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UID:3fc88be2-dffe-4954-9b1a-e09721384f7d@support.access-ci.org
DTSTAMP:20240925T204938Z
DTSTART:20241112T210000Z
DTEND:20241112T223000Z
SUMMARY:Intro to AI-driven Science on Supercomputers: A Student Training Se
 ries
DESCRIPTION:While registration is closed, session materials are hosted on t
 he ALCF AI Science Training series GitHub [click here].Recordings for each
  session will be posted weekly on session-specific pages (https://www.alcf
 .anl.gov/alcf-ai-science-training-series)The ability of artificial intelli
 gence (AI) to successfully learn from large datasets has transformed scien
 ce and engineering as we know it. AI can accelerate scientific discovery a
 nd innovation but often requires more computing power than is available to
  most researchers. The DOE provides supercomputers to solve the nation’s
  biggest scientific challenges and this series aims to introduce a new gen
 eration of AI practitioners to these powerful resources.Building on the AL
 CF's robust training program in the areas of AI and supercomputing, we are
  hosting a series of hands-on courses that will teach attendees to use lea
 ding-edge supercomputers to develop and apply AI solutions for the world's
  most challenging problems. This year, we will focus on understanding the 
 fundamentals of large-language models (LLMs) and their scientific applicat
 ions. Pre-requisitesThis training series is aimed at undergraduate and gr
 aduate students enrolled at U.S. universities and community colleges. Att
 endees are expected to have basic experience with Python. No supercomputin
 g or AI knowledge is required.Workshop Series FormatEach session will have
  both lecture and hands-on components, along with a talk from an Argonne s
 cientist about the work they do using AI for their science.Each session oc
 curs on Tuesdays from 3:00 to 4:30 p.m. CT. Session recordings will be av
 ailable shortly after each event.
URL:https://support.access-ci.org/events/7580
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