China’s Premier Takes Aim at AI ‘Monopoly’ as US Effort Quickens
bloomberg.com·1d
🇨🇳Chinese Computing
Spanish Proficiency Exercises (CC-BY)
laits.utexas.edu·4h·
Discuss: Hacker News
📝Parsing Grammars
Bloom's Digital Taxonomy Verbs
pivot.umbc.edu·16h·
Discuss: Hacker News
🏛Digital humanities
The First Large Visual Memory Model
memories.ai·2d·
Discuss: Hacker News
📼Tape Emulation
Implementing Bloom Filters in C (2022)
andreinc.net·1d·
Discuss: Hacker News
🌸Bloom Filters
Meta names Shengjia Zhao as chief scientist of AI superintelligence unit
techcrunch.com·1d·
Discuss: Hacker News
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
Ohm: A JavaScript library and PEG-based language for building parsers
github.com·17h·
Discuss: Hacker News
📝ABNF Parsing
Is AI ‘The Ultimate Version of Google,’ As Larry Page Wanted?
thenewstack.io·2d
🧭Content Discovery
Pew finds that only 1 percent of users click a source link directly from Google's AI Overviews
the-decoder.com·3d
📊Feed Optimization
BrisT1D Dataset: Young Adults with Type 1 Diabetes in the UK using Smartwatches
arxiv.org·2d
🔗Data Provenance
"Book" recommendation software
dev.to·3d·
Discuss: DEV
🔬Academic Search
10 Best LangChain Alternatives You Must Know in 2025
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
User Invariant Preference Learning for Multi-Behavior Recommendation
arxiv.org·5d
🎛️Feed Filtering
Who Leads in the Shadows? ERGM and Centrality Analysis of Congressional Democrats on Bluesky
arxiv.org·3d
🕸️Graph Embeddings
Wikidata’s next leap: the open database powering tomorrow’s AI and Wikipedia
techradar.com·3d
🏛Wikidata
Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty
arxiv.org·4d
🧠Intelligence Compression
My Deep Learning Journey with Andrew Ng
dev.to·1d·
Discuss: DEV
🧠Machine Learning
Research shows Google AI Overviews reduce website clicks by almost half
arstechnica.com·4d·
Discuss: Hacker News, Hacker News, r/technews
📊Feed Optimization
Data Engineering in the Age of AI: Skills To Master Now
thenewstack.io·1d
🌊Stream Processing
A Supervised Machine Learning Framework for Multipactor Breakdown Prediction in High-Power Radio Frequency Devices and Accelerator Components: A Case Study in P...
arxiv.org·2d
🧠Machine Learning