Community Need
Community need, encompassing the identification and fulfillment of societal requirements, is a burgeoning research area focusing on efficient data analysis and resource allocation. Current research emphasizes leveraging machine learning, particularly deep learning models like transformers and neural networks, along with advanced techniques such as ensemble learning and meta-learning, to analyze diverse data sources (e.g., social media, healthcare records) and predict needs more accurately. This work holds significant implications for improving the effectiveness of social programs, optimizing resource distribution, and enhancing the transparency and fairness of AI-driven decision-making in various sectors.
Papers
MineLand: Simulating Large-Scale Multi-Agent Interactions with Limited Multimodal Senses and Physical Needs
Xianhao Yu, Jiaqi Fu, Renjia Deng, Wenjuan Han
Removing the need for ground truth UWB data collection: self-supervised ranging error correction using deep reinforcement learning
Dieter Coppens, Ben Van Herbruggen, Adnan Shahid, Eli De Poorter