About workshop artificial intelligence
About workshop artificial intelligence
Blog Article
Tensor networks for quantum and physics-motivated computing to unravel variational inference, PDEs and in- verse difficulties;
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A good portion of these protection fears could be attributed to information-associated difficulties at numerous levels from the AI lifecycle. The rising adoption of frontier foundation versions in mainstream apps has amplified these considerations.
It's going to be a 1-day workshop. We program to possess an invited keynote speaker, paper presentations, and also a panel dialogue. We could invite further speakers if the volume of paper submissions is small.
How to develop generative AI-driven applications and chatbots making use of a variety of programming frameworks and AI technologies
Actually fantastic program. It provides a great overview of vital challenges in AI. Practical system for non-complex organization leaders wanting to grasp critical principles in AI which they are able get more info to choose again for their companies.
An knowledge of artificial intelligence can be used to assist several Occupations, but some Professions exclusively require a history in AI. Some examples of Occupations in AI incorporate:
The workshop’s attendees are keynote speakers, authors whose papers are recognized, and researchers and industrial practitioners who can go to adhering to AAAI’s associated plan. The anticipated number of attendees is about fifty five.
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The presenters of approved papers and posters are predicted to go to in man or woman, besides in Particular conditions.
Minimal-rank constructions to speed up computation of large ML systems such as adaptors in LLMs and structured computational graphs;
We invite papers that focus on several elements of mitigating misinformation generated by LLMs. Matters of curiosity include things like (but are not restricted to):
With this workshop, we want to convey alongside one another scientists who give attention to various phases and distinct aspects (structured understanding, unstructured awareness, and expertise obtained from LMs by themselves) on the information lifecycle to debate the part of data inside the period of huge language versions.
The Consortium will advance new measurement science – enabling the identification of established, scalable, and interoperable strategies and metrics.