A Mile-Deep Detector Hints at the Universe’s Darkest Secret
scitechdaily.com·18h
⚛️Quantum Tape
Nix pills
nixos.org·2d
❄️Nixpkgs
Souvenir
deprogrammaticaipsum.com·1d
🔩Systems Programming
Language Support for Marginalia Search
marginalia.nu·1d
🔍BitFunnel
The best Prime Day SSD deals: Save on gear from Samsung, SanDisk, Crucial and others
engadget.com·2h
💽MiniDisc Technology
Practical ZFS Performance Tuning: ARC, L2ARC, and SLOG Explained
discoverbsd.com·1d
🔍eBPF
Building Effective Text-to-3D AI Agents: A Hybrid Architecture Approach
addy.rocks·1d·
Discuss: Hacker News
🧮SMT Solvers
Achieving 1.2 TB/s Aggregate Bandwidth by Optimizing Distributed Cache Network
juicefs.com·1d·
Discuss: Hacker News
📡Network Stack
Llmswap: Avoid LLM vendor lock-in – 10 providers with top LMArena models
github.com·2d·
Discuss: Hacker News
🌀Brotli Internals
Unlock Peak Model Performance: MINERVA's Surprisingly Simple Feature Selection by Arvind Sundararajan
dev.to·23h·
Discuss: DEV
🧠Machine Learning
Adaptive and Explainable AI Agents for Anomaly Detection in Critical IoT Infrastructure using LLM-Enhanced Contextual Reasoning
arxiv.org·5h
⚙️TLA+
PRISM-Physics: Causal DAG-Based Process Evaluation for Physics Reasoning
arxiv.org·1d
✨Effect Handlers
Retrv-R1: A Reasoning-Driven MLLM Framework for Universal and Efficient Multimodal Retrieval
arxiv.org·1d
🗂️Vector Search
TROLL: Trust Regions improve Reinforcement Learning for Large Language Models
arxiv.org·5h
🧮Kolmogorov Bounds
Read Between the Lines: A Benchmark for Uncovering Political Bias in Bangla News Articles
arxiv.org·5h
⚙️Compression Benchmarking
Bamboo: LLM-Driven Discovery of API-Permission Mappings in the Android Framework
arxiv.org·5h
🔒WASM Capabilities
A Noise Resilient Approach for Robust Hurst Exponent Estimation
arxiv.org·5h
🧠Machine Learning
Domain-Robust Marine Plastic Detection Using Vision Models
arxiv.org·5h
📐Projective Geometry
PEaRL: Pathway-Enhanced Representation Learning for Gene and Pathway Expression Prediction from Histology
arxiv.org·5h
📐Vector Dimensionality
CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration
arxiv.org·1d
🎛️Feed Filtering