Search

AINOW 2025: The First International Conference on Advances in AI-based Systems and Applications

ISSN:

Dates: November 16, 2025 to November 20, 2025

Location: Nice / Saint-Laurent-du-Var to France

Venue:

Novotel Nice Airport Cap 3000

40 Avenue de Verdun
06700 SAINT LAURENT DU VAR
France

Hotel website

Table of Contents

keynote
Authors
Dalmo Cirne, Workday, Inc., USA
keynote
Authors
Rahamatullah Khondoker, THM University of Applied Sciences, Germany
panel
Moderator
Dalmo Cirne, Workday, Inc., USA
Panelists
Vladimír Šulc, MICRORISC, Jičín, Czech Republic
Danilo Peeters, NSX bv, Belgium
Gayo Diallo, University of Bordeaux, BPH/ISPED, France
Arwen Mannaert, NSX bv – KU Leuven, Belgium
article
Abstract

The use of chatbots is state of the art to produce illustrations and pictures. When using these chatbots to draw technical illustrations, the results are often wrong. However, using chatbots to derive CAD-models is appealing to support and automize the design process, e. g. of machinery. This paper analyses the current state of the art and the requirements for such a use case with a systems engineering approach.

Authors
Erfan Eimaq, NORDAKADEMIE gAG, Germany
Lea Kleemann, NORDAKADEMIE gAG, Germany
Niklas Krüger, NORDAKADEMIE gAG, Germany
Bernhard Meussen, NORDAKADEMIE gAG, Germany
Rares Naghi, NORDAKADEMIE gAG, Germany
poster
Abstract

We propose the realization of AI (BuddyAI) with high autonomy and versatility that can perform compassionate interactions with people. Each person will have one BuddyAI, and BuddyAI will be connected through a network. The accumulation of satisfaction from people through AI's autonomous interaction with them leads to the acquisition of trust in AI. As a result, people accept advice from BuddyAI with conviction, enabling behavioral changes that would be difficult to achieve through self-help alone. The success of mega-scale LLM development, such as ChatGPT, is essential for the realization of BuddyAI. However, it isn't easy to realize BuddyAI as an extension of the foundational model, so we propose the realization of a new symbol-based AI based on LLM.

Authors
Satoshi Kurihara, Keio University, Japan
Kazuma Arii, Keio University, Japan
Reo Abe, Keio University, Japan
Taihei Takahashi, Keio University, Japan

Contact Us

Proposals

The submission system is currently being prepared. We invite you to subscribe to the newsletter so you will be the first to know when it goes online.