A new tool helps researchers track Australia's genomic biodiversity
phys.org·22h
🧬Bitstream Evolution
Self-hosted slippy maps, for novices (like me)
blog.apps.npr.org·6h·
Discuss: Hacker News
🦋Format Metamorphosis
Show HN: SQLite AI - Open-Source Extensions to Bring AI to SQLite, Everywhere
news.ycombinator.com·16h·
Discuss: Hacker News
💾SQLite
Use Qwen3-Coder (Or Any Other LLM) with Claude Code
old.reddit.com·12h·
Discuss: r/LocalLLaMA
🔒Linear Types
Vector Databases for Data Scientists: What, Why, and When to Use Them
dev.to·1d·
Discuss: DEV
🗂️Vector Databases
CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation
arxiv.org·1h
📐Projective Geometry
A tissue and cell-level annotated H&E and PD-L1 histopathology image dataset in non-small cell lung cancer
arxiv.org·1h
📲Digitization
Optimize Golang Cryptographic Performance: Hardware Acceleration and Parallel Processing Techniques for 8x Speed Gains
dev.to·11h·
Discuss: DEV
🌊Stream Ciphers
Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors
arxiv.org·1h
👁️Perceptual Hashing
A generic non-invasive neuromotor interface for human-computer interaction
nature.com·13h·
Discuss: Hacker News
✋Tactile Computing
Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning
arxiv.org·1h
⚔️Lean Tactics
Optimizing Tool Selection in LLM Workflows(Part 2): A DSPy and PyTorch Benchmark
viksit.substack.com·8h·
Discuss: Substack
✨Effect Handlers
Exploring the Frontiers of kNN Noisy Feature Detection and Recovery for Self-Driving Labs
arxiv.org·1h
🧠Machine Learning
Kernel
web.cs.wpi.edu·6h·
Discuss: Lobsters, Hacker News
💧Liquid Types
Torchvista: Building an Interactive Pytorch Visualization Package for Notebooks
towardsdatascience.com·11h
🦀Rust Macros
The Decade of Deep Learning (2019)
bmk.sh·10h·
Discuss: Hacker News
🧠Machine Learning
Machine Learning Fundamentals: feature engineering project
dev.to·13h·
Discuss: DEV
🧠Machine Learning
Leveraging Knowledge Graphs and LLM Reasoning to Identify Operational Bottlenecks for Warehouse Planning Assistance
arxiv.org·1h
🔗Constraint Handling
CLAMP: Contrastive Learning with Adaptive Multi-loss and Progressive Fusion for Multimodal Aspect-Based Sentiment Analysis
arxiv.org·1h
📄Text Segmentation
ResidualPlanner+: a scalable matrix mechanism for marginals and beyond
arxiv.org·1h
🧠Query Planners