• Algorithms that leverage data from other tasks with Chelsea Finn
    March 31, 2022Team Snorkel
    - The Future of Data-Centric AI Talk Series Background Chelsea Finn is an assistant professor of computer science and electrical engineering at Stanford University, whose research has been widely recognized, including in the New York Times and MIT Technology Review. In this talk, Chelsea talks about algorithms that use data from… ...
  • Snorkel AI welcomes industry leaders to the team
    March 21, 2022Alex Ratner
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  • Learning with imperfect labels and visual data with Anima Anandkumar
    March 18, 2022Team Snorkel
    - The future of data-centric AI talk series Background Anima Anandkumar holds dual positions in academia and industry. She is a Bren professor at Caltech and the director of machine learning research at NVIDIA. Anima also has a long list of accomplishments ranging from the Alfred P. Sloan scholarship to the… ...
  • Weak Supervision Modeling with Fred Sala
    March 17, 2022Team Snorkel
    - Understanding the label model. Machine learning whiteboard (MLW) open-source series Background Frederic Sala, is an assistant professor at the University of Wisconsin-Madison, and a research scientist at Snorkel AI. Previously, he was a postdoc in Chris Re’s lab at Stanford. His research focuses on data-driven systems and weak supervision. In… ...
  • Tips for using a data-centric AI approach
    March 9, 2022Team Snorkel
    - The future of data-centric AI talk series Background Andrew Ng is a machine-learning pioneer, founder and CEO of Landing AI, and a former team leader at Google Brain. Recently he gave a presentation to the Future of Data-Centric AI virtual conference, where he discussed some practical tips for responsible data-centric… ...
  • Resilient enterprise AI application development
    March 3, 2022Arjun Prakash
    - Using a data-centric approach to capture the best of rule-based systems and ML models for enterprise AI One of the biggest challenges to making AI practical for the enterprise is keeping the AI application relevant (and therefore valuable) in the face of ever-changing input data and evolving business objectives. Practitioners typically… ...
  • How AI can be used to rapidly respond to information warfare in the Russia-Ukraine conflict
    February 28, 2022Charlie Greenbacker and Nic Acton
    - Proliferating web technology has contributed to information warfare in recent conflicts. Artificial Intelligence (AI) can play a significant role in stemming disinformation campaigns, cyber-attacks, and informing diplomacy in the rapidly evolving situation in Ukraine. Snorkel AI is dedicated to supporting the National Security community and other enterprise organizations with state-of-the-art… ...
  • How Genentech extracted information for clinical trial analytics with Snorkel Flow
    February 26, 2022Team Snorkel
    - Genentech, a global biotech leader and member of the Roche Group, leveraged Snorkel Flow to extract critical information from lengthy clinical trial protocol (CTP) pdf documents. They built AI applications that used NER, entity linking, text extraction, and classification models to determine inclusion/ exclusion criteria and to analyze Schedules of… ...
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