Strengthening national cyber resilience through observability and threat hunting
ncsc.gov.uk·1d
🎯Threat Hunting
Thinking on upgrade my "microlab"
preview.redd.it·11h·
Discuss: r/homelab
🖥Home Lab Setup
Efficient and accurate search in petabase-scale sequence repositories
nature.com·17h·
Discuss: Hacker News
🔄Burrows-Wheeler
AI and Deep Learning Accelerators Beyond GPUs in 2025
bestgpusforai.com·10h·
Discuss: Hacker News
⚡Homebrew CPUs
Real Programmers Don't Use Pascal (1982)
ee.torontomu.ca·9h·
Discuss: Hacker News
🏗️Compiler Archaeology
Fun with HyperLogLog and SIMD
vaktibabat.github.io·4d·
Discuss: Hacker News, r/rust
📊HyperLogLog
All in on MatMul? Don’t Put All Your Tensors in One Basket!
sigarch.org·19h·
Discuss: Hacker News, r/programming
⚡Homebrew CPUs
AI Agent Building Block: Native App Automation
dev.to·5h·
Discuss: DEV
⚡Proof Automation
The Hidden Oracle Inside Your AI: Unveiling Data Density with Latent Space Magic by Arvind Sundararajan
dev.to·7h·
Discuss: DEV
🧠Machine Learning
Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents
arxiv.org·3d
🔍Concolic Testing
A Trustworthy Industrial Fault Diagnosis Architecture Integrating Probabilistic Models and Large Language Models
arxiv.org·2d
🧠Machine Learning
LLMs as Policy-Agnostic Teammates: A Case Study in Human Proxy Design for Heterogeneous Agent Teams
arxiv.org·1d
🔲Cellular Automata
MaNGO - Adaptable Graph Network Simulators via Meta-Learning
arxiv.org·1d
🕸️Tensor Networks
Detecting Invariant Manifolds in ReLU-Based RNNs
arxiv.org·2d
🌀Riemannian Computing
Guide to OCI AI Certification: From Machine Learning Basics to Advanced Neural Networks
dev.to·19h·
Discuss: DEV
🤖Advanced OCR
Inductive inference of gradient-boosted decision trees on graphs for insurance fraud detection
arxiv.org·1d
🧠Machine Learning
Less is More: Recursive Reasoning with Tiny Networks
arxiv.org·2d·
Discuss: Hacker News, r/LocalLLaMA
🧠Intelligence Compression
Inverse Mixed-Integer Programming: Learning Constraints then Objective Functions
arxiv.org·2d
📈Linear programming
The fragility of "cultural tendencies" in LLMs
arxiv.org·1d
🧮Theoretical Computer Science
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·23h·
Discuss: DEV
📊Multi-vector RAG