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Fukuda Lab
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A lab that aims to build AI that understands the background and meaning of human activities by integrating data and knowledge.
AboutAbout the lab
Integrating data and knowledge for AI that understands daily life.
The Fukuda Lab aims to develop AI technologies that understand the background and meaning of human activities by integrating data-driven AI and knowledge-driven AI.
Toward AI that can also support daily life, the lab links knowledge about human actions, intentions, safety, and more with video and natural language information, and builds it into AI reasoning and recognition.
Research is carried out at the Artificial Intelligence Research Center (Odaiba) of the National Institute of Advanced Industrial Science and Technology (AIST).
Students assigned to the lab can, as needed, work as technical trainees and use AIST's large-scale AI computing resources, such as ABCI, for their research.
Students can join this lab starting at the graduate school level.
Key terms
- Knowledge graph
- A representation of various kinds of knowledge in a graph structure. This lab also uses it to describe changes in interactions within videos.
- VirtualHome2KG
- A simulator that runs on Unity. It is used to produce videos of avatars performing daily activities.
ResearchResearch themes
The lab aims to realize AI that supports not only industrial settings such as factories but also daily life. It mainly studies knowledge graphs, applications of large language models, explainable AI (XAI), dialogue systems, information retrieval, and information extraction.
Building everyday knowledge into AI reasoning
In everyday living spaces, people, objects, their interactions, and changes of state combine in many layers. So that AI can use the knowledge that humans use naturally, the lab links information of different kinds, such as long-duration video and natural language, and builds it into the reasoning and recognition processes of AI.
Knowledge graphs of daily activities and risk reasoning
The lab publishes datasets made up of pairs: videos in which avatars perform daily activities in the Unity simulator (VirtualHome2KG), and knowledge graphs describing the changes in interactions within those videos. It also holds the Knowledge Graph Reasoning Challenge (Real-World Edition), a contest in which AI systems that reason about risks in daily life compete on performance, and it studies such AI systems as well.
MembersFaculty
- Affiliated ProfessorKenichiro Fukuda
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Breville” Smoth 007 from Christchurch, New Zealand / CC BY-SA 2.0 (cropped)
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