The presenters of accepted papers and posters are anticipated to go to in person, besides in Distinctive instances.
Accomplish exploratory data Investigation and apply analytical strategies to true-term datasets applying libraries such as Pandas, Numpy and Scipy
Competing from the Age of AI is usually a how-to manual that demystifies AI and its sensible implications for advancing your company. You are going to deepen your knowledge of the ethical troubles and expansion capabilities of leveraging enormous quantities of details and complex analytics. You might also be interested inside the relevant plan: Competing in the Age of AI—Virtual.
This workshop encourages submissions of ground breaking options for just a wide array of time collection analysis complications. Subjects of fascination involve but aren't limited to the subsequent:
The internet pages contain references and any appendices. Much more steering about the submissions is with the Workshop Internet site. The evaluation process will likely be single blind.
Submissions needs to be four-seven web pages extended, excluding references, and follow AAAI 2025 template. Submissions are double-blind and writer identity shouldn't be discovered to the reviewers. An optional appendix of arbitrary size is permitted and will be set at the end of the paper (immediately after references).
We invite the submission of first and high-high-quality exploration papers during the subjects connected to intersection of effective schooling and huge-scale deployment of AI methods. The subjects for SEAS 2025 incorporate, but usually are not restricted to (make sure you see the workshop website For additional topics of curiosity):
We anticipate fifty-seventy five members and potentially a lot more In line with our earlier encounters. We warmly invite researchers, practitioners, and learners from the two academia and sector to hitch us in exploring and talking about answers for addressing the issues of scalability and efficiency in AI.
How can we make sure that these styles are clear, ethical, and adjust to regulatory criteria? What approaches can mitigate inherent biases and build trust with both clinicians and individuals?
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Causality aims to explain the basic principle that specified situations result in unique outcomes, serving to us have an understanding of, forecast, and clarify adjustments on earth. Lately, the get more info connection concerning causality and AI has grown to be ever more crucial, where AI can benefit from causal reasoning to build more strong, interpretable, and generalizable versions.
" You do not ought to get Those people classes yet again, and can complete the Professional Certificate much more promptly. You can only have to have to accomplish the programs you have not yet accomplished.
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Evaluation: We will also take new evaluation procedures or metrics to measure the effectiveness of AI strategies for various phases of data-grounded autonomous scientific study, which include scientific hypothesis technology, automatic assessment era, etcetera.