About ai workshops
About ai workshops
Blog Article
We really encourage participation from researchers within a broad array of subject areas Discovering AI/ML strategies to detect novel patterns and anomalies inside of facts and encourage scientific discovery. Research issues may include (but are usually not limited to): How can we automate the discovery of latest scientific phenomena?
All submissions must adhere towards the AAAI formatting suggestions and may go through a double-blind review approach.
You’ll build a personalised Mastering route to enhance crucial competencies, making sure your crew is supplied for the AI-driven foreseeable future.
Causality aims to explain the basic principle that particular gatherings cause particular outcomes, helping us understand, forecast, and describe variations in the world. A short while ago, the link in between causality and AI has grown to be more and more crucial, where by AI can take advantage of causal reasoning to make a lot more strong, interpretable, and generalizable types.
Successful implementations, situation scientific studies, and initiatives that integrated KGs and AI for well being and justice
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The workshop will conclude with a panel dialogue, bringing jointly scientists from academia and field to determine foreseeable future directions and investigation gaps in document knowledge.
The accepted papers are going to be publicly available on OpenReview, nevertheless the workshop is non-archival and doesn't have formal proceedings.
NIST depends on and encourages sturdy interactions with firms, universities, nonprofits, together with other federal government companies in driving and carrying out its AI ai workshops agenda. You can find various ways to have interaction with NIST, together with:
Recognized papers will probably be obtainable digitally around the workshop’s website. Some extensive papers will probably be picked for talks; all papers is going to be presented as posters. Papers less than critique at other venues are welcome considering that GenPlan is non-archival and won't involve copyright transfer.
Publicly-funded study should really ideally stability help for matters that address challenges that hinder AI serving community needs, In combination with commercial and market options.
g. model adaptation, human alignment, screening & analysis, and many others.). Using the escalating amount of AI rules world wide that attempt to specify what is suitable for societal use, how the open up-resource AI ecosystem manages the potential risk of creating, deploying and handling these techniques matters immensely. For that reason, when bringing many financial and social Gains, there are plenty of specialized troubles to make an open-resource AI ecosystem. The objective of this interdisciplinary workshop is usually to explore the subsequent 5 places:
Two types of papers are welcomed: Analysis papers (around four webpages in AAAI format, excluding references). Papers by now acknowledged at major ML and AI conferences in the last yr.