We invite higher-high-quality paper submissions of the theoretical and experimental mother nature on generative AI topics together with, although not limited to, the next:
Novel quantum machine Mastering algorithms including theory and programs of quantum reservoir computing and quantum extreme Discovering machines
The workshop is open up to all serious about write-up-singularity symbiosis-linked matters, using an expected attendance of nearly fifty men and women.
This workshop aims to supply a comprehensive comprehension of AI governance rules, frameworks, and greatest methods to empower participants in navigating the moral, legal, and societal Proportions of AI.
The aim is to comprehend greater how cognitive modeling can improve cooperation amongst individuals and AI agents, particularly in complicated, high-stakes situations.
At last, the workshop will welcome papers that describe the discharge of privateness-preserving benchmarks and data sets that can be used by the Group to resolve basic challenges of fascination, like in equipment Finding out and optimization for wellness units and urban networks, to say but some illustrations.
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An expected final result from the workshop is to build consciousness of this emerging field with its technological chances and troubles, which might foster long run analysis and enhancement, making novel merchandise to serve upcoming task seekers and employers/recruiters.
That’s why we’re web hosting workshops as part of our AI Studio, to delve into your chances and factors of utilizing AI in govt units responsibly.
Papers needs to be anonymized; reviewing is double-blind. The necessities are analogous to AAAI specifications, i.e., 7 pages of technical content material furthermore extra pages entirely for references; acknowledgements need to be omitted from papers submitted for critique.
Attendance is open up to all. At the very least just one creator of each and every approved submission need to be existing on the workshop.
NIST operates While using the AI community to discover the setting up blocks more info required to cultivate have confidence in and be sure that AI programs are precise, responsible, safe, secure and resilient, strong, explainable and interpretable – and that they mitigate bias whilst also taking into account privacy and fairness. To foster collaboration and create a shared knowledge of what constitutes dependable AI, and also to bolster scientific underpinning of the way to evaluate and assure trustworthiness of AI programs, NIST has long been Arranging a series of workshops bringing together governing administration, field, academia, and other stakeholders with the US and throughout the world.
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As LLMs carry on to showcase a chance to coordinate many AI agents for complex difficulty-resolving, the workshop will delve into pivotal open study questions that progress the comprehension and probable of LLM-dependent multi-agent collaboration.