Subconscious Proxy@adlrocha - What if AI doesn’t need more RAM but better math? https://adlrocha.substack.com/p/adlrocha-what-if-ai-doesnt-need-more
Craig Brown, PhDSelf-Healing Neural Networks in PyTorch: Fix Model Drift in Real Time Without Retraining https://towardsdatascience.com/self-healing-neural-networks-in-pytorch-fix-model-drift-in-real-time-without-retraining/?utm_source=dlvr.it&utm_medium=mastodon #DataScience #ArtificialIntelligence #MachineLearning
Self-Healing Neural Networks in PyTorch: Fix Model Drift in Real Time Without Retraining https://towardsdatascience.com/self-healing-neural-networks-in-pytorch-fix-model-drift-in-real-time-without-retraining/?utm_source=dlvr.it&utm_medium=mastodon #DataScience #ArtificialIntelligence #MachineLearning
Dennis Alexis Valin Dittrichrobscale 0.5.3 is now on CRAN: A major update since the last public release (0.2.1).
New: 11 robust estimators with confidence intervals, plus a variance-weighted ensemble combining seven scale statistics via bootstrap. Newton–Raphson replaces scoring iteration (2–4 steps vs 6–8), a fused AVX2 kernel does NR accumulation in one data pass, and all input validation runs in C++ with zero R-side allocation.
Speedups vs existing implementations:
Small samples (n ≤ 20):
• robScale/robLoc: 4–5× vs revss 3.1.0
• Qn: 6× vs robustbase
• MAD: 21–26× vs stats::mad
• IQR: 37× vs stats::IQR
Mid-to-large samples (n ≥ 1000):
• robScale: 2–4× vs revss
• Sn: 7–9× vs robustbase
• MAD: 5–8× vs stats::mad
• IQR: 5–7× vs stats::IQR
• GMD: 2–8× vs GiniDistance
https://cran.r-project.org/package=robscale
https://github.com/davdittrich/robscale
#RStats #Statistics #RobustStatistics #CRAN #DataScience #OpenSource
Harald KlinkePositron 2026.03.0 is out — and it’s getting seriously good for real data workflows.
✨ Reliable step-by-step execution in R (finally!)
📄 Built-in PDF viewer (no more context switching)
📓 Notebook editor evolving: interactive data grids, better cell control, Jupyter-like UX
This is moving beyond “just an IDE” → toward an integrated data + analysis environment.
https://positron.posit.co/release-notes.html
#rstats #datascience #positron #quarto #ai
input📰 Your Photos Are Probably Giving Away Your Location. Here’s How to Stop That
All your snaps come with metadata containing more information than you might realize.
📰 Source: Feed: All Latest
🔗 Archive: https://web.archive.org/web/https://www.wired.com/story/how-to-stop-your-photos-giving-away-your-location/
Federica GazzelloniJoin me at The roots of AI: Natural Language Processing & N-gram models https://meetu.ps/e/PWj5g/RQcH8/i
👩🏼💻When: April 23, 2026 7pm CET
What we’ll do: guess the next word with an NGRAM model - while figuring out the big picture 🔨
#ai #llm #AIEngineering #AIAgents #GenAI #MachineLearning #DataScience
DKZ.2RStuck on a data problem in your research project? Not sure which tool or method fits?
Our Rent-an-Expert program matches you with a data specialist who works alongside you — tailored support for your specific challenge, not a generic tutorial.
Free for researchers in the Rhine-Ruhr region.
👉 https://dkz2r.de/activities_offers/consulting/
#DataScience #ResearchSupport #Consulting #DataLiteracy
— bos
🤖 Persistent memory changes how people interact with AI — here's what I'm observing
I run a small AI companion platform and wanted to share some interesting behavioral data from users who've been using persistent cross-session memory for 2-3 months now. Some patterns I didn't expe...
📰 Source: Artificial Intelligence (AI)
🔗 Link: https://www.reddit.com/r/artificial/comments/1s6jvog/persistent_memory_changes_how_people_interact/
hbrpgmKI-Expertenwissen trifft Plattformstrategie
