| Time (Tokyo) | Room: A (Main room no. 8-9) | Room: B (No. 10) | Room: C (No. 11) | V2-Online presentation | V1-Online presentation |
|---|---|---|---|---|---|
Monday, April 21 |
|||||
| 13:00-16:00 | R1Registration Day | ||||
Tuesday, April 22 |
|||||
| 09:00-09:10 | K1Opening ceremony by Assoc.Prof. Athikom Roeksabutr | ||||
| 09:10-09:50 | K2Keynote speaker by Prof. Dr.-Ing. Habil. Dr. h.c. Herwig Unger | ||||
| 10:00-12:00 | S1AI, ML, and Data Science | S2Computer Science and IT for Daily Life | S3Software Engineering, Knowledge and Data Management | ||
| 13:00-15:00 | S4AI, ML, and Data Science | S5AI for A Smart World | S6Artificial Intelligence and Machine Learning | V2AI and Data Science | V1Computer Science for Daily Life |
| 15:00-17:00 | S7AI and Machine Learning | S8IT for Better Life | S9Smart Life: Networks & Intelligent Systems | ||
| 18:00-20:00 | B1Banquet | ||||
Wednesday, April 23 |
|||||
| 08:00-18:00 | X1Academic discussion and research group development | ||||
The official opening ceremony for AJCC2025 is scheduled for April 22, 2025, between 9:00 AM and 9:10 AM Tokyo Time. This brief but significant event will be led by Assoc. Prof. Athikom Roeksabutr, the esteemed President of the Electrical Engineering Academic Association (Thailand).
This talk offers insights into cutting-edge research at the Chair of Communication Networks at FernUniversität in Hagen, focusing on advancements in brain-inspired methods and the development of GraphLearner, a neuromorphic sequence analyser and generator. Beginning with a review of previous research, including text-representing centroids and a decentralized search engine, we highlight the significance of brain-inspired approaches despite the success of conventional deep learning techniques.
Drawing from the works of Hawkins and others, we introduce the GraphLearner as a promising alternative to traditional "black box" models in deep neural networks. By employing Markov models and leveraging Bloom filters for efficient probability calculations, GraphLearner offers enhanced explainability and adaptability. The talk delves into the architecture and functioning of GraphLearner, showcasing its performance in natural language processing tasks. Additionally, we discuss potential extensions and applications of GraphLearner in diverse domains.












Time: Apr 22, 2025 at 13.00 (Tokyo time) or 11.00 (Bangkok time)
Join Zoom Meeting
https://us06web.zoom.us/j/89149295895?pwd=X6zWakslLbZbKXAXuPwTqjKpX6jMFy.1Meeting ID: 891 4929 5895
Passcode: 171707

Time: Apr 22, 2025 at 13.00 (Tokyo time) or 11.00 (Bangkok time)
Join Zoom Meeting
https://us06web.zoom.us/j/89149295895?pwd=X6zWakslLbZbKXAXuPwTqjKpX6jMFy.1Meeting ID: 891 4929 5895
Passcode: 171707










Social Event and Academic Discussions for Research Networking.
This event aims to foster research groups from various universities for future collaboration.
Lunch will be at local restaurants in Ine Village (participants pay individually).