An Unbiased View of ai workshops
An Unbiased View of ai workshops
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All AAAI attendees who are interested in the intersection of machine Mastering and autonomous driving are welcome.
All submissions should really adhere on the AAAI formatting rules and will bear a double-blind critique approach.
Meet up with your instructors Our very skilled instructors are active selecting professionals and staff at FAANG+ firms and know exactly what it's going to take to ace tech and managerial interviews.
Papers are going to be peer-reviewed beneath a double-blind plan. Recognized papers will probably be offered on the poster session, some as oral displays, and one particular paper will likely be awarded as the ideal paper.
Profitable implementations, scenario studies, and initiatives that integrated KGs and AI for wellness and justice
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This workshop will bring collectively scientists and practitioners to foster collaboration, share insights, and inspire new investigation directions in the responsible improvement and deployment of LLM technologies.
The speedy improvement of AI technology increases the likelihood of superintelligence rising quickly, likely performing past human Command. In this type of environment, humanity will have to find coexistence with superintelligence.
It's going to be structured into sessions aligned with unique study themes. Every session will open having a highlighted invited talk, with the rest specializing in presentations by authors of recognized papers.
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Our half-working day workshop will contain keynote/invited talks, contributed paper presentations, plus a poster session. We goal to support an audience of nearly 50 attendees.
All submissions will endure double-blind peer critique, along with the recognized papers will probably be offered as oral or poster displays for the workshop. At least a single creator of every accepted paper should sign-up and show up at the workshop to present their perform.
Workshop contributors will characterize professionals and students from market and academia. Invited talks and acknowledged papers will explore subject areas about responsible AI throughout the academic ecosystem. The workshop aims to connect persons from different Expert contexts to share abilities and encourage conversations that support new analysis and implementations regarding how to develop sustainable, moral liable AI practices for education.
workshop aims to convene a Neighborhood of scientists, engineers, and practitioners with public missions, to higher leverage AI toward hard challenges of societal relevance.