Their useful contributions are already instrumental in making sure the standard and rigor with the workshop’s plan. We deeply value their devotion and determination to our workshop’s achievement: 

All submissions should be in English and follow the AAAI convention proceedings structure. The web page boundaries contain all content material besides references.

All submissions will bear peer assessment through a solitary-blind system. Although workshop publication is non-archival, approved papers are going to be featured on our Site with creator authorization. 

Publicly-funded investigation need to ideally stability assist for topics that address worries that hinder AI serving public demands, in addition to industrial and business settings.  

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Discover and comprehend the problems in making use of AI to certain science and engineering complications.  

On completing the total system, you should have crafted a portfolio of knowledge science projects to supply you with the confidence to excel inside your interviews.

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The theory covers the “why” for each augmented reality and artificial intelligence. Why countries and companies are adopting and marketing these technologies. How can this advantage you and your enterprise (Even when you are in B2B gross sales). 

The survey paper observe is aimed at grounding expertise in AI Agents. Accepted survey papers might be consolidated with the tutorial-exploration sector coalition of AI Agents scientists for the joint survey paper submission to JMLR. Further aspects and workshop track announcements will likely be obtainable at . 

Source and Instrument advancement, which include new datasets, designs, and analysis frameworks for SDU and VRD responsibilities

We invite submissions on function in check here progress and experienced investigate, like “highlight” papers summarizing modern results from multiple papers through the authors. Preference might be offered to new and ongoing get the job done in excess of specific resubmissions of Formerly released work. 

We expect interdisciplinary collaboration to discover autonomous research for subject areas further than present purely natural science domains. This workshop solicits viewpoints from experts and technological innovation builders to glimpse outside of specialized problems to raised comprehend the requirements in the human-in-the-loop scientific study lifecycle. 

Reveal proficiency in information science and machine Finding out strategies utilizing a authentic-environment data set and put together a report for stakeholders