※ Updated information will continue to be posted here.
Outline
Date
May 20th, 2026 (Wed.)
May 21st, 2026 (Thu.)
May 22nd, 2026 (Fri.)
Location
4-15-82 Higashinodamachi, Miyakojima-ku, Osaka
10-minute walk from the north exit of Kyobashi Station on the JR Osaka Kanjosen Line.
10-minute walk from the west exit of Kyobashi Station on the Keihan Honsen Line.
5-minute walk from Kyobashi Station on the Osaka Metro Nagahoritsurumiryokuchi Line.
Event website: May 20th, 2026 (Wed.)
https://www.kecl.ntt.co.jp/openhouse/2026/index_en.html
Registration
* Since it will be on a first-come, first-served basis, registration will end as soon as the limit is reached.
* Even after applications close due to full capacity, some slots may become available if there are cancellations.
Program
Lectures
Talks will be held live on site. The five research lectures will be held twice each during the event.
The recordings of the research talk will be made available on the event website at a later date.
Invited Talk
Research and Development of the AI Suitcase and the Challenge of Social Implementation
— Toward the Future of Mobility Support —
Chieko Asakawa
Project Professor, Keio University
IBM Fellow Emerita
Chief Executive Director, Miraikan (The National Museum of Emerging Science and Innovation)
Research Talk A
Science of the Brain and Body behind Winning
- Uncovering Neural and Physiological Mechanisms of Winning and Losing in Esports -
Sorato Minami, Human Information Science Laboratory
NTT Communication Science Laboratories
Research Talk B
Digital Organoid: Frontier of Bio-Medical Science
- Digitalized Biological Models to Realize Better Medicine and Health -
Kenji Komiya, Media Information Laboratory
NTT Communication Science Laboratories
Research Talk C
Understanding, Predicting, and Controlling Event Timing
- Event Time Series Analysis Using Point Processes and Machine Learning -
Hideaki Kim, Innovative Communication Laboratory
NTT Communication Science Laboratories
Exhibition Program
At the event venue, researchers will give detailed explanations and demonstrations of their research.
Machine Learning Science
- Seeking to capture the growth trajectory of cells - Interactive hypothesis testing on cell differentiation –
- Estimating cellular interactions from patterns - Modeling biological development with agent simulation –
- Towards energy-efficient AI models - Integrating sparsity and quantization for model compression –
- Do not compute: Fast approach for vector search - Accelerating ScaNN via pruning-based vector quantization –
- Fast and accurate event timing prediction - Event time analysis via point processes and machine learning –
- Who is affected by this policy, and why? - Accurate, interpretable statistical causal effect estimation –
- Evaluating uncertainty in the probability estimation - Variance computation for probabilistic inference outcome –
Media Information Science
- Listening to what you want! - Real-time selective listening of everyday sounds –
- Providing a diverse range of appealing voices - An idol voice dataset for research on speech generation AI –
- Were you able to thoroughly disinfect the entire area? - Evaluation of disinfection activities using thermal camera –
- 3D world captured by humans and AI - Comparing depth estimation bias using large-scale human data –
- Material perception through vision - Vision-based methods for conveying softness and stickiness –
Communication and Mathematical Science
- Solving open problems in arithmetic dynamics - Partial resolution of Morton-Vivaldi’s conjecture –
- Can you trust these search results? - Hub text identification for cross-modal embeddings –
- How is envy depicted in picture books? - The effectiveness of picture books for emotional education –
- How was that story? - An AI system for talking about picture book impressions –
- Measuring cognitive and affective empathy - Dataset construction and analysis for both empathy types –
Human Science
- What do circular leg movements tell us? - Smartphone-based foot skill and postural control evaluation –
- The essence of winning revealed through esports - In-match biosignals predict win/loss and assess expertise –
- What mind-body states drive elite victory?! - Individualized hormone–performance relationship & regulation –
- Understanding the mind from eyes and brain in the wild - Scaling mind reading beyond the lab –
- How people make sense of non-realistic virtual worlds - Examining how a sekai-kan is formed in the human mind –
News
- April 2nd, 2026The program and schedule is now available on the website.
- March 17th, 2026 The website opened.
Past Open House
Contact
2-4 Hikaridai Seika-cho Soraku-gun, Kyoto, 619-0237, Japan
TEL : 0774-93-5020
E-mail : cs-openhouse-ml@ntt.com
About privacy policy

