Detailed Notes on ai workshops
Detailed Notes on ai workshops
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We primarily Keep to the CIKM rules for paper submission aside from one-blind peer assessment. All critical suggestions are as follows:
Group-creating and education and learning to motivate collaboration between AI scientists and domain place gurus.
Tensor networks for quantum and physics-influenced computing to resolve variational inference, PDEs As well as in- verse troubles;
Papers are going to be peer-reviewed beneath a double-blind coverage. Accepted papers is going to be introduced on the poster session, some as oral presentations, and one particular paper will probably be awarded as the most effective paper.
This range of purposes, with a concentrate on population and individualized well being, is actually a testament into the enjoyable probable of the sector.
We invite submissions of prolonged abstracts (up to a few web pages) presenting the most up-to-date and finest research, situation studies, or position papers related for the workshop matters. Submissions really should Adhere to the AAAI formatting pointers.
We also welcome contributions that use current benchmarks to demonstrate safety or AI units or uncover unsafe behaviors.
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The kickoff AI Workshop, Checking out AI Trustworthiness, took place on August six, 2020. A report to the conversations is because of out shortly. A recording in the workshop can be found within the occasion website page.
We settle for both equally short papers with no more than four web pages and very long papers with not more than 8 internet pages. Each and every submission will go through a double-blind peer-critique approach. Papers approved via the workshop won't be revealed but only for demonstration inside the workshop.
The workshop is going to be a full-day workshop with a mixture of keynotes, contributed talks, targeted discussions, and poster classes. The morning session will encompass talks and discussions with regard to the difficulties of determination-building and Studying based upon cognitive modeling at cooperative MAS and AI answers’ vision.
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We invite papers that focus on many elements of mitigating misinformation generated by LLMs. Subject areas of curiosity include (but are not restricted to):