Linear Algebra

Feeds to Scour
SubscribedAll
Scoured 143 posts in 8.8 ms

The Math Needed for AI/ML (Complete Roadmap)

 🔵Julia  Content type: Video
youtube.com·

Hybrid Search for RAG: Fix Retrieval Accuracy in AI

 🔗Link Curation  Content type: Blog
pingcap.com·

Elements of Cryptanalysis: From Al-Kindi to Post-Quantum Standards — Elements of Cryptanalysis: From Al-Kindi to Post-Quantum Standards

 📊Data Science

What an LLM Actually Does With Your Prompt First

 🧠Spaced Repetition
siliconopera.com·

Defeat the Heap: Zero-Copy Data Movement in AXI4MLIR

 🔵Julia  Content type: Academic
arxiv.org··Hacker News

HNSW vs LSH: How Elasticsearch hits 0.99 recall@10 at 15,000 QPS — and what it costs

 🔵Julia  Content type: Blog
elastic.co·

Algebraic Cryptanalytic Extraction on Hard-Label Neural Networks

 🔵Julia
eprint.iacr.org·

Apple WWDC On-Device AI Deep Dive - Google Docs

 🔵Julia
gist.is··Hacker News

D4M: Dynamic Distributed Dimensional Data Model

 🔵Julia  Content type: Academic
d4m.mit.edu··Hacker News

Contexto Answer Today June 8 2026: Puzzle #1359 Solution, Hints, and Full Semantic Breakdown

 🧠Spaced Repetition
easternherald.com·

Introducing SQL Data Insights Pro

 📊Data Science  Content type: Blog
research.ibm.com·

List StarWhisper on Hacker News (Show HN)

 🔵Julia  Content type: Discussion

How LLMs Actually Work: A Friendly Map for Humans • oreoro

 🧠Spaced Repetition

Welcome to Machine Learning With Manya: The Ultimate Adventure Map!

 📊Data Science  Content type: Blog
medium.com·

I stopped using most of Rust’s advanced features for my ML library

 🔵Julia  Content type: Code
github.com··r/rust

The Read Model Zoo: Projections Beyond Tables - EventSourcingDB

 📊Data Science  Content type: Blog  Content type: Reference

Analysis of Metastable States in the Transformer Activation Space

 🌀Nonlinear Dynamics
lesswrong.com·

You Can Finally Measure Content Alignment. That’s The Dangerous Part via @sejournal, @DuaneForrester

 🧠Spaced Repetition

Local density of states distribution and multifractal eigenvectors of weighted random networks via the cavity approach

 📊Data Science  Content type: Academic
arxiv.org·

Ontologies for the Agentic Web

 🧠Philosophy  Content type: Blog
wordlift.io·

Keyboard Shortcuts

Navigation

Next / previous item
j/k
Open post
oorEnter
Preview post
v

Post Actions

Love post
a
Like post
l
Dislike post
d
Undo reaction
u
Save / unsave
s

Recommendations

Add interest / feed
Enter
Not interested
x

Go to

Home
gh
Interests
gi
Feeds
gf
Likes
gl
History
gy
Changelog
gc
Settings
gs
Browse
gb
Search
/

General

Show this help
?
Submit feedback
!
Close modal / unfocus
Esc

Press ? anytime to show this help