The Basic Principles Of ai workshops
The Basic Principles Of ai workshops
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The workshop invitations first investigation contributions on all document being familiar with and intelligence areas. Topics of curiosity consist of, but are usually not restricted to:
The accepted papers are going to be posted to the workshop Web site and will not likely look inside the AAAI proceedings.
You’ll build a personalised Studying route to enhance vital competencies, ensuring your crew is provided for that AI-pushed foreseeable future.
Papers are going to be peer-reviewed below a double-blind policy and need to be submitted on-line throughout the OpenReview submission process.
By the end of your workshop, attendees could have made a comprehensive understanding of AI and ML's capabilities and limits, Geared up with the talents to use these systems in several domains, from tech and healthcare to finance and over and above.
All attendees must register for your workshop. Be sure to Look at far more information about AAAI 2025 workshop registration: .
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It aims to cross in between use-encouraged foundational investigation, applied study, and scenario-studies that document effective processes by which AI continues to be deployed and responsibly governed.
That’s why we’re web hosting workshops as Component of our AI Studio, to delve to the alternatives and issues of employing AI in authorities programs responsibly.
All submissions should Adhere to the PMLR type template. Acknowledged entire papers is going to be invited to submit posters spotlights and posters at the workshop and also an prolonged version, addressing the reviewer remarks, to PMLR () to become revealed as part of the Workshop Proceedings.
The workshop will likely be a complete-working day workshop with a mix of keynotes, contributed talks, centered conversations, and poster periods. The early morning session will include talks and discussions regarding the difficulties of final decision-creating and Understanding dependant on cognitive modeling at cooperative MAS and AI solutions’ eyesight.
The Artificial Intelligence with Causal Technologies (AICT) workshop aims to debate the latest improvements in causal methodology, get more info like novel causal discovery and causal inference techniques, and strategies for downstream causal jobs such as causal representation Mastering, causal reinforcement Studying, causal fairness, etc. We can even explore how these improvements during the causal community can contribute to unique subfields of AI such as recommender programs, natural language processing, Personal computer vision, and so forth.
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