Built upon the weak-supervision framework Snorkel from hazyresearch , Fonduer is a powerful framework for extracting knowledge from documents and making them structured. Wanna know more? Tutorials are available at github.com/HazyResearch/f…

To what extent can we match proposed architectural modifications for incorporating knowledge, using only simple changes to the data? How can we understand why data modifications will be effective? Sen Wu hazyresearch and I explore these questions in: arorasimran.com/static/media/M…

Excited to share our paper “Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text,” which appeared this week at #EMNLP2021! Paper: arxiv.org/abs/2110.08228 Code: github.com/HazyResearch/m… Data: huggingface.co/datasets/mvarm…

Thrilled about our excellent teamwork with MotherDuck Till Döhmen Laurel Orr ! Can't wait to see how much the community benefits from this open-source model!

Numbers Station Labs is extremely excited to release Meadow, the first and simplest agentic framework built for complete data workflows. Meadow is fully open source! 🪴💪🏼 Results against benchmarks below 🧵↓ numbersstation.ai/introducing-me…

2024 was all about momentum. 🚀 We turned questions into answers, saved hours that felt impossible to reclaim, and let our agents do what they do best: turn raw data into real impact. In 2025, we're raising the bar again. Here’s to making 2025 even smarter, faster, and more

Google introduces the biggest algorithm change in three years gu.com/p/3j53c/tw via The Guardian

Original iPhone radio engineer details the heart pounding moments that lead up to the Steve Jobs iPhone announcement 9to5mac.com/2013/10/04/ori…

Most Influential Emotions on Social Networks Revealed techre.vu/17DnJcH >@TechReview

New blog post - Structure Learning: Are Your Sources Only Telling You What You Want to Hear? hazyresearch.github.io/snorkel/blog/s…

Get hyperbolic about your relationships! Exploring the limits of embedding your databases, graphs, and structures in low dimensions using hyperbolic embeddings: stanford.io/2u1tvtE bit.ly/2DDFr4k

Super excited to release #HoloClean as an open source project under Apache license. #MLforDataEnrichment. Check it out and download from holoclean.io. proud to be part of this awesome team.