Latest posts

• Building Malleable Machine Learning (ML) Systems
  September 22, 2021Team Snorkel
  - Defining and Building Malleable ML Systems - Machine Learning Whiteboard (MLW) Open-Source Series As you may know, earlier this year, we started our machine learning whiteboard (MLW) series, an open-invite space to brainstorm ideas and discuss the latest papers, techniques, and workflows in the AI space. We emphasize an informal… ...
• Web Virtualization — Optimizing Data-Intensive App Performance
  September 16, 2021Shubham Naik
  - Frontend Development Best Practices for Working With Lots of Data From Snorkel AI Engineering As a frontend engineer, it's often easy to run into limitations when scaling large applications. At Snorkel AI, we often run into times where our users work with data that scales into the gigabytes when using… ...
• Multi-Label Classification, Sequence Labeling, and More
  September 15, 2021Patrick Kolencherry
  - Snorkel Flow LTS Release Summer ‘21 By adopting Snorkel Flow, a data-centric AI development platform powered by programmatic labeling, our customers have changed how they build and deploy AI applications. We've seen our customers save tens-of-millions of dollars in manual labeling costs and person-years of time by applying weak supervision… ...
• Applying Weak Supervision Research
  September 13, 2021Team Snorkel
  - ScienceTalks with Paroma Varma In this episode of Science Talks, Snorkel AI’s Braden Hancock chats with Paroma Varma – a co-founder of Snorkel AI and one of the first and leading contributors to the Snorkel project. We discuss Paroma’s path into machine learning, her work in optimization and signal processing… ...
• Sliceline: Fast, Linear-Algebra-Based Slice Finding for ML Model Debugging
  September 8, 2021Team Snorkel
  - Diving Into SliceLine - Machine Learning Whiteboard (MLW) Open-source Series Earlier this year, we started our machine learning whiteboard (MLW) series, an open-invite space to brainstorm ideas and discuss the latest papers, techniques, and workflows in the AI space. We emphasize an informal and open environment to everyone interested in… ...
• The Future of Data-Centric AI – Virtual Live Event
  August 31, 2021Team Snorkel
  - Join the live discussion. Learn how to unlock data-centric AI and make AI development practical in your organization Working with vast unstructured and unlabeled data is one of the bottlenecks in the machine learning lifecycle. Machine learning models can only get as reliable and accurate as the data being fed… ...
• Snorkel AI Raises $85m Series C at $1b Valuation for Data-Centric AI
  August 9, 2021Alex Ratner
  - We started the Snorkel project at the Stanford AI lab in 2015 around two core hypotheses: ...
• Developing and Managing Systems to Extract Structured Data
  August 2, 2021Team Snorkel
  - Machine Learning Whiteboard (MLW) Open-source Series Earlier this year, we started our machine learning whiteboard (MLW) series, an open-invite space to brainstorm ideas and discuss the latest papers, techniques, and workflows in the AI space. We emphasize an informal and open environment to everyone interested in learning about machine learning.In… ...