AI BriefingLG AI Research 271
·2026.07.16 09:00
Key point
At the IJCAI 2022 conference, research trends emphasizing the importance of reinforcement learning, federated learning, and reasoning capabilities were confirmed.
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Details
IJCAI 2022, held in Vienna, Austria, recorded a low acceptance rate of under 20% while sharing high-level AI research achievements. At this conference, research across various fields such as deep learning methodologies, AI frameworks, and robotics was presented.
The following fields stood out as major research trends:
- Reinforcement Learning: Numerous studies covering agent/multi-agent systems, planning, and constraint satisfaction problems were presented, with workshops related to Safe RL drawing particular attention.
- Federated Learning: The research share noticeably increased compared to previous years.
- Natural Language Processing (NLP) and Reasoning: In addition to knowledge base/graph-based reasoning, research emphasizing models' reasoning capabilities, such as Temporal and Qualitative reasoning, has been increasing.
- Time Series and Data Processing: The importance of learning from Spatio-temporal data is growing, and unlike in the past, instead of the term 'big data,' techniques for extracting insights from scarce data are becoming important.
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