It's going to be a just one-working day workshop. We system to get an invited keynote speaker, paper shows, and a panel discussion. We may perhaps invite supplemental speakers if the number of paper submissions is minimal.
The results of the workshop will add on the theoretical idea of ToM in AI and inspire new exploration Instructions, collaborations, and an interdisciplinary community centered on this matter.
New breakthroughs in AI programs, including tensor factorizations and polynomial networks, have enabled enhancements in fields like substantial language styles, quantum computing, and deep Discovering. The intention of the workshop is to foster collaboration and dialogue across distinctive investigate communities dealing with lower-rank ways to generate further more breakthroughs in AI.
All submissions will undergo a double-blind peer review approach. Each and every paper are going to be reviewed by at least two associates of the program committee according to its originality, relevance into the workshop, specialized soundness, and clarity of presentation.
Related procedures: deep Discovering; reinforcement Studying; inductive logic programming; classical setting up; heuristic lookup; and neuro-symbolic methods.
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Unlock the power of information! Be part of our workshop to master facts science Basic principles and renovate information into conclusions. No prior experience needed!
We really encourage participation from scientists within a broad variety of subjects exploring AI/ML techniques to know attribute patterns of and underlying procedures governing organisms from Visible information. Research questions may involve (but usually are not limited to): What exactly are the kinds and attributes of information and information in biology that may be built-in into AI methodologies, and what are the mechanisms for this integration?
Their beneficial contributions have already been instrumental in making certain the quality and rigor from the workshop’s software. We deeply value their perseverance and determination to our workshop’s achievement:
The Consortium will advance new measurement science – enabling the identification of proven, scalable, and interoperable methods and metrics.
Several of the specific locations we would like to obtain an improved knowledge in include things like: what LLMs can add to scheduling, how LLMs can/really should be applied, What exactly are the pitfalls of utilizing LLMs, Exactly what are the assures which can be obtained.
By sharing my information I acknowledge the terms and conditions explained in eCornell’s Privacy Plan, such as the processing of my individual data in the United States. *
Integrating information and facts from now commonly readily available -omics and imaging modalities at multiple time and spatial scales with own health documents is becoming the normal of disorder care in fashionable community health. Also, given the ever-rising role from the World-wide-web to be a source of information in several domains, including healthcare, accessing, handling, and analyzing its material has here introduced new alternatives and difficulties.
Two submission selections seek out to empower government teams and NGOs to present recent do the job, while they may not have the ability to publish specialized papers. Submission information and facts are available on the workshop webpage.