New Group Selection in the On Demand Comparison Report And New On Demand Analytics Report
cdlib.org·1d
🏛️OAIS Implementation
The Planet Is Warming, But Our Speech Has Chilled
battellemedia.com·1d
🌡️Preservation Physics
Researchers Map Where Solar Energy Delivers the Biggest Climate Payoff
hardware.slashdot.org·11h
⚡Incremental Computation
Show HN: A Virtual friend that checks up on you, every morning
jurnai.site·18m·
Discuss: Hacker News
📡RSS Readers
The Jackpot Age
greaterwrong.com·5h·
Discuss: Hacker News
🔲Cellular Automata
Applications That Work with Motif/Lesstif (2005)
lesstif.sourceforge.net·8h·
Discuss: Hacker News
📟Terminal Typography
We Replaced ETL with MCP
rashidazarang.com·1d·
Discuss: Hacker News
🔌Interface Evolution
The /o in Ruby regex stands for “oh the humanity!”
jpcamara.com·6h·
Discuss: Lobsters, Hacker News
🧪Binary Fuzzing
[P] FOMO(Faster Objects, More Objects)
reddit.com·3d·
Discuss: r/MachineLearning
🌸Bloom Variants
Zero to Mastery: [July 2025] Python Monthly Newsletter 🐍
zerotomastery.io·2d
⚡Homebrew CPUs
Fixed-Point-Oriented Programming: A Concise and Elegant Paradigm
arxiv.org·3d
💻Programming languages
How Nippon India Mutual Fund improved the accuracy of AI assistant responses using advanced RAG methods on Amazon Bedrock
aws.amazon.com·4d
📥Feed Aggregation
BuildSTG: A Multi-building Energy Load Forecasting Method using Spatio-Temporal Graph Neural Network
arxiv.org·4d
🗜️Graph Compression
DepMicroDiff: Diffusion-Based Dependency-Aware Multimodal Imputation for Microbiome Data
arxiv.org·1d
🧠Machine Learning
Observing and evaluating AI agentic workflows with Strands Agents SDK and Arize AX
aws.amazon.com·1d
🌊Stream Processing
Memorization in Fine-Tuned Large Language Models
arxiv.org·4d
💻Local LLMs
Charting the Course: Future Innovations for NFT Marketplace dApp
hackernoon.com·3d
🌊Streaming Systems
Automatic Classification of User Requirements from Online Feedback -- A Replication Study
arxiv.org·3d
📊Feed Optimization
MAGIC: A Multi-Hop and Graph-Based Benchmark for Inter-Context Conflicts in Retrieval-Augmented Generation
arxiv.org·3d
📇Dublin Core
Structured Parsing Is the Key to Making LLMs Work on Large Codebases
hackernoon.com·4d
🌳Incremental Parsing