5 Simple Techniques For ai workshops
5 Simple Techniques For ai workshops
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Be a part of us at AAAI 2025 to generate the future of World-wide-web agents, making sure their readiness for organization-scale deployment.
A significant portion of these protection fears might be attributed to data-connected issues at different phases of your AI lifecycle. The growing adoption of frontier Basis types in mainstream applications has amplified these issues.
Tensor networks for quantum and physics-encouraged computing to resolve variational inference, PDEs and in- verse difficulties;
When their possible is huge, actual-globe deployment requires addressing not just critical technical troubles but also ethical and societal ones.
Workshop 1 Goal: Familiarize participants with the basics of AI, like its record, vital ideas, and the different kinds of AI systems. This session sets the foundation for knowledge how AI could be applied in instructional and administrative contexts.
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We will go away sufficient time for issues and responses at the conclusion of Every invited talk and panel session, and We'll characteristic a poster session to inspire dialogue amongst authors.
We really encourage submissions underneath just one of such subject areas of fascination, but we also welcome other exciting and relevant investigate for making ready very good knowledge.
Their worthwhile contributions have been instrumental in making sure the quality and rigor of the workshop’s method. We deeply take pleasure in their devotion and commitment to our workshop’s results:
NIST depends on and encourages robust interactions with firms, universities, nonprofits, and also other govt organizations in driving and finishing up its AI agenda. You will discover a number of means to interact with NIST, check here which includes:
In this particular workshop, we wish to provide jointly scientists who deal with diverse phases and various elements (structured knowledge, unstructured understanding, and understanding obtained from LMs them selves) with the know-how lifecycle to debate the job of data from the period of enormous language styles.
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By focusing on these vital challenges, we intention to mitigate the harm caused by LLM-produced misinformation throughout numerous domains.
Papers ought to be submitted while in the AAAI structure. The critique method will probably be single-blinded, and we welcome acknowledged and released papers.