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UID:pretalx-scipy-2026-SRLEMK@pretalx.com
DTSTART;TZID=CST:20260716T174500
DTEND;TZID=CST:20260716T184000
DESCRIPTION:Project Jupyter is a critical widely-used platform for data ana
 lysis. The Jupyter AI project integrates AI into the Jupyter stack in an i
 ntuitive and extensible way\, built on industry standards. We are also exp
 erimenting with new ways of interacting with AI in a notebook and providin
 g users with ways to easily customize the AI experience. We will share rec
 ent updates and future plans\, then want to hear from you about your needs
  and your workflows that could benefit from AI.
DTSTAMP:20260715T021130Z
LOCATION:Thomas Swain Room
SUMMARY:Jupyter AI integration - Jake Diamond-Reivich
URL:https://pretalx.com/scipy-2026/talk/SRLEMK/
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UID:pretalx-scipy-2026-GYKUEU@pretalx.com
DTSTART;TZID=CST:20260717T135500
DTEND;TZID=CST:20260717T142500
DESCRIPTION:Jupyter AI is a Project Jupyter package\, allowing developers a
 nd scientists to build AI experiences for the notebook format.\n\nThis tal
 k will be presented by Jake Diamond-Reivich\, one of elected members of th
 e Jupyter Executive Council.\n\nThe interactive notebook is a format that 
 most AI tools (ChatGPT\, Claude\, etc.) struggle to interact with. Jupyter
  AI provides an open source tool box for end users\, universities\, resear
 ch organizations\, and enterprises to build their own AI system that opera
 te within notebooks. This includes chatbots\, agents\, GUIs\, and more. A 
 key addition to Jupyter AI is the ability to create custom AI personas tha
 t collaborate with humans inside a notebook.\n\nThe sciences are vastly un
 derserved by the AI tooling being built for data analysis. Since the scien
 tific community has always been at the hear of Project Jupyter\, a lot of 
 the AI advancements for Jupyter are being worked on by scientists and are 
 being directed at scientific workflows. \n\nAI’s ability to work well in
  notebooks is imperative to the future of scientific research and  data sc
 ience\, impacting 10s of millions of notebook users worldwide.\n\nWe’ll 
 cover how users can access this open source tool kit\, and the work that c
 ontributors from companies like AWS\, Apple\, and more are doing to mainta
 in this tool kit.\n\nTalk agenda:\n\nIntroduction to Jupyter AI\, and how 
 to use it in for scientific research\n\nExamples: universities\, research 
 organizations and enterprises building with Jupyter AI (and what they’ve
  built)\n\nHow to contribute to Jupyter AI
DTSTAMP:20260715T021130Z
LOCATION:Memorial Hall
SUMMARY:Jupyter AI: AI for Scientific Notebooks - Jake Diamond-Reivich
URL:https://pretalx.com/scipy-2026/talk/GYKUEU/
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