Feb 20, 2026 · Information about AI from the News, Publications, and ConferencesAutomatic Classification – Tagging and Summarization – Customizable Filtering and AnalysisIf you are looking …

In particular, the tool was designed to address two cognitive radio applications, specifically dynamic spectrum access and jamming. In order to train and test reinforcement learning (RL) algorithms for …

Dec 4, 2024 · This paper presents Yankari, a large-scale monolingual dataset for the Yoruba language, aimed at addressing the critical gap in Natural Language Processing (NLP) resources for this …

Nov 14, 2024 · Machine learning models deployed on edge devices have enabled numerous exciting new applications, such as humanoid robots, AR glasses, and autonomous vehicles. However, the …

They are widely used in various intelligent applications. In this article, we provide a comprehensive survey on the evolution of various types of knowledge graphs (i.e., static KGs, dynamic KGs, …

Recently, joining the success of deep learning, there is an influentialline of work on deep multimodal learning, which has remarkable empirical resultson various applications. However, theoretical …

Selected quotes:"The Science Research Council has been receiving an increasing number of applications for research support in the rather broad field with mathematical engineering and …

Jan 4, 2018 · Many real-world applications produce networked data such as the worldwide web (hypertext documents connected through hyperlinks), social networks (such as people connected by …

We also discuss potential applications of our approach in the design and development of agents and behaviors in the block world genre. artificial intelligence, distance map, myer, (1 more...) AAAI …

Feb-7-2022– arXiv.org Artificial Intelligence In this work, we consider the problem of Quality-Diversity (QD) optimization with multiple objectives. QD algorithms have been proposed to search for a large …