• Machine Learning Production Myths
    December 23, 2020Chip Huyen
    - Takeaways from MLSys Seminars with Chip HuyenIn November, I had the opportunity to come back to Stanford to participate in MLSys Seminars, a series about Machine Learning Systems. It was great to see the growing interest of the academic community in building practical AI applications. Here is a recording of… ...
  • Meet a Snorkeler at an Upcoming Event
    November 17, 2020Team Snorkel
    - We love meeting people in the data science and machine learning community. Here are a few upcoming events where you can meet Snorkelers. ...
  • How to Overcome Practical Challenges for AI in Healthcare
    November 9, 2020Brandon Yang
    - There’s a lot of excitement about the potential for AI to improve healthcare. This is driven by compelling advances across a wide range of applications including drug discovery, radiology, pathology, electronic medical record (EMR) intelligence, clinical trials, and more. There are also many challenges for development and deployment of AI… ...
  • Every Vote Counts
    October 12, 2020Team Snorkel
    - Our mission at Snorkel AI is to make artificial intelligence practical with an end-to-end machine learning platform that focuses centrally on training data. Our technology has been used for incredibly important efforts – from solving medical challenges with Stanford Medicine to identifying prejudiced language in social media. We’re just getting… ...
  • Snorkel AI Welcomes Devang Sachdev as Vice President of Marketing
    July 28, 2020Alex Ratner
    - We are inventing a new way to build enterprise AI applications. Taking a data-centric approach, we are making machine learning iterable, faster to deploy, and ultimately more practical.That is a fantastic opportunity, but it also presents one of our biggest challenges - figuring out how to bridge the gap between… ...
  • Snorkel AI: Putting Data First in ML Development
    July 14, 2020Alex Ratner
    - Today I’m excited to announce Snorkel AI’s launch out of stealth! Snorkel AI, which spun out of the Stanford AI Lab in 2019, was founded on two simple premises: first, that the labeled training data machine learning models learn from is increasingly what determines the success or failure of AI applications. And… ...
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