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PM_ME_VINTAGE_30S [he/him]
PM_ME_VINTAGE_30S [he/him] @ PM_ME_VINTAGE_30S @lemmy.sdf.org
Posts
13
Comments
936
Joined
2 yr. ago

  • No I do lol, I just didn't make the connection

  • 34.5 × 2 = 69 nice

    No but seriously idk

    Edit: no I don't know why my phone decided to cut out the bottom of the image but not crop out the black pixels. Yes phone, that's exactly what I wanted.

  • It absolutely will roast its own master lol:

  • If I needed to cite that fact as a legitimate fact in an academic paper, I would need some evidence that it's true.

  • They don't go in depth about how they combine the two for the hybrid model

    Actually they did, it's in Appendix E (PDF warning) . A GitHub repo would have been nice, but I think there would be enough info to replicate this if we had the data.

    Yeah it's not the most interesting paper in the world. But it's still a cool use IMO even if it might not be novel enough to deserve a news article.

  • Say it is a predictive llm

    According to the paper cited by the article OP posted, there is no LLM in the model. If I read it correctly, the paper says that it uses PyTorch's implementation of ResNet18, a deep convolutional neural network that isn't specifically designed to work on text. So this term would be inaccurate.

    or a pattern recognition model.

    Much better term IMO, especially since it uses a convolutional network. But since the article is a news publication, not a serious academic paper, the author knows the term "AI" gets clicks and positive impressions (which is what their job actually is) and we wouldn't be here talking about it.

  • Haven't read any article about this specific 'discovery' but usually this uses a completely different technique than the AI that comes to mind when people think of AI these days.

    From the conclusion of the actual paper:

    Deep learning models that use full-field mammograms yield substantially improved risk discrimination compared with the Tyrer-Cuzick (version 8) model.

    If I read this paper correctly, the novelty is in the model, which is a deep learning model that works on mammogram images + traditional risk factors.

  • Sounds like a huge feature creep that would require many more developers, specifically those with experience in audio software development and low-latency content delivery. Plus, Matrix practically has this feature.

  • B is the magnetic field. Both B and E fields generate measurable forces.

    In particular, magnetic forces require the charge to be moving. If v = 0, the term v × B = 0, i.e. it disappears. The equation above is really why magnets are able to do stuff.

    Some materials are just naturally "more chill with" having its charges magnetized into motion. These are your permanent magnets. Electromagnets use an external source to generate an electric current, which is charge in motion, which generates the magnetic field.

    It's wildly more complicated than that, like it's literally several college courses, but IMO that's the gist of it.

  • but channels i watch dont upload to this right?

    I mean if you watch The Linux Experiment then yeah, and only because he chooses to upload to both YouTube and PeerTube (different instance). Generally speaking though, most of my favorite creators don't upload there. Yet...

    isn't this a whole different site?

    Correct, and that's why it's so important to get creators to put their stuff on PeerTube!

    IMO, PeerTube is the long-term solution to YouTube. Eventually, they will block Invidious, break FreeTube and NewPipe, and generally make YouTube unusable for people who cannot afford to pay and/or give up all privacy to Google. Or, knowing Google, they might just kill it for funzies.

    We need to learn how to use PeerTube, and we should convince creators to upload to PeerTube in addition to YouTube.

  • Because it is a federated video platform completely independent from YouTube and Google. So Google has no say on what goes on it, who gets to post, how it is administered, etc.

  • Oh yeah? Well I can jump over hundreds of books on my tablet.

    Take that Simone Biles

  • Thanks Dems, that's definitely what I wanted to convince me that things will be different if we vote for you again /s

  • Siblings yes, just about everyone else no. We have no interests, morals, or politics in common.