Objective
Artificial Intelligence (AI) has been a long-standing goal of humanity, with the aim of creating machines capable of performing any intellectual task that humans can do. To achieve this, AI researchers draw inspiration from the human intelligence (HI) and seek to replicate its principles in intelligent machines. In light of this, we propose to organize a workshop that serves as a platform to explore the dynamic relationship between AI and HI, fostering interdisciplinary discussions that delve into their intersection and uncover potential synergies.
Scope
The scope of this workshop is to explore how the intersection of AI and HI can contribute to two specific areas of research: the analysis and interpretation of brain data and the design of more efficient AI models. Firstly, in this workshop, we will discuss how AI technologies can be leveraged to facilitate the analysis and interpretation of brain data, allowing researchers to process, analyze, and interpret large-scale brain data more efficiently. This includes the application of AI techniques in uncovering brain fundamental organization principles and assisting in the diagnosis and understanding of various brain disorders.
Secondly, we will delve into the applications and advancements in designing brain-inspired AI models and explore how neuroscience knowledge can inform AI development. The study of the human brain provides valuable insights into cognitive processes, learning mechanisms, and information processing. Researchers can leverage this knowledge to design more efficient AI models and algorithms that mimic or are inspired by the brain’s mechanisms. By incorporating neuroscience principles, AI models can potentially achieve higher performance, improved interpretability, and better adaptability to complex tasks.
Submissions and Publication
Similar to the main conference of BI 2023, we welcome two types of paper submissions:
- Type Ⅰ: Full Paper Submissions. 9-12 pages are strongly encouraged for the regular papers including figures and references in Springer LNCS Proceedings format. All full-length papers accepted will be published by Springer as a volume of the series of LNCS/LNAI. Style files can be download here: template. Submit your full paper via IAIHI here.
- Type Ⅱ: Abstract Presentation Submissions. Abstract Presentations have a word limit of 500 words, and up to 5 keywords. Experimental research is particularly welcome. Research abstracts will be accepted for presentations in an oral presentation format and/or poster presentation format. Accepted abstract submissions will be included in the conference program and will be published as a single, collective proceedings volume. Submit your abstracts via IAIHI here.
Important Date
- July 20th, 2023: Abstract / full paper submission deadline
- July 22rd, 2023: Abstract / full paper acceptance notification
- July 25rd, 2023: Camera ready deadline
- August 1 - 3, 2023: Main conference
- August 1, 2023: IAIHI workshop