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Research on Real-world AI that deeply understands people (their psychology and activities), things and society in the physical space, and provides them trustable interventions through effective feedback for the purpose of solving various social issues.

News Release&Topics

Advanced Technology Laboratories
November 29, 2022

Research paper accepted for NeurIPS 2022, a Top AI Conference

Advanced Technology Laboratories
October 4, 2022

Launch of the Joint Research Project on “Human Psychology AI” with Leading Overseas Research Institute

Advanced Technology Laboratories
April 18, 2022

Achieved the world’s No.1 in Visual Commonsense Reasoning

Advanced Technology Laboratories
February 22, 2021

A research paper has been accepted in the international journal on user modeling, “UMUAI”

Advanced Technology Laboratories
October 26, 2020

Launch of Joint Research Projects with Outstanding Researchers Overseas

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Publications

Continual Learning: Learning Ability and Algorithm

Gyuhak Kim(UIC), Changnan Xiao(New York University), Tatsuya Konishi, Bing Liu(UIC)

International Conference on Machine Learning (ICML) 2023

July 2023

Parameter-Level Soft-Masking for Continual Learning

Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke(UIC), Gyuhak Kim(UIC), Bing Liu(UIC)

International Conference on Machine Learning (ICML) 2023

July 2023

Sensor Event Sequence Prediction for Proactive Smart Home Support Using Autoregressive Language Model

Naoto Takeda, Roberto Legaspi, Yasutaka Nishimura, Kazushi Ikeda, Atsunori Minamikawa, Thomas Plötz(Georgia institute of technology), Sonia Chernova(Georgia institute of technology)

The 19th International Conference on Intelligent Environments (IE 2023)

June 2023

CG-GNN: A Novel Compiled Graphs-based Feature Extraction Method for Enterprise Social Networks

Tatsuya Konishi, Shuichiro Haruta, Mori Kurokawa, Kenta Tsukatsune(Okayama University of Science), Yuto Mizutani(Unipos Co., Ltd.), Tomoaki Saitoi(Unipos Co., Ltd.), Hideki Asoh, Chihiro Ono

The 4th workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR 2023)

June 2023

Towards Multimodal Spatio-Temporal Transformer-based Models for Traffic Congestion Prediction

Huy Quang Ung, Yutaro Mishima, Hao Niu, Shinya Wada

The 4th workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR 2023)

June 2023

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Awards

2021.11.10

18th EAI International Conference on Mobile and Ubiquitous Systems: COmputing, Networking and Servicies (Mobiquitous 2021)「Best Paper Award」

Event Detection and Event-Relevant Tweet Extraction with Human Mobility

Naoto Takeda, Daisuke Kamisaka, Roberto Legaspi, Yutaro Mishima, Atsunori Minamikawa