232
That's part of why I clicked the article, I was confused if I read it correctly
88
Back in my day we used Corel WordPerfect at school.
(media.mstdn.social)
cross-posted from: https://lemm.ee/post/35607747
Kids today and their fancy Office 365.
See the other cool community over at !retrocomputing@lemmy.sdf.org
290
Nobody Listens | Poorly Drawn Lines
(poorlydrawnlines.com)
41
cross-posted from: https://lemmy.ca/post/23884006
Link to full text study:
https://www.thelancet.com/journals/landig/article/PIIS2589-7500(24)00094-3/fulltext
Background Cooling towers containing Legionella spp are a high-risk source of Legionnaires’ disease outbreaks. Manually locating cooling towers from aerial imagery during outbreak investigations requires expertise, is labour intensive, and can be prone to errors. We aimed to train a deep learning computer vision model to automatically detect cooling towers that are aerially visible.
Methods Between Jan 1 and 31, 2021, we extracted satellite view images of Philadelphia (PN, USA) and New York state (NY, USA) from Google Maps and annotated cooling towers to create training datasets. We augmented training data with synthetic data and model-assisted labelling of additional cities. Using 2051 images containing 7292 cooling towers, we trained a two-stage model using YOLOv5, a model that detects objects in images, and EfficientNet-b5, a model that classifies images. We assessed the primary outcomes of sensitivity and positive predictive value (PPV) of the model against manual labelling on test datasets of 548 images, including from two cities not seen in training (Boston [MA, USA] and Athens [GA, USA]). We compared the search speed of the model with that of manual searching by four epidemiologists.
The article is nice, but I'm not sure if I'd send it to friends that aren't familiar with the fediverse. It seems to gloss over some problems and focus less relevant ones
It doesn't touch on the issues with Blueskys protocol and makes it sound like an equivalent choice (or worse, a better choice). In the downsides section it touches on racism in badly moderated instances, and the difficulty of setting up an instance. Those issues aren't relevant to the vast majority of users who will join a large instance that has defederated from the bad stuff.
It's a nice article for those who are already somewhat familiar, but a bad first impression
Very cool, thank you!
This is both really cool, and really unsettling. I wonder if this research might help in the other direction as well, such as with transplants and grafts
309
!homeassistant@lemmy.world and !selfhosted@lemmy.world for more
Others have commented on the issues with Vivaldi, but do you have points on what you like about Vivaldi? People might suggest non-chromium browsers that do the same things
Right above this post I saw a discussion about something similar 😄
I will post GitHub issue threads where UP integration in FOSS apps is being discussed. I will also post about new apps that gained UnifiedPush support, and other useful tools that help with using UP
Sounds cool, subscribed! You could also share this in !opensource@programming.dev and probably some communities on lemdro.id
139
Featured Story: Dory, the the first pup to be born at the rescue centre
(mmrpatients.org)
cross-posted from: https://lemmy.ca/post/23518886
Dory is the first pup to be born at the Marine Mammal Rescue Centre. Her mother Donnelly was admitted in critical condition with severe injuries. Staff later discovered that she was pregnant and worked hard to safe both, the mother and her unborn pup. Dory was born 2 months after Donnelly's admission to the rescue centre.
Full details, photos, videos, and live tracking link: https://mmrpatients.org/patient/pv2158-dory/
Patient Profile:
Species: Harbour Seal Patient ID: PV2158 Admitted on: 2021/07/20 Collection Site: Born in Rockfish pool, MMR Reason for Admission: Born at the rescue centre Weight at Admission: 8.4 kg Patient Status: released Time in Care: 89 days (2 months, 4 weeks)
sarcasm is already hard to understand online, even harder for generative AI
I know sometimes I would take a peek at the person's comment history to see if they were well informed / a shill for the product. The AI can't do that
I've seen some dashboards around, is this what you're looking for?
At the same time, the variables in that calculation might change over time. If it becomes easy enough for them to support it, or the costs of not supporting it get too high, they might change their minds.
Alternatively: wean yourself and your friends off of snapchat. In my part of the world, snapchat isn't popular anymore. It doesn't offer anything new and so barely anyone uses it.
Another side I haven't seen mentioned
It might be easier to track users in Chrome. If even a few users open it in chrome instead of Firefox, that's a benefit for them
view more: next ›
As of 2017, the rules in Canada have been the following:
https://crtc.gc.ca/eng/contact/phone/q19.htm