Latest posts

  • How to Use Snorkel to Build AI Applications
    July 9, 2021Braden Hancock
    - The how, what, and why of Snorkel’s programmatic data labeling approach and the state-of-the-art Snorkel Flow platform. The year was 2015. For the first time, machine learning (ML) had outperformed humans in the annual ImageNet challenge. ...
  • Multi-Resolution Weak Supervision for Sequential Data
    June 25, 2021Team Snorkel
    - Machine Learning Whiteboard (MLW) Open-source Series Our machine learning whiteboard (MLW) is 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 discovering more about machine learning.In this episode, Hiromu Hota,… ...
  • Weak Supervision in Biomedicine
    June 16, 2021Team Snorkel
    - In this episode of Science Talks, Snorkel AI’s Braden Hancock chats with Jason Fries - a research scientist at Stanford University’s Biomedical Informatics Research lab and Snorkel Research, and one of the first contributors to the Snorkel open-source library. We discuss Jason’s path into machine learning, empowering doctors and scientists… ...
  • Training Classifiers With Natural Language Explanations
    May 24, 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… ...
  • Applying Information Theory to ML With Fred Sala
    May 19, 2021Team Snorkel
    - In this episode of Science Talks, Frederic Sala - an assistant professor of Computer Science at the University of Wisconsin Madison and a research scientist at Snorkel discusses his path into machine learning, the central thesis that ties together his multidisciplinary research, his thoughts on the future of weak supervision,… ...
  • 3 Impractical Assumptions About AI to Avoid
    May 4, 2021Braden Hancock
    - Impractical ML assumptions are made every day in research, which limit its adoption. In the real world, these assumptions do not hold up. Learn more about how to avoid making these assumptions about AI application development. ...
  • Building Industrial-Strength NLP Applications With Ines Montani
    April 29, 2021Team Snorkel
    - In this episode of Science Talks, Explosion AI’s Ines Montani sat down with Snorkel AI’s Braden Hancock to discuss her path into machine learning, key design decisions behind the popular spaCy library for industrial-strength NLP, the importance of bringing together different stakeholders in the ML development process, and more.This episode… ...
  • Introducing Application Studio and Announcing Our $35m Series B Funding
    April 5, 2021Alex Ratner
    - Over the past year, we’ve worked hard to deliver Snorkel Flow, the first AI platform to provide all the power of machine learning without the pains of hand-labeling. Snorkel Flow lets you label data programmatically, train models flexibly, improve performance iteratively, and deploy AI applications quickly. We are incredibly proud… ...
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