• 3 ways to use Snorkel’s Labeling Functions
    June 24, 2022Nic Acton
    - Labeling functions are fundamental building blocks of programmatic labeling that encode diverse sources of weak labeling signals to produce high-quality labeled data at scale. Let’s start with the core motivation for labeling functions: over time, every major commercial organization and government agency builds various valuable, often bespoke knowledge resources. These… ...
  • Clinical entity classification in electronic health records
    June 17, 2022Nazanin Makkinejad
    - Research recap: Ontology-driven weak supervision for clinical entity classification in electronic health records (EHRs)  In this post, I have summarized the research published in this academic paper, Ontology-driven weak supervision for clinical entity classification in electronic health records by Jason Fries et al. This paper was published in Nature Communications… ...
  • Building AI models for financial document processing best practices
    June 15, 2022Hoang Tran
    - Highlighting the best practices for building and deploying AI models for financial document processing applications AI has massive potential in the financial industry. Building AI models to automate information extraction, fraud detection, and compliance monitoring can provide efficient and faster responses and support repurposing domain experts' labor to more meaningful… ...
  • Trustworthy AI, image by Tara Winstead The benefits of programmatic labeling for trustworthy AI
    June 9, 2022Team Snorkel
    - The following post is based on a talk discussing the benefits of programmatic labeling for trustworthy AI, which was presented as part of the Trustworthy AI: A Practical Roadmap for Government event that took place this past April, with Snorkel AI Co-founder and Head of Technology, Braden Hancock. If you… ...
  • Sharon Li portrayed Uncovering the unknowns of deep neural networks by Sharon Li
    June 8, 2022Team Snorkel
    - Learning about the challenges and opportunities behind deep neural networks  In this talk, Assistant Professor in Computer Science Sharon Li shares some exciting work about uncovering the unknowns of deep neural networks. She also shares some exciting challenges and opportunities in this domain. If you would like to watch Sharon’s… ...
  • Named entity extraction and recognition with Snorkel Flow
    June 7, 2022April Guo
    - If you were ever amazed at how Google accurately finds the answer to your question just by a few keywords, you’ve witnessed the power of named entity recognition (NER). By quickly and accurately identifying different entities in a sea of unstructured articles, like names of people, places, and organizations, the… ...
  • James Zou portrayed A data-centric perspective on trustworthy and interpretable AI
    June 6, 2022Team Snorkel
    - The future of data-centric AI talk series In this talk, Assistant Professor of Biomedical Data Science at Stanford University, James Zou, discusses the work he and his team have been doing from a data-centric perspective to trustworthy and interpretable AI. If you would like to watch James’ presentation, we have… ...
  • Snorkel AI frequently asked questions about AI development with Snorkel Flow, the data-centric AI platform for enterprise AI Government keynote presentation by FBI CTO Gregory Ihrie
    June 4, 2022Team Snorkel
    - Gregory Ihrie is the Chief Technology Officer for the FBI, responsible for technology, innovation, and strategy. He also leads the FBI’s efforts in advancing the bureau’s management, policy, and governance of AI systems. Ihrie chairs the FBI’s Scientific Working Group on Artificial Intelligence, as well as the Department of Justice’s… ...
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