※ Updated information will continue to be posted here.
Outline
Date
June 24th (Mon.)
June 25th (Tue.)
June 26th (Wed.)
(Registration required)
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: June 24th (Mon.)
https://www.kecl.ntt.co.jp/openhouse/2024/index_en.html
Registration
※ Please note that registration will be closed when the maximum number is reached.
Program
Lectures
This year, the lectures will be held on site for the first time in five years. Lecture videos will be available on the event website at a later date.
Invited Talk
Creating the Next Generation Factory Together
Katsuki Fujisawa
Research Unit Leader, Digital Twin Unit, Institute of Innovative Research
Professor, Department of Mathematical and Computing Science, School of Computing
Tokyo Institute of Technology
Research Talk A
Fast knowledge discovery from big data
- Large-scale data analysis with accuracy guarantee via efficient pruning methods-
Yasuhiro Fujiwara, Media Information Laboratory
Research Talk B
The crux of human movement variability
- Mistimed motor signals from the brain affect the precision of movements-
Atsushi Takagi, Human and Information Science Laboratory
Research Talk C
Human-centric image rendering for natural & comfortable viewing
- Image optimization based on human visual information processing models-
Taiki Fukiage, Human and Information Science Laboratory
Research Talk D
Towards reliable infrastructures with compressed computation
- Efficient algorithms for network analysis problems with decision diagrams-
Kengo Nakamura, Innovative Communication Laboratory
Exhibition program
At the event venue, researchers will give detailed explanations and demonstrations of their research. Video contents will also be available on the event website from June 24th.
Science of Machine Learning
- How likely do severe infrastructure failures occur? - Exact computation of network’s scale-wise unreliability -
- Communication-efficient learning over data centers - Finite-time convergent graph for fast decentralized learning -
- Representation learning for insufficient training data - Learning priors for multi-task representation learning -
- Improving the reliability of quantum computation - Fast probabilistic conversion into quantum gate sequences -
- Connecting math domains for new discoveries - Series expansion and structure theorem on automorphic forms -
- How active are your heart cells? - Heart state estimation from electrocardiograms -
Science of Communication and Computation
- Real dialogue data tells how people get close - Chat collection for developing long-term chat model -
- Look for bilingual sentence pairs in the world - Large-scale parallel corpus construction technology -
- Children’s picture drawing indicates their friendships - Measuring intimacy in young children using picture drawings -
- Why urban areas have more child abuse notifications? - WEB survey about abuse detection and population density -
- An information platform for social relationships - A way to handle human social bonds with Web 3 technologies -
Science of Media Information
- Seeing sound by light - Sound field visualization and analysis by acousto-optic sensing -
- Analyzing Mechanical Traits of Engineered Heart Tissue - Measurement of Tissue Movement with POC-based Analysis -
- Huge 3D display by collection of monitors you have - Easy huge 3D display using distributed general monitors -
- Keeping listening while talker is moving - Neural beamforming for tracking moving sources -
- Changing your voice and speaking style in real-time - Real-time voice conversion with high quality and low latency -
Science of Human
- Secret of fine motor control of skilled musicians - Non-linear time series analysis of skilled musicians -
- Why does a squishily deforming object appear soft? - Elucidating visual cues contributing to softness judgment -
- Why can humans detect sound changes? - Understanding auditory properties with a computational model -
- Capturing subjective feelings objectively - Modeling emotions with response styles and uncertainty -
- Visualize your motor skill! - A movement variability measure of hand and foot dexterity -
- Different speedometers for locomotion and perception - Multiple brain processes of self-motion speed estimation -
News
- May 17th, 2024The schedule is now available on the website.
- April 24th, 2024The program is now available on the website.
- March 21st, 2024The 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
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