#semantic
I'm not saying that semantic versioning solves all your problems, but if upgrade from 10.2.0.0 to 10.2.0.1 requires migrating databases, maybe you should consider it, it's not that bad.
#semantic #versioning #corporate #craziness #IT #DB #database
An #AI based #semantic search #development #company builds smart search #tools that understand what #users mean. They use #artificial #intelligence to find better, more accurate results. This helps #businesses like online #stores and #websites give users the right information quickly and easily.
@nickbearded have to build it, there are a few layers here and there, kind of started out as generic portal quest...we will see if i can get anything built - i may have to just sell clusters first and then hire a coding genius or two. I do not think this or the 90 pt plan are particularly unique but just have to try and follow through - get a working prototype for the rag pipelines - make it a cohesive dashboard #osint #comp intel #realtime info #portal #embeddings/token/s #federated distributed inference #semantic search
Maybe we should introduce a button in Mastodon which says:
[X] Fancy Quote
That would render text bigger, smaller, thinner, thicker or whatever makes people use f5g raster images instead.
TOSID Update:
Added formal paper presentation
https://github.com/ha1tch/TOSID/blob/main/tosid-paper.md
As PDF:
https://github.com/ha1tch/TOSID/blob/main/tosid-paper.pdf
The TOSID (Taxonomic Ontological Semantic IDentification System) is a comprehensive taxonomic framework designed to uniquely identify and classify any conceivable entity across the universe. The system uses a structured alphanumeric code that embeds hierarchical information about an entity's fundamental nature, origin, scope, and specific identity.
Latest working (non-paper) version:
https://github.com/ha1tch/TOSID/blob/main/tosid-01.md
Repo:
https://github.com/ha1tch/TOSID
#foss #semantic #taxonomy #compsci #computation #informationtheory #ontology #tosid
New Project!
The TOSID (Taxonomic Ontological Semantic IDentification System) is a comprehensive taxonomic framework designed to uniquely identify and classify any conceivable entity across the universe. The system uses a structured alphanumeric code that embeds hierarchical information about an entity's fundamental nature, origin, scope, and specific identity.
https://github.com/ha1tch/TOSID/blob/main/tosid-01.md
#foss #semantic #taxonomy #compsci #computation #informationtheory #ontology
Using the `:has()` #pseudo-class extensively in my own #css template. e.g.
```
section:has( section ) {
border-top: 1px solid #ccc
}
```
I love creating #semantic #html and just tuning the `<section>` that is a container of sub `<section>`s a bit reflects this semantic markup visually without a need to add classes.
Something to add to the 'to read' pile! A useful systematic review of #DMP #semantic #annotation techniques -- the context being that such annotation can unlock machine-actionable DMPs.
Automated Semantic Annotation of Data Management Plans: A Systematic Review https://doi.org/10.5334/dsj-2025-016 #ResearchData #OpenData #OpenResearch #OpenScience
Writing #prompts is really the same as writing rules in rule-based #NLP , just at the #semantic level instead of #syntactic #NLU #LLM #Linguistics
Chonky – a neural approach for text semantic chunking
https://github.com/mirth/chonky
#HackerNews #Chonky #Neural #Text #Chunking #Semantic #AI #MachineLearning
I love the promise of Pico CSS. ✨ 😍 https://picocss.com/ #semantic #html #css #less #lessismore
test #semantic
SciTech Chronicles. . . . . . . . .April 5th, 2025
#mouse #allergens #inflammation #RORγt+ #pharmacology #Osmanthus #LLM #5-MeO-MiPT #Artemis #regolith #ultrathin #efficiency #breakup #Africa #Angola #cooling #Congo #semantic #structures #multidimensional
#ITByte: A #Semantic #Data #Layer is a metadata and abstraction layer that manages the relationships between data attributes to create a business view.
A semantic layer can help companies monetize their data and make accurate business decisions by aggregating multiple data sources.
https://knowledgezone.co.in/posts/Semantic-Data-Layer-642a7d8329dfcd4a107ff990
📢 New Paper Alert!
Using Citizen Science Data as Pre-Training for #Semantic #Segmentation of High-Resolution #UAV Images for Natural #Forests Post-Disturbance Assessment
Paper 📄: https://doi.org/10.3390/f16040616
Blog post 🌐: https://damienlarocque.gitlab.io/blog/forests2025
Code 💻: https://github.com/norlab-ulaval/droneSegmentation
#Defense Secy #PeteHegseth did not apologize Wednesday for disclosing on a #Signal chat what time American fighter jets were taking off & launching strikes against #Iran-backed #Houthis in #Yemen. Instead he relied on the #semantic argument that his disclosures, which also relayed specific times that a “strike window” for F-18s would begin in a chat that inadvertently included a journalist, were not “war plans.”
#NationalSecurity #Trump #Republicans #law #SignalGate #idiocracy #kakistocracy
Il y a 15 ans (février 2010) j'ai refait le site de @plugfr en appliquant ce qui me semblait alors du bon sens en termes de design : https://plugfr.org/
Je découvre qu'on appelle ça le style « brutaliste », en lien avec la tendance architecturale du même nom : https://brutalist-web.design/ #webdesign #semantic #brutalist
Нейросети для семантической сегментации: U-Net, LinkNet, PSPNet
Всем привет! Недавно я закончил один из этапов собственного проекта, в котором я провел сравнительный анализ 3 одних из самых известных нейросетей для семантической сегментации: U-Net, LinkNet, PSPNet. Теперь я хочу поделиться со всеми, чтобы в случае, если кто-то захочет сделать что-то подобное или ему просто понадобится, то он не искал весь интернет, как я, а легко и просто все нашел. В конце главы каждый нейросети я оставил ссылки на оригинальные статьи для желающих самостоятельно все изучить (на английском). Ссылка на мой GitHub с полноценной версией всех нейросетей и main файла в конце статьи. Я расскажу кратко о подготовке входных данных перед тем, как подавать их в нейросеть, а также объясню самые важные детали каждой модели по отдельности. Использовал я библиотеку Tensorflow, а обучение проводил в среде Google Colab.
https://habr.com/ru/articles/893122/
#LinkNet #Unet #PSPNet #ML #AI #Python #Tensorflow #Training #Semantic #Segmentation