\(-e^{i\pi}\) to Watch: Henry Segerman
aperiodical.com·3h
📐Mathematical Art
A new look at twin reduction
cameroncounts.wordpress.com·27m
🔗Graph Isomorphism
One misclick away: How I found a critical vulnerability in a dating app
hame.page·5h·
Discuss: Hacker News
🚀Indie Hacking
Using AMD MI300X for High-Throughput, Low-Cost LLM Inference
herdora.com·1d·
Discuss: Hacker News
⚡Performance Mythology
A Versatile Dataset of Mouse and Eye Movements on Search Engine Results Pages
arxiv.org·8h
📊Search Ranking
Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift
arxiv.org·8h
🤐Secure Multiparty
Machine Learning Fundamentals: data augmentation tutorial
dev.to·1d·
Discuss: DEV
📊Feed Optimization
A Practical Two-Stage Recipe for Mathematical LLMs: Maximizing Accuracy with SFT and Efficiency with Reinforcement Learning
arxiv.org·8h
💻Local LLMs
Machine Learning Fundamentals: data augmentation with python
dev.to·1d·
Discuss: DEV
⚡Incremental Computation
What birdsong and backends can teach us about magic
digitalseams.com·21h·
Discuss: Hacker News
⛏️File Carving
3D forest semantic segmentation using multispectral LiDAR and 3D deep learning
arxiv.org·8h
🏺Computational Archaeology
🚀 Mastering NumPy: From Basics to Expert Tricks
dev.to·22h·
Discuss: DEV
📊APL Heritage
Beyond Scale: Small Language Models are Comparable to GPT-4 in Mental Health Understanding
arxiv.org·8h
🧮Kolmogorov Complexity
Maneuver Detection via a Confidence Dominance Maneuver Indicator
arxiv.org·8h
📊PCAP Analysis
Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing
arxiv.org·3d
📐Linear Algebra
Refactoring 030 - How to Avoid Accidental Redundancy
hackernoon.com·23h
🔓Reverse engineering
Build Real-Time Codebase Indexing for AI Coding agents
dev.to·1d·
Discuss: DEV
🌳Incremental Parsing
Lightweight Safety Guardrails via Synthetic Data and RL-guided Adversarial Training
arxiv.org·8h
💻Local LLMs
Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning
arxiv.org·8h
🕸️Tensor Networks
Analysis of Propaganda in Tweets From Politically Biased Sources
arxiv.org·8h
📥Feed Aggregation