But hey if you use The App™ you can turn it on and off from your couch. Also that pairing feature you paid for is only available when using The App™, pc users can get fucked.

That sounds great for an airgapped device! Most aren’t though

Literally Darwin

Xml has entered the chat

Who needs a license when there’s massgravel/MAS

I need a source on that knife, where can I buy it.

Or they have science so advanced it seems like magic to you. But that’s an unlikely scenario :)

Our dishwasher has the option to reset the currently selected program but it has to take a minute to do so with the machine closed always. So you’d press start, realise you selected the wrong program and, even though nothing changed except software, still have to close it for a minute.

Installing GPU drivers :). Bonus if you need to use CUDA on top of that

Botanically speaking they are correct.

I’d like to do the same, but atm I use nginx to serve all the web interfaces… And keycloak support is either a plus subscription feature or made to work with hacky Lua scripts.

So for now it’s security through obscurity, I got a wildcard cert and the pages are accessed based on subdomain. So afaik nobody has a clue unless they start iterating common subdomain names. (At some point™️ I’m adding proper auth though)

Use it on your phone, duh :P

Jokes aside I wish windows supported pin+hardware key to log in… But alas that’s an enterprise only thing.

For that particular website yes, but a salted client side hash is worthless on a different website.

Edit: plus even unsalted it would only work if the algorithm is the same and less iterations are done

It helps against the server being able to read the password, so a bad actor (either the website itself or after a hack) could read your password. Which isn’t bad if you’re using good password hygiene with random passwords, but that sadly is not the norm.

Why would you not hash in the browser. Doing so makes sure the plaintext password never even gets to the server while still providing the same security.

Edit: I seem to be getting downvoted… Bitwarden does exactly what I described above and I presume they know more than y’all in terms of security https://bitwarden.com/help/what-encryption-is-used/#pbkdf2

Btrfs works with different hard drive sizes, with 1 disk failure with no data loss.

Once I had a board game that was a lot like this. You controlled robots on a board, and had to plan out like 5 operations (turn/step/…) each round. Chaos ensues when you have 4 people hindering (or trying to) each other.

Op is not saying this isn’t using the techniques associated with the term AI.

Correct, also not what I was replying about. I said that using AI in the headline here is very much correct. It is after all a paper using AI to detect stuff.

Well, this is very much an application of AI… Having more examples of recent AI development that aren’t ‘chatgpt’(/transformers-based) is probably a good thing.

For the image-only DL model, we implemented a deep convolutional neural network (ResNet18 [13]) with PyTorch (version 0.31; pytorch.org). Given a 1664 × 2048 pixel view of a breast, the DL model was trained to predict whether or not that breast would develop breast cancer within 5 years.

The only “innovation” here is feeding full view mammograms to a ResNet18(2016 model). The traditional risk factors regression is nothing special (barely machine learning). They don’t go in depth about how they combine the two for the hybrid model, so it’s probably safe to assume it is something simple (merely combining the results, so nothing special in the training step). edit: I stand corrected, commenter below pointed out the appendix, and the regression does in fact come into play in the training step

As a different commenter mentioned, the data collection is largely the interesting part here.

I’ll admit I was wrong about my first guess as to the network topology used though, I was thinking they used something like auto encoders (but that is mostly used in cases where examples of bad samples are rare)