Two kinds of papers are welcomed: Research papers (nearly 4 webpages in AAAI structure, excluding references). Papers presently recognized at major ML and AI conferences in the final year. 

Tensor networks for quantum and physics-motivated computing to solve variational inference, PDEs As well as in- verse issues; 

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By focusing on these crucial troubles, we goal to mitigate the damage attributable to LLM-created misinformation across many domains.

Both equally online and in-person AI workshops have their very own strengths. On the internet workshops offer overall flexibility and permit members to affix from everywhere and infrequently in a reduced Price.

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Workshop Committee: Users from tutorial and business associates will probably be stated within the workshop’s website.

It's focused on sustainability, carbon neutrality and effectiveness and delves into systems like electronic twins, quantum simulators and AI-powered resources for sustainable propulsion. 

The workshop will likely be a in the future meeting comprising invited talks from researchers in the sphere, Highlight lightning talks in addition to a poster session in which contributing paper presenters can discuss their function. Attendance is open up to all registered individuals.

We invite submissions of prolonged abstracts (up to a few pages) presenting the newest and finest analysis, scenario reports, or position papers appropriate to your workshop matters. Submissions ought to Keep to the AAAI formatting recommendations.

All the attendees will participate in collaborative sessions that highlight AI-pushed methods for elaborate societal challenges, case scientific tests from ongoing initiatives and discussions on responsible and moral AI in the general public area.

Modern advancements in AI apps, for instance read more tensor factorizations and polynomial networks, have enabled enhancements in fields like huge language models, quantum computing, and deep Understanding. The objective of the workshop would be to foster collaboration and dialogue throughout diverse research communities working with lower-rank methods to push more breakthroughs in AI. 

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