-phase power for a motor controller by using different 120v sources. Can't remember the exact cabling of that but someone did end up grabbing a hot male end in that process and got a nice tickle.
The model (presumably some kind of convolutional neural network) has many layers, every layer has some set of nodes, and every node has a weight, which is just some coefficient. The weights are 'learned' during the model training where the model takes in the data you mention and evaluates the output. This typically happens on a super beefy computer and can take a long time for a model like this. As images are evaluated the output gets better the weights get adjusted accordingly.
Now we as the user just need the model and the weights!