Latest posts

• 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 with weak supervision, and utilizing organizational… ...
• 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… ...
• Measuring NLP Progress With Sebastian Ruder
  March 10, 2021Team Snorkel
  - In this episode of Science Talks, Sebastian Ruder, Research Scientist at DeepMind, shares his thoughts on making AI practical with Snorkel AI’s Braden Hancock. This conversation covers progress made in the NLP domain with emerging research, new benchmarks like SuperGLUE, rich repositories and news sources that keep you in the… ...
• Productionizing ML Research With Thomas Wolf
  February 5, 2021Team Snorkel
  - In this episode of ScienceTalks, Snorkel AI’s Braden Hancock Hugging Face’s Chief Science Officer, Thomas Wolf. Thomas shares his story about how he got into machine learning and discusses important design decisions behind the widely adopted Transformers library, as well as the challenges of bringing research projects into production. ScienceTalks… ...